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Journal articles on the topic 'Predictors of outcome'

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Published: 4 June 2021
Last updated: 21 February 2023

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1

Carey, Raymond G. "Functional Outcome Predictors." Archives of Physical Medicine and Rehabilitation 73, no. 4 (April 1992): 400. http://dx.doi.org/10.1016/0003-9993(92)90019-s.

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2

Lee, Jiann Der, Tzyh Chyang Chang, Shih Ting Yang, Chung Hsien Huang, and Ching Yi Wu. "The Potential Predictors of Motor Performance Outcomes after Rehabilitation for Patients with Stroke." Applied Mechanics and Materials 284-287 (January 2013): 1656–60. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.1656.

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The identification of potential predictors for motor outcome after rehabilitation helps underscore the factors that may affect treatment outcomes and target individuals who benefit the most from the therapy. In this study, we addressed and utilized a classifier to identify the potential predictors for motor performance outcome for patients with stroke after rehabilitation. The potential predictors selected and used by different assessments in this study were age, sex, time since stroke, education, neurologic status, and the movement performance of the upper extremity. This study aimed to identify predictors of motor performance outcomes after rehabilitation for stroke patients. The PSO-SVM was chosen in this study to find the predictor of motor function for clients with stroke. The potential predictors for motor outcome after rehabilitation were motor ability assessment of the Fugl-Meyer Assessment (FMA) and the Functional Independence Measure (FIM). This study is to investigate the potential demographic and clinical characteristics of stroke that can serve to predict rehabilitation outcomes in motor performance.
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3

Cho, Jae Hoon. "Outcome Predictors of Uvulopalatopharyngoplasty." Korean Journal of Otorhinolaryngology-Head and Neck Surgery 58, no. 9 (2015): 604. http://dx.doi.org/10.3342/kjorl-hns.2015.58.9.604.

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4

Moroney, J. T., and D. W. Desmond. "Predictors in stroke outcome." Neurology 48, no. 5 (May 1, 1997): 1475–76. http://dx.doi.org/10.1212/wnl.48.5.1475-d.

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5

Solomon, B. S., and L. A. Gentry. "Predictors in stroke outcome." Neurology 48, no. 5 (May 1, 1997): 1476. http://dx.doi.org/10.1212/wnl.48.5.1476.

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6

Ween, J. E., and M. P. Alexander. "Predictors in stroke outcome." Neurology 48, no. 5 (May 1, 1997): 1476–77. http://dx.doi.org/10.1212/wnl.48.5.1476-a.

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7

Demchuk, Andrew M., and Alastair M. Buchan. "PREDICTORS OF STROKE OUTCOME." Neurologic Clinics 18, no. 2 (May 2000): 455–73. http://dx.doi.org/10.1016/s0733-8619(05)70202-4.

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8

Wiwanitkit, Viroj. "Predictors for dengue outcome." International Journal of Infectious Diseases 17, no. 7 (July 2013): e570. http://dx.doi.org/10.1016/j.ijid.2013.02.013.

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9

Wilson, Robert. "Outcome Predictors in Bronchitis." Chest 108, no. 2 (August 1995): 53S—57S. http://dx.doi.org/10.1378/chest.108.2_supplement.53s.

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10

Nagaratnam, Nages, Davor Saravanja, Kevin Chiu, and Gail Jamieson. "Putaminal Hemorrhage and Outcome." Neurorehabilitation and Neural Repair 15, no. 1 (March 2001): 51–56. http://dx.doi.org/10.1177/154596830101500107.

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Twenty-five patients (average age, 65 ± 4.5 years) with spontaneous putaminal hemorrhage were studied to determine any independent predictors as to survival and level of disability. Based on the computed tomography (CT) findings, they were grouped according to their location and extent of the hemorrhage. The thalamus and the caudate were not involved. Univariate and multivariate regression analyses were done to determine any potential prognostic indicator. The groups were significantly different with regard to volume, intraventricular hemorrhage, midline shift, ambient cisterns, hydrocephalus, and disability score but not different with respect to pineal shift, side, gender, and age. The variables that arose as significant predictors of dis ability were intraventricular hemorrhage, midline shift, hydrocephalus, ambient cis terns (all p ≤ 0.001), pineal shift and age (both p ≤ 0.04). Neither gender nor side was a significant predictor for disability score (p = 0.92 and p = 0.125, respectively). Multivariate regression model included volume, ambient cisterns, and age as signifi cant predictors for disability score. Key Words: Putaminal hemorrhage—Intracerebral hemorrhage—Functional recovery—Mortality.
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11

ERDOS, CAROLINE, FRED GENESEE, ROBERT SAVAGE, and CORINNE HAIGH. "Predicting risk for oral and written language learning difficulties in students educated in a second language." Applied Psycholinguistics 35, no. 2 (January 15, 2013): 371–98. http://dx.doi.org/10.1017/s0142716412000422.

