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Journal articles on the topic 'Comorbidity'

Author: Grafiati

Published: 4 June 2021

Last updated: 30 July 2024

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1

Ronzano, Francesco, Alba Gutiérrez-Sacristán, and Laura I. Furlong. "Comorbidity4j: a tool for interactive analysis of disease comorbidities over large patient datasets." Bioinformatics 35, no. 18 (January 25, 2019): 3530–32. http://dx.doi.org/10.1093/bioinformatics/btz061.

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Abstract Summary Pushed by the growing availability of Electronic Health Records for data mining, the identification of relevant patterns of co-occurring diseases over a population of individuals—referred to as comorbidity analysis—has become a common practice due to its great impact on life expectancy, quality of life and healthcare costs. In this scenario, the availability of scalable, easy-to-use software frameworks tailored to support the study of comorbidities over large datasets of patients is essential. We introduce Comorbidity4j, an open-source Java tool to perform systematic analyses of comorbidities by generating interactive Web visualizations to explore and refine results. Comorbidity4j processes user-provided clinical data by identifying significant disease co-occurrences and computing a comprehensive set of comorbidity indices. Patients can be stratified by sex, age and user-defined criteria. Comorbidity4j supports the analysis of the temporal directionality and the sex ratio of diseases. The incremental upload and validation of clinical input data and the customization of comorbidity analyses are performed by an interactive Web interface. With a Web browser, the results of such analyses can be filtered with respect to comorbidity indexes and disease names and explored by means of heat maps and network charts of disease associations. Comorbidity4j is optimized to efficiently process large datasets of clinical data. Besides a software tool for local execution, we provide Comorbidity4j as a Web service to enable users to perform online comorbidity analyses. Availability and implementation Doc: http://comorbidity4j.readthedocs.io/; Source code: https://github.com/fra82/comorbidity4j, Web tool: http://comorbidity.eu/comorbidity4web/.

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2

Angold, Adrian, E. Jane Costello, and Alaattin Erkanli. "Comorbidity." Journal of Child Psychology and Psychiatry 40, no. 1 (January 1999): 57–87. http://dx.doi.org/10.1111/1469-7610.00424.

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3

S Malhi, Anthony S Hale, Gin. "Comorbidity." International Journal of Psychiatry in Clinical Practice 4, no. 2 (January 2000): 163–64. http://dx.doi.org/10.1080/13651500050518370.

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4

Schmits, E., E. Quertemont, P. Maurage, Y. Briane, P. de Timary, and D. Grynberg. "COMORBIDITY." Alcohol and Alcoholism 48, suppl 1 (August 12, 2013): i49—i50. http://dx.doi.org/10.1093/alcalc/agt115.

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5

Saravay, Stephen M. "Comorbidity." JAMA 296, no. 2 (July 12, 2006): 223. http://dx.doi.org/10.1001/jama.296.2.226.

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Sari, Yeni Kartika, Thatit Nurmawati, Joko Ivnu Santoso, and Maratus Sholichah Fitriah Hajar Kusnianto. "Comorbidity and Fatality Among Covid Patients: A Hospital Based-Retrospective Cohort Study." Jurnal Ners dan Kebidanan (Journal of Ners and Midwifery) 10, no. 2 (September 5, 2023): 210–16. http://dx.doi.org/10.26699/jnk.v10i2.art.p210-216.

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People with comorbid diseases have a high risk of contracting COVID-19, because the immune system has decreased, thus increasing the risk of transmission of COVID-19 and even potentially increasing the risk of fatality. This study aimed to determine the comorbidity and mortality among COVID-19 confirmed cases during May to September, 2021. The study was a retrospective cohort with secondary data from the COVID-19 with in Hospital report from May to September, 2021, with a total sample of 178. We extracted demographic and clinical data, including hospital outcomes (discharge or death). The result of the research showed that the respondents separated in to two groups, half of them are patients with comorbidity (89 patients) and the rest are patients non comorbidity. From 89 patients with comorbidity, 62 % were died and 38 % were discharged. The most comorbidites were 67,4% diabetes mellitus, 33% hypertension. The fatality rate of COVID-19 patients was 34% devided to 61,8% were comorbidity patients and 5,5% were non comorbidity. The comorbidity related to fatality rate of COVID-19 patientâ€™s (p=0.000). It is important for society to avoid and control comorbid factors of COVID-19

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7

Tulkinovna, Isanova Shoira. "Modern Views Of Obesity –Comorbidity." American Journal of Medical Sciences and Pharmaceutical Research 02, no. 08 (August 20, 2020): 27–36. http://dx.doi.org/10.37547/tajmspr/volume02issue08-04.

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8

Kaneko, Takeshi. "3. Comorbidity." Nihon Naika Gakkai Zasshi 104, no. 6 (2015): 1089–97. http://dx.doi.org/10.2169/naika.104.1089.

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9

Chrischilles, Elizabeth, Kathleen Schneider, June Wilwert, Gregory Lessman, Brian O’Donnell, Brian Gryzlak, Kara Wright, and Robert Wallace. "Beyond Comorbidity." Medical Care 52 (March 2014): S75—S84. http://dx.doi.org/10.1097/mlr.0000000000000026.