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ABSTRACTThe extent to which risk for French as a second language (L2) reading and language learning impairment are distinct and can be predicted using first language (L1) predictors was examined in English-speaking students in total French immersion programs. A total of 86 children were tested in fall of kindergarten, spring kindergarten, and spring Grade 1 using an extensive battery of L1 predictor tests (in kindergarten) and L2 outcome tests (in Grade 1). Analyses of the kindergarten predictor scores revealed distinct underlying components, one related to reading and one to oral language. Further analyses revealed that phonological awareness, phonological access, and letter-sound knowledge in L1 were significant predictors of risk for reading difficulties in L2 while performance on L1 sentence repetition, phonological awareness, and tense marking tests in kindergarten were the best predictors of risk for L1 and L2 oral language difficulties. Both fall- and spring-kindergarten predictors predicted Grade 1 outcomes to a significant extent, with the spring-kindergarten predictors being more accurate. These results provide support for distinctive risk profiles for L2 oral language and reading difficulty and, furthermore, argue that assessment of L1 abilities can be used to make reasonably accurate predictions of later reading and/or oral language learning difficulties in L2 students.
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12

Daley, Tamara C., Shannon E. Whaley, Marian D. Sigman, Donald Guthrie, Charlotte G. Neumann, and Nimrod Bwibo. "Background and classroom correlates of child achievement, cognitive, and behavioural outcomes in rural Kenyan schoolchildren." International Journal of Behavioral Development 29, no. 5 (September 2005): 399–408. http://dx.doi.org/10.1177/01650250500172780.

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In the current study, background data (sex, age, and SES) and classroom factors were examined as predictors of scholastic achievement and child cognitive and behavioural outcomes in a group of rural Kenyan schoolchildren during their first year of formal schooling. Previous research in this area has provided mixed results regarding the characteristics of children and school environments that best predict optimal outcomes for children. This study extended previous research through the use of multiple culturally grounded predictor and outcome variables; in addition to using observational techniques to assess the classroom environment, this study examined cognitive, academic, and behavioural measures. Results suggested that while background factors such as child age and SES are important predictors of child outcomes, inclusion of classroom factors significantly improved prediction for all types of child outcomes, and the addition of behaviour as a predictor shows an even greater effect. The largest effect was seen for the outcome variables most closely tied to classroom activities.
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13

Pisani, Francesco, and Carlotta Spagnoli. "Neonatal Seizures: A Review of Outcomes and Outcome Predictors." Neuropediatrics 47, no. 01 (November 20, 2015): 012–19. http://dx.doi.org/10.1055/s-0035-1567873.

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14

Seguin, John. "Questions about preeclampsia outcome predictors." American Journal of Obstetrics and Gynecology 184, no. 4 (March 2001): 783. http://dx.doi.org/10.1067/mob.2001.112106.

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15

Murray, Robin M., and Jim Van Os. "Predictors of Outcome in Schizophrenia." Journal of Clinical Psychopharmacology 18 (April 1998): 2S—4S. http://dx.doi.org/10.1097/00004714-199804001-00002.

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16

Doghramji, Karl, Zaven H. Jabourian, Michael Pilla, Anthony Farole, and Robert N. Lindholm. "Predictors of outcome for uvulopalatopharyngoplasty." Laryngoscope 105, no. 3 (March 1995): 311–14. http://dx.doi.org/10.1288/00005537-199503000-00016.

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17

Elsesser, Karin, and Gudrun Sartory. "OUTCOME PREDICTORS OF BENZODIAZEPINE WITHDRAWAL." Behavioural and Cognitive Psychotherapy 26, no. 3 (July 1998): 209–17. http://dx.doi.org/10.1017/s135246589800023x.

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Psychological treatment that reduces anxiety has been found to be beneficial to benzodiazepine withdrawal. High drop-out and relapse rates, however, have also been reported. They might be due to a heightened anxiety level maintaining the drug-taking habit or to the addictive potency of the drug, which is not addressed by the intervention strategies. In the present study, initial assessment data were compared among treatment refusers, drop-outs and completers – successful as well as unsuccessful ones – of a psychological treatment programme in support of benzodiazepine withdrawal. Treatment refusers showed a more negative current mood state than those consenting to treatment. Internal locus of control was predictive of premature termination and unsuccessful completion of the treatment trial. Neither medication-related variables nor anxiety or depression were found to influence the success of treatment. Perceived control over medication intake is thought to reduce compliance with the treatment regimen – a pattern that may be consistent with the addiction hypothesis.
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18

Dusenbery, Susan, Tal Geva, anna seale, Anne Marie Valente, Jing Zhou, Laureen Sena, and Robert Geggel. "OUTCOME PREDICTORS IN SCIMITAR SYNDROME." Journal of the American College of Cardiology 59, no. 13 (March 2012): E763. http://dx.doi.org/10.1016/s0735-1097(12)60764-5.

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19

Gross, Susan J., Jerry Shime, and Dan Farine. "Shoulder dystocia: Predictors and outcome." American Journal of Obstetrics and Gynecology 156, no. 2 (February 1987): 334–36. http://dx.doi.org/10.1016/0002-9378(87)90278-x.

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20

S M, Sujatha, Ramalingam A, Vinodkumar Radhakrishnan, Vasumathi G, Valarmathi K, and Anu S. "ACUTE STROKE: FUNCTIONAL OUTCOME PREDICTORS." Journal of Evolution of Medical and Dental Sciences 5, no. 23 (March 18, 2016): 1213–17. http://dx.doi.org/10.14260/jemds/2016/283.

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21

Naschitz, Johanan E., Deborah Ann Ambrosio, and John B. Chang. "Intermittent Claudication: Predictors and Outcome." Angiology 39, no. 1 (January 1988): 16–22. http://dx.doi.org/10.1177/000331978803900103.

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22

KAY, STANLEY R., and JEAN-PIERRE LINDENMAYER. "Outcome Predictors in Acute Schizophrenia." Journal of Nervous and Mental Disease 175, no. 3 (March 1987): 152–60. http://dx.doi.org/10.1097/00005053-198703000-00005.

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23

Karam, Youssef, Patrick W. Hitchon, Nakhle E. Mhanna, Wenzhuan He, and Jennifer Noeller. "Post-traumatic syringomyelia: Outcome predictors." Clinical Neurology and Neurosurgery 124 (September 2014): 44–50. http://dx.doi.org/10.1016/j.clineuro.2014.06.007.

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24

Breier, Alan, and David Pickar. "Predictors of outcome in schizophrenia." Biological Psychiatry 25, no. 7 (April 1989): A18. http://dx.doi.org/10.1016/0006-3223(89)91522-9.

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25

Beitchman, J. H., Jennifer Wild, and Jane Hood. "Prediction of Adjustment from Preschool to Middle Childhood." Canadian Journal of Psychiatry 38, no. 9 (November 1993): 622–27. http://dx.doi.org/10.1177/070674379303800911.

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This study identified predictor variables associated with outcome in middle childhood in a clinical preschool sample. These variables were examined in relation to functional level at outcome. At Time 1 the sample consisted of 129 children admitted to a psychiatric preschool program; 82 of these children comprised the follow-up sample at Time 2. The results indicated that the variables significantly associated with each child's outcome were IQ, the presence of diagnosis at Time 1 and the length of time each child was in the treatment program. Different predictors were important for different outcomes and a given predictor variable was not equally salient across all levels of outcome.
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26

Domazet, Ivan, Ivan Paŝalić, Jakob Nemir, Vjerislav Peterković, and Miroslav Vukić. "Predictors of Functional Outcome after Spinal Ependymoma Resection." Journal of Neurosciences in Rural Practice 09, no. 03 (July 2018): 354–58. http://dx.doi.org/10.4103/jnrp.jnrp_56_18.

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ABSTRACT Aim: Spinal ependymomas are among the most common intramedullary neoplasms in both adults and children. While surgical resection is the golden treatment standard, the role chemotherapy and radiotherapy have in patients with spinal ependymomas remains unclear. The aim of this study is to determine the predictors of functional outcome following spinal ependymoma resection to single out patients that may require adjuvant therapy. Methods: We conducted a retrospective study on patients that underwent spinal ependymoma resection in our institution in a 10-year period. Magnetic resonance imaging of the spine was used to set the diagnosis of an intradural/intramedullary neoplasm. All patients underwent either gross tumor resection or tumor mass reduction. Histological diagnosis and histopathological grading of spinal ependymoma were done for all collected samples. Patients’ general and neurological examination were performed early after the surgery (within the 1st week) and in a 6-month follow-up. Results: A total of 51 intradural and intramedullary ependymoma resection surgeries on 43 patients were performed. There were slightly more male patients (57%) and the average patient age was 41 years. About 76.5% of patients presented with a tumor affecting one vertebrae level, while 23.5% presented with tumors expanding over two or more spinal regions. Gross tumor resection was achieved in 80% of cases, while 25% of procedures were performed on a recurring ependymomas. Most of the tumors (57%) were classified as G2 histological grade, while 8% were anaplastic ependymomas. In 80% of cases, early postoperative patient status was either better or equivalent to the preoperative one, while in a 6-month follow-up, up to 60% of cases showed a significant improvement over the preoperative status. Different demographic and clinical parameters were not proven to be predictors of postsurgical patient outcome including age, gender, and initial neurological presentation. Interestingly, most tumor characteristics were also not associated with postoperative functional outcome (histological grade, number of vertebrae levels affected, whether it is a primary or recurrent tumor). Even the scope of surgical procedure did not affect the functional outcome. The spinal region affected by the tumor was proven to be a predictor of early postoperative outcome (ρ = 0.346, P = 0.033), with lumbar spine being associated with the best outcomes. As expected, the scope of the surgery and whether gross tumor resection or tumor mass reduction was performed were the only significant predictors of tumor recurrence (ρ = 0.391, P = 0.005). Conclusions: Spinal ependymoma resection is an efficient procedure that improves the patient outcomes. Spinal region affected by the tumor is likely to be the most important predictor of functional outcome, while the procedure scope seems to be the most important predictor of tumor recurrence.
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Winkel, Per, Janus Christian Jakobsen, Jørgen Hilden, Gorm Jensen, Erik Kjøller, Ahmad Sajadieh, Jens Kastrup, et al. "Prognostic value of routinely available data in patients with stable coronary heart disease. A 10-year follow-up of patients sampled at random times during their disease course." Open Heart 5, no. 2 (September 2018): e000808. http://dx.doi.org/10.1136/openhrt-2018-000808.

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ObjectiveTo characterise the long-term prognosis of patients with stable coronary artery heart disease by means of ‘standard predictors’ defined as demographic, clinical and biochemical quantities routinely available in general practices and ascertained at an interview not prompted by renewed cardiac complaints.MethodsThis is an observational study based on data from 2199 Copenhagen placebo patients from the ‘clarithromycin for patients with stable coronary heart disease’ trial of patients with stable coronary heart disease. In the trial, we compared the effects of 14 days of clarithromycin treatment versus placebo. The predictors were based on the interview forms and blood samples collected at entry, along with demographic information from hospital files.We studied ‘standard predictors’ of a composite outcome (myocardial infarction, unstable angina, cerebrovascular disease or all-cause death) and of all-cause death. Using Cox regression, we compared predictions of status at 3, 6 and 9 years without and with the use of ‘standard predictors’ and used receiver operating characteristic statistic.ResultsFew ‘standard predictors’ were associated (p<0.01) with the composite outcome or with all-cause death. When no ‘standard predictors’ were included, 63.2% of the model-based predictions of the composite outcome and 79.9% of death predictions were correct. Including all ‘standard predictors’ in the model increased the figures to 68.4% and 83.4%, respectively. C indices were low, except when all-cause death was assessed as a single outcome where C was 0.79.Conclusion‘Standard predictors’ routinely available in general practices contribute only modestly to risk assessment in consecutively sampled patients with stable coronary heart disease as ascertained at a contact not prompted by renewed cardiac complaints. Novel biomarkers may improve the assessment.Trial registration numberNCT00121550.
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28

Alperin, Noam, James Ryan Loftus, Ahmet M. Bagci, Sang H. Lee, Carlos J. Oliu, Ashish H. Shah, and Barth A. Green. "Magnetic resonance imaging–based measures predictive of short-term surgical outcome in patients with Chiari malformation Type I: a pilot study." Journal of Neurosurgery: Spine 26, no. 1 (January 2017): 28–38. http://dx.doi.org/10.3171/2016.5.spine1621.

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OBJECTIVE This study identifies quantitative imaging-based measures in patients with Chiari malformation Type I (CM-I) that are associated with positive outcomes after suboccipital decompression with duraplasty. METHODS Fifteen patients in whom CM-I was newly diagnosed underwent MRI preoperatively and 3 months postoperatively. More than 20 previously described morphological and physiological parameters were derived to assess quantitatively the impact of surgery. Postsurgical clinical outcomes were assessed in 2 ways, based on resolution of the patient's chief complaint and using a modified Chicago Chiari Outcome Scale (CCOS). Statistical analyses were performed to identify measures that were different between the unfavorable- and favorable-outcome cohorts. Multivariate analysis was used to identify the strongest predictors of outcome. RESULTS The strongest physiological parameter predictive of outcome was the preoperative maximal cord displacement in the upper cervical region during the cardiac cycle, which was significantly larger in the favorable-outcome subcohorts for both outcome types (p < 0.05). Several hydrodynamic measures revealed significantly larger preoperative-to-postoperative changes in the favorable-outcome subcohort. Predictor sets for the chief-complaint classification included the cord displacement, percent venous drainage through the jugular veins, and normalized cerebral blood flow with 93.3% accuracy. Maximal cord displacement combined with intracranial volume change predicted outcome based on the modified CCOS classification with similar accuracy. CONCLUSIONS Tested physiological measures were stronger predictors of outcome than the morphological measures in patients with CM-I. Maximal cord displacement and intracranial volume change during the cardiac cycle together with a measure that reflects the cerebral venous drainage pathway emerged as likely predictors of decompression outcome in patients with CM-I.
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29

Shorey, Shefaly, Lau Ying, and Piyanee Yobas. "Parenting Outcomes and Predictors of Parenting Satisfaction in the Early Postpartum Period." Western Journal of Nursing Research 43, no. 1 (January 2020): 13–24. http://dx.doi.org/10.1177/0193945920914593.

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This study examined the relationships among parenting self-efficacy (PSE), social support, postnatal depression (PND), and predictors of parenting satisfaction in the early postpartum period using a cross-sectional exploratory quantitative design. The hypothetical model was tested among interrelated concepts of outcome variables among 250 parents (125 couples). The structural equation model revealed an adequate fit between the hypothesized model and the data. PSE and spousal support were found to be predictors of parenting satisfaction. PSE was also found to be a predictor of social support. PND was not found to be a predictor of parenting satisfaction. None of the obstetric and demographic factors predicted parenting satisfaction. This is the first study that tested interrelations among crucial parenting outcome variables among fathers and mothers in the early postpartum period. It is important to assess interrelated parenting outcomes among both parents so that support can be provided to ultimately influence parenting satisfaction.
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30

Temkin, Nancy R., Richard Holubkov, Joan E. Machamer, H. Richard Winn, and Sureyya S. Dikmen. "Classification and regression trees (CART) for prediction of function at 1 year following head trauma." Journal of Neurosurgery 82, no. 5 (May 1995): 764–71. http://dx.doi.org/10.3171/jns.1995.82.5.0764.

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✓ A cohort of 514 hospitalized head-injury survivors was identified based on their injury and 448 (87%) of them were followed for 1 year. Comprehensive neurobehavioral testing was performed 1 month and 1 year after injury. The authors developed predictions of six neuropsychological and two psychosocial outcomes 1 year after head injury. Prediction trees are presented for verbal IQ, Halstead's Impairment Index, and work status at 1 year. Early predictors of neurobehavioral outcome in survivors are similar to previously reported predictors of mortality. Extent (both depth and length) of coma and age are the medical and demographic variables most predictive of late outcome. Adding 1-month scores substantially improves prediction of neuropsychological variables. The classification and regression tree is a useful technique for predicting long-term outcome in patients with head injury. The trees are simple enough to be used in a clinical setting and, especially with 1-month scores, predictions are accurate enough for clinical utility.
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31

Nho, Shane J., Edward C. Beck, Benedict U. Nwachukwu, Gregory L. Cvetanovich, William H. Neal, Joshua D. Harris, Alexander E. Weber, and Richard C. Mather. "Survivorship and Outcome of Hip Arthroscopy for Femoroacetabular Impingement Syndrome Performed With Modern Surgical Techniques." American Journal of Sports Medicine 47, no. 7 (May 30, 2019): 1662–69. http://dx.doi.org/10.1177/0363546519843936.

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Background: Hip arthroscopy for femoroacetabular impingement syndrome (FAIS) is a rapidly growing field in sports surgery; however, factors associated with poor outcomes and identification of predictor models of inferior clinical outcomes is unclear. Purpose: To analyze predictors of clinical failure and inferior clinical outcomes among patients undergoing hip arthroscopy for treatment of FAIS. Study Design: Case-control study; Level of evidence, 3. Methods: Data were collected and analyzed from consecutive patients who underwent primary hip arthroscopy with routine capsular closure for the treatment of FAIS from a single fellowship-trained surgeon between January 2012 and November 2015. Baseline data, postoperative patient-reported outcomes, and rates of clinical failure and inferior clinical outcomes were recorded at 2 years postoperatively. Clinical failure was defined by revision hip arthroscopy or conversion to total hip arthroplasty. Inferior clinical outcome was defined as not reaching the minimal clinically important difference (MCID) or patient acceptable symptomatic state for Hip Outcome Score–Activities of Daily Living. A multivariate logistic regression analysis was used to identify significant predictors of clinical failure and inferior clinical outcome. Results: Out of 1161 eligible patients, 935 (80.5%) completed 2-year postoperative patient-reported outcomes. The mean ± SD age and body mass index were 33.3 ± 12.3 years and 25.4 ± 8.2 kg/m2, respectively. The overall clinical failure rate was 3.6% (n = 34), including 23 cases (2.5%) of revision hip arthroscopy and 11 cases (1.2%) of conversion to total hip arthroplasty. Predictors of clinical failure were lower preoperative International Hip Outcome Tool score ( P = .016), chronic preoperative pain ( P = .001), and chondromalacia in the affected hip ( P = .04). The inferior clinical outcome group, consisting of those who failed to reach the MCID for Hip Outcome Score–Activities of Daily Living, included 256 patients (27.4%). Predictors of inferior clinical outcomes were Tönnis grade >1 ( P = .01), workers’ compensation ( P < .001), and increased body mass index ( P = .02). Conclusion: This study demonstrates that 73% of all patients treated for symptomatic FAIS with primary hip arthroscopy and routine capsular closure achieved the MCID. Clinical failure is predicted by a number of modifiable and nonmodifiable factors, including chronic preoperative pain and presence of chondromalacia. The current study updates the midterm failure rates and outcomes achievable with hip arthroscopy for FAIS.
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LeGrand, Kaya J., Lisa Wisman Weil, Catherine Lord, and Rhiannon J. Luyster. "Identifying Childhood Expressive Language Features That Best Predict Adult Language and Communication Outcome in Individuals With Autism Spectrum Disorder." Journal of Speech, Language, and Hearing Research 64, no. 6 (June 4, 2021): 1977–91. http://dx.doi.org/10.1044/2021_jslhr-20-00544.

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Purpose Several studies have reported that “useful speech” at 5 years of age predicts outcomes in individuals with autism spectrum disorder (ASD), but this skill has been vaguely defined. This study investigates which specific aspects of expressive language in children with ASD best predict adult language and communication outcomes. Method Language samples from 29 children (ages 47–72 months) enrolled in a longitudinal project (e.g., Lord et al., 2006 ) were transcribed and coded for spoken language features. Hierarchical linear regression was used to compare the following childhood variables as predictors of adult language and communication outcomes: noun diversity, verb diversity, mean length of utterance, and proportion of utterances that were socially motivated. Results Childhood verb diversity was a value-added predictor of all four adult outcome measures (i.e., verbal IQ, Autism Diagnostic Observation Schedule Communication + Social Interaction Algorithm totals, Peabody Picture Vocabulary Test scores, and Vineland Adaptive Behavior Scales Communication Domain scores), while noun diversity and proportion of utterances that were socially motivated were not value-added predictors of any adult outcome measures. In a second set of regression analyses, mean length of utterance was substituted for verb diversity and was a value-added predictor of two out of four adult outcome measures (i.e., verbal IQ and Vineland Adaptive Behavior Scales Communication Domain scores). The pattern of findings for the other predictors remained the same as in the previous analyses. Conclusion These results have implications for our understanding of early language in ASD and for clinical decision making in early childhood.
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33

Zador, Zsolt, Wendy Huang, Matthew Sperrin, and Michael T. Lawton. "Multivariable and Bayesian Network Analysis of Outcome Predictors in Acute Aneurysmal Subarachnoid Hemorrhage: Review of a Pure Surgical Series in the Post-International Subarachnoid Aneurysm Trial Era." Operative Neurosurgery 14, no. 6 (July 31, 2017): 603–10. http://dx.doi.org/10.1093/ons/opx163.

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AbstractBACKGROUNDFollowing the International Subarachnoid Aneurysm Trial (ISAT), evolving treatment modalities for acute aneurysmal subarachnoid hemorrhage (aSAH) has changed the case mix of patients undergoing urgent surgical clipping.OBJECTIVETo update our knowledge on outcome predictors by analyzing admission parameters in a pure surgical series using variable importance ranking and machine learning.METHODSWe reviewed a single surgeon's case series of 226 patients suffering from aSAH treated with urgent surgical clipping. Predictions were made using logistic regression models, and predictive performance was assessed using areas under the receiver operating curve (AUC). We established variable importance ranking using partial Nagelkerke R2 scores. Probabilistic associations between variables were depicted using Bayesian networks, a method of machine learning.RESULTSImportance ranking showed that World Federation of Neurosurgical Societies (WFNS) grade and age were the most influential outcome prognosticators. Inclusion of only these 2 predictors was sufficient to maintain model performance compared to when all variables were considered (AUC = 0.8222, 95% confidence interval (CI): 0.7646-0.88 vs 0.8218, 95% CI: 0.7616-0.8821, respectively, DeLong's P = .992). Bayesian networks showed that age and WFNS grade were associated with several variables such as laboratory results and cardiorespiratory parameters.CONCLUSIONOur study is the first to report early outcomes and formal predictor importance ranking following aSAH in a post-ISAT surgical case series. Models showed good predictive power with fewer relevant predictors than in similar size series. Bayesian networks proved to be a powerful tool in visualizing the widespread association of the 2 key predictors with admission variables, explaining their importance and demonstrating the potential for hypothesis generation.
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34

Schuurmans, Josien, Hannie Comijs, Paul M. G. Emmelkamp, Ingrid J. C. Weijnen, Marcel van den Hout, and Richard van Dyck. "Long-term effectiveness and prediction of treatment outcome in cognitive behavioral therapy and sertraline for late-life anxiety disorders." International Psychogeriatrics 21, no. 6 (July 13, 2009): 1148–59. http://dx.doi.org/10.1017/s1041610209990536.

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ABSTRACTBackground: Although anxiety disorders are prevalent in older adults, randomized controlled trials of treatment effectiveness for late-life anxiety are scarce and have focused primarily on the effectiveness of psychotherapeutic interventions. However, recent findings suggest that in some cases, pharmacological treatment may be more beneficial for late-life anxiety disorders. As yet, there have been no systematic studies investigating prognostic factors for the outcome of cognitive behavioral therapy (CBT) and pharmacotherapy for late-life anxiety. The objective of the present study was to study long-term treatment outcomes and to explore differential predictors for both short-term and long-term treatment outcomes of sertraline and CBT for late-life anxiety disorders.Methods: Participants of a randomized controlled trial (RCT) comparing sertraline and CBT for the treatment of late-life anxiety were contacted one year after completing their treatment, so that predictors for both short-term and long-term treatment outcome could be established.Results: Sertraline showed a greater reduction of symptoms than CBT on anxiety (Hamilton Anxiety Rating Scale; HARS) and worry (Worry Domain Questionnaire) ratings at one-year follow-up. The strongest predictor for short-term CBT outcome was poor perceived health, explaining 40% of the variance in post-treatment residual gain scores on the HARS. The strongest predictor for long-term CBT outcome was neuroticism, explaining 20% of the variance in residual gain scores at one-year follow-up. Analyses revealed no significant predictors for treatment outcome in sertraline participants.Conclusions: Our study suggests that long-term use of sertraline might be more beneficial for late-life anxiety than a 15-week CBT program. Poor perceived health and neuroticism are predictive of less improvement after CBT in anxious older adults. Implications of these findings are discussed.
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Kroner, B. L., and D. DiMichele. "The North American Immune Tolerance Registry: Practices, Outcomes, Outcome Predictors." Thrombosis and Haemostasis 87, no. 01 (2002): 52–57. http://dx.doi.org/10.1055/s-0037-1612943.

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SummaryThe North American Immune Tolerance Registry was initiated to study of immune tolerance (ITT) in Canada and the United States with respect to: 1) therapeutic regimens in use for haemophilia A (HA) and B (HB) inhibitor patients; 2) therapeutic outcomes; 3) potential predictors of successful outcome and 4) complications of therapy. Data on 188 ITT courses was collected by questionnaire from 60 haemophilia centers from 1993-99. Among the completed courses, the overall ITT success rate was 70% (115/164) for all HA and 31% (5/16) for all HB. Outcome parameters noted to be predictive of ITT success for all HA were 1) pre-ITT induction (p = 0.003), 2) ITT peak (p = 0.007) and 3) historical pre ITT peak (p = 0.04) inhibitor titres. An inverse correlation between total daily dose (units/kg/day) and success: (80% with under 50; 71% with 50-99; 73% with 100-199; and 41% with ≥ 200, p = 0.01) was found. Outcome predictors were not evaluable for HB, although adverse reactions to therapy, including nephrotic syndrome, and access complications were more common among failed courses. Infection most often complicated the use of access catheters. These results are discussed within the context of the international ITT registry and upcoming prospective ITT study.
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Harrison, Patricia A., and Stephen E. Asche. "Adolescent Treatment for Substance Use Disorders: Outcomes and Outcome Predictors." Journal of Child & Adolescent Substance Abuse 11, no. 2 (December 2001): 1–17. http://dx.doi.org/10.1300/j029v11n02_01.

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Andrews, Peter J. D., Derek H. Sleeman, Patrick F. X. Statham, Andrew McQuatt, Vincent Corruble, Patricia A. Jones, Timothy P. Howells, and Carol S. A. Macmillan. "Predicting recovery in patients suffering from traumatic brain injury by using admission variables and physiological data: a comparison between decision tree analysis and logistic regression." Journal of Neurosurgery 97, no. 2 (August 2002): 326–36. http://dx.doi.org/10.3171/jns.2002.97.2.0326.

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Object. Decision tree analysis highlights patient subgroups and critical values in variables assessed. Importantly, the results are visually informative and often present clear clinical interpretation about risk factors faced by patients in these subgroups. The aim of this prospective study was to compare results of logistic regression with those of decision tree analysis of an observational, head-injury data set, including a wide range of secondary insults and 12-month outcomes. Methods. One hundred twenty-four adult head-injured patients were studied during their stay in an intensive care unit by using a computerized data collection system. Verified values falling outside threshold limits were analyzed according to insult grade and duration with the aid of logistic regression. A decision tree was automatically produced from root node to target classes (Glasgow Outcome Scale [GOS] score). Among 69 patients, in whom eight insult categories could be assessed, outcome at 12 months was analyzed using logistic regression to determine the relative influence of patient age, admission Glasgow Coma Scale score, Injury Severity Score (ISS), pupillary response on admission, and insult duration. The most significant predictors of mortality in this patient set were duration of hypotensive, pyrexic, and hypoxemic insults. When good and poor outcomes were compared, hypotensive insults and pupillary response on admission were significant. Using decision tree analysis, the authors found that hypotension and low cerebral perfusion pressure (CPP) are the best predictors of death, with a 9.2% improvement in predictive accuracy (PA) over that obtained by simply predicting the largest outcome category as the outcome for each patient. Hypotension was a significant predictor of poor outcome (GOS Score 1–3). Low CPP, patient age, hypocarbia, and pupillary response were also good predictors of outcome (good/poor), with a 5.1% improvement in PA. In certain subgroups of patients pyrexia was a predictor of good outcome. Conclusions. Decision tree analysis confirmed some of the results of logistic regression and challenged others. This investigation shows that there is knowledge to be gained from analyzing observational data with the aid of decision tree analysis.
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Page, Rachael, Zachary Michael Ferraro, Felipe Moretti, and Karen Fung Kee Fung. "Gastroschisis: Antenatal Sonographic Predictors of Adverse Neonatal Outcome." Journal of Pregnancy 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/239406.

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Objectives. The aim of this review was to identify clinically significant ultrasound predictors of adverse neonatal outcome in fetal gastroschisis.Methods. A quasi-systematic review was conducted in PubMed and Ovid using the key terms “gastroschisis,” “predictors,” “outcome,” and “ultrasound.”Results. A total of 18 papers were included. The most common sonographic predictors were intra-abdominal bowel dilatation (IABD), intrauterine growth restriction (IUGR), and bowel dilatation not otherwise specified (NOS). Three ultrasound markers were consistently found to be statistically insignificant with respect to predicting adverse outcome including abdominal circumference, stomach herniation and dilatation, and extra-abdominal bowel dilatation (EABD).Conclusions. Gastroschisis is associated with several comorbidities, yet there is much discrepancy in the literature regarding which specific ultrasound markers best predict adverse neonatal outcomes. Future research should include prospective trials with larger sample sizes and use well-defined and consistent definitions of the adverse outcomes investigated with consideration given to IABD.
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Taylor, Rachael W., Lindsey Marwood, Ben Greer, Rebecca Strawbridge, and Anthony J. Cleare. "Predictors of response to augmentation treatment in patients with treatment-resistant depression: A systematic review." Journal of Psychopharmacology 33, no. 11 (September 17, 2019): 1323–39. http://dx.doi.org/10.1177/0269881119872194.

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Background: Treatment-resistant depression is an important contributor to the global burden of depression. Antidepressant augmentation is a recommended treatment strategy for treatment-resistant patients, but outcomes remain poor. Identifying factors that are predictive of response to augmentation treatments may improve outcomes. Aims: This review aimed to synthesise the existing literature examining predictors of response to augmentation treatments in patients who had insufficiently responded to initial treatment. Methods: A systematic search was conducted identifying 2241 unique manuscripts. 24 examining predictors of outcome to pharmacological or psychological augmentation treatment were included in this review. Results: Atypical antipsychotics were the most frequently assessed treatment class (nine studies), closely followed by mood stabilisers (eight studies). Only one eligible psychological augmentation study was identified. Early response to treatment (week 2) was the best-supported predictor of subsequent treatment outcome, reported by six studies. Many predictor variables were only assessed by one report and others such as pre-treatment severity yielded contradictory results, both within and across treatment classes. Conclusions: This review highlights the importance of early response as a predictor of pharmacological augmentation outcome, with implications for both the monitoring and treatment of resistant unipolar patients. Further replication is needed across specific interventions to fully assess the generalisability of this finding. However, the clear lack of consistent evidence for other predictive factors both within and across treatments, and the scarce examination of psychological augmentation, demonstrates the need for much more research of a high quality if response prediction is to improve outcomes for patients with treatment-resistant depression.
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Garg, Ashish, Renu Suthar, Venkataseshan Sundaram, Praveen Kumar, and Suresh K. Angurana. "Clinical profile, aetiology, short-term outcome and predictors of poor outcome of neonatal seizures among out-born neonates admitted to a neonatal unit in Paediatric emergency of a tertiary care hospital in North India: A prospective observational study." Tropical Doctor 51, no. 3 (May 21, 2021): 365–71. http://dx.doi.org/10.1177/00494755211016226.

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Neonatal seizures are common manifestations of several neurological or systemic disorders and associated with high morbidity, mortality and poor short- and long-term developmental outcomes. It is important to determine the aetiology and factors that determine the poor outcome, more so in a newly developed setting. The early detection of predictors of poor outcome will help in planning acute management, counselling, follow-up and rehabilitation services. In this prospective observational study, we looked at the clinical profile, aetiology, short-term outcomes and predictors of poor outcome of neonatal seizures among out-born neonates. The common causes were hypoxic ischaemic encephalopathy, sepsis and metabolic disturbances. One-third of neonates had poor outcome. Abnormal neurological and cardiorespiratory examination at admission; low oxygen saturation, glucose and pH; and hypoxic ischemic encephalopathy-III were predictors of poor outcome.
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Dostovic, Zikrija, Ernestina Dostovic, Dzevdet Smajlovic, Omer Ibrahimagic, Leila Avdic, and and Becirovic. "Predictors for Post- Stroke Delirium Outcome." Materia Socio Medica 28, no. 5 (2016): 382. http://dx.doi.org/10.5455/msm.2016.28.382-386.

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Bratton, S. L. "Outcome Predictors for Severe Head Trauma." AAP Grand Rounds 5, no. 6 (June 1, 2001): 57. http://dx.doi.org/10.1542/gr.5-6-57.

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Anand, Veena, and P. M. C. Nair. "Neonatal seizures: Predictors of adverse outcome." Journal of Pediatric Neurosciences 9, no. 2 (2014): 97. http://dx.doi.org/10.4103/1817-1745.139261.

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Eifler, John B., Daniel A. Barocas, and Matthew J. Resnick. "Predictors of Outcome in Bladder Cancer." Journal of the National Comprehensive Cancer Network 12, no. 11 (October 31, 2014): 1549–54. http://dx.doi.org/10.6004/jnccn.2014.0154.

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Dono, Antonio, Victor Lopez-Rivera, Ankush Chandra, Cole T. Lewis, Rania Abdelkhaleq, Sunil A. Sheth, Leomar Y. Ballester, and Yoshua Esquenazi. "Predictors of outcome in pleomorphic xanthoastrocytoma." Neuro-Oncology Practice 8, no. 2 (November 20, 2020): 222–29. http://dx.doi.org/10.1093/nop/npaa076.

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Abstract Background Pleomorphic xanthoastrocytomas (PXA) are circumscribed gliomas that typically have a favorable prognosis. Limited studies have revealed factors affecting survival outcomes in PXA. Here, we analyzed the largest PXA dataset in the literature and identify factors associated with outcomes. Methods Using the Surveillance, Epidemiology, and End Results (SEER) 18 Registries database, we identified histologically confirmed PXA patients between 1994 and 2016. Overall survival (OS) was analyzed using Kaplan-Meier survival and multivariable Cox proportional hazard models. Results In total, 470 patients were diagnosed with PXA (males = 53%; median age = 23 years [14-39 years]), the majority were Caucasian (n = 367; 78%). The estimated mean OS was 193 months [95% CI: 179-206]. Multivariate analysis revealed that greater age at diagnosis (≥39 years) (3.78 [2.16-6.59], P &lt; .0001), larger tumor size (≥30 mm) (1.97 [1.05-3.71], P = .034), and postoperative radiotherapy (RT) (2.20 [1.31-3.69], P = .003) were independent predictors of poor OS. Pediatric PXA patients had improved survival outcomes compared to their adult counterparts, in which chemotherapy (CT) was associated with worse OS. Meanwhile, in adults, females and patients with temporal lobe tumors had an improved survival; conversely, tumor size ≥30 mm and postoperative RT were associated with poor OS. Conclusions In PXA, older age and larger tumor size at diagnosis are risk factors for poor OS, while pediatric patients have remarkably improved survival. Postoperative RT and CT appear to be ineffective treatment strategies while achieving GTR confer an improved survival in male patients and remains the cornerstone of treatment. These findings can help optimize PXA treatment while minimizing side effects. However, further studies of PXAs with molecular characterization are needed.
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Park, Jae Jun, Won Ho Kim, and Jae Hee Cheon. "Outcome Predictors for Intestinal Behçet's Disease." Yonsei Medical Journal 54, no. 5 (2013): 1084. http://dx.doi.org/10.3349/ymj.2013.54.5.1084.

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Millichap, J. Gordon. "Early Predictors of HIE Adverse Outcome." Pediatric Neurology Briefs 14, no. 5 (May 1, 2000): 37. http://dx.doi.org/10.15844/pedneurbriefs-14-5-7.

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Bohanes, Pierre, and Heinz-Josef Lenz. "Predictors of Outcome in Rectal Cancer." Radiation Medicine Rounds 1, no. 2 (August 1, 2010): 349–65. http://dx.doi.org/10.5003/2151-4208.1.2.349.

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Das, Prajnan, and Christopher H. Crane. "Predictors of Outcome for Anal Cancer." Radiation Medicine Rounds 1, no. 2 (August 1, 2010): 391–97. http://dx.doi.org/10.5003/2151-4208.1.2.391.

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Quan, Linda, and Dennis Kinder. "Pediatric Submersions: Prehospital Predictors of Outcome." Pediatrics 90, no. 6 (December 1, 1992): 909–13. http://dx.doi.org/10.1542/peds.90.6.909.

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This retrospective cohort study was conducted to test prehospital prognostic indicators in pediatric submersion victims. The authors studied all less than 20 years old victims submerged in the non-icy waters of King County, WA who were treated by Seattle or King County Emergency Medical Services between 1985 and 1989 and were hospitalized or died. Seventy-seven victims were identified from emergency medical services incident logs, hospital discharge records, and medical examiner's registries. Outcome predictors were correlated with the victim's condition at hospital discharge. Of 29 victims in cardiac arrest, 13 had return of spontaneous circulation following field resuscitation. Of these, 6 (21%) survived, with mild (n = 2) and severe (n = 4) neurologic impairment at hospital discharge. The best outcome predictors were obtained in the field. These were, for death or severe neurologic impairment, submersion durations &gt;10 minutes (6/6) and resuscitation durations &gt;25 minutes (17/17), and for good outcome, sinus rhythm (37/37), reactive pupils (43/43), and neurologic responsiveness (40/40) at the scene. Field-determined factors were reproducibly good outcome predictors. Aggressive emergency medical services may save the lives of pediatric victims in cardiac arrest following short submersion durations. The data support pronouncing dead in the field those pediatric victims of non-icy submersions who do not respond to advanced life support within 25 minutes.
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