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10

Watt, Fiona E. "Comorbidity: arthritis." Maturitas 124 (June 2019): 123–24. http://dx.doi.org/10.1016/j.maturitas.2019.04.046.

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11

Wasielewski, Ray C., Harrison Weed, Cindy Prezioso, Chris Nicholson, and Rajeer D. Puri. "Patient Comorbidity." Clinical Orthopaedics and Related Research 356 (November 1998): 85–92. http://dx.doi.org/10.1097/00003086-199811000-00014.

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12

Casas, M., A. Ramos, R. Bosch, and N. Gomez. "Hidden comorbidity." European Psychiatry 22 (March 2007): S38. http://dx.doi.org/10.1016/j.eurpsy.2007.01.151.

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13

PIPERO, Pëllumb. "EDITORIAL – Comorbidity." Medicus 7, no. 2 (2023): 5–6. http://dx.doi.org/10.58944/gedb7074.

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Comorbidities are concomitant diseases and may include physical or mental health and may refer to the coexistence of two or more pathologies, which appeared at the same time, or at different times, affecting a system or different systems. Comorbidities have a great effect on the life of patients because the presence of a social disease can lead to an increase in the inability to work, reducing the cost of living, the management of the disease becomes more complex and significantly reduces the productivity of a society. Within the last decade, the group of co-morbidities has become a growing health problem, as well as the leading causes of death on a global level and will continue to challenge healthcare professionals in the upcoming years. While previously individuals had a known chronic pathology, currently people live with more than one chronic pathology, known as comorbidity or multimorbidity. The terms comorbidity and multimorbidity are often used interchangeably to refer to co-occurring conditions, however, they have an important distinction. While both terms state the occurrence of multiple conditions within the same individual, comorbidity refers to one or more additional conditions in reference to an index condition such as comorbidity in diabetes mellitus. In comparison, multimorbidity describes that no one condition is holding priority over any of the co-occurring conditions. Therefore, the complexity of comorbidity and multimorbidity has brought great challenges to the health care system, health care professionals and the person living with them.

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14

Gasparini, Alessandro. "comorbidity: An R package for computing comorbidity scores." Journal of Open Source Software 3, no. 23 (March 29, 2018): 648. http://dx.doi.org/10.21105/joss.00648.

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15

Justiniano, Carla Francesca, Zhaomin Xu, Adan Z. Becerra, Christopher Thomas Aquina, Francis P. Boscoe, Maria J. Schymura, Larissa K. F. Temple, and Fergal J. Fleming. "Comorbidity and cause of death after surgery for early stage colorectal cancer (CRC)." Journal of Clinical Oncology 35, no. 15_suppl (May 20, 2017): e15139-e15139. http://dx.doi.org/10.1200/jco.2017.35.15_suppl.e15139.

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e15139 Background: Early stage (I/II) CRC is traditionally associated with relatively good prognosis at 90% relative survival. The probability of non-cancer death in CRC patients is associated with comorbidity burden; however, there is paucity of data evaluating this association in colon versus rectal cancer. This study examines the impact of comorbdity on 5-year mortality and cause of death after resection for early stage CRC. Methods: Linked patient-level data from the New York State Cancer Registry & Statewide Planning and Research Cooperative System was queried for 2004-2013 patients who underwent colectomy or proctectomy for Stage I-II CRC who survived beyond 30 days. Comorbidity burden was defined as the sum of Elixhauser Comorbidites plus steroid use, MI history, CVD (cardiovascular disease), and dementia to capture maximum number of unique comorbidities and characterized as low (0-1 comorbidity), moderate (2-3 comorbidities), and high (4+ comorbidities). Causes of death were evaluated according to comorbidity group and colon versus rectal cancer. Results: 24,643 (colon 21,384, rectal 3,250) met inclusion criteria, of which 5,464 (22%) died within 5 years. While both colon cancer (CC) and rectal cancer patients (RC) had identical overall mortality (22%), significant differences existed in the proportion of deaths due to the primary cancer with disease-specific mortality of 7% for CC and 11% for RC. Deaths due to CC decreased while CVD causes increased with escalating comorbidity burden. Deaths due to RC accounted for nearly 50% of all deaths even with increasing comorbidity burden (Table). Conclusions: CC is the predominant cause of 5-year mortality in early stage patients with low comorbidity burden while CVD drives mortality in high comorbidity burden patients. In contrast, RC drives early stage mortality regardless of the comorbidity burden; thus, emphasizing the importance of tailored survivorship programs to each cancer. [Table: see text]

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16

Hofrichter, N., S. Dick, E. Tritschler, A. Knobel, A. Heinz, and M. A. Rapp. "Neuropsychological Performance in both Alzheimer’s Disease and Vascular Dementia is Related to Cardiovascular Comorbidity." European Psychiatry 24, S1 (January 2009): 1. http://dx.doi.org/10.1016/s0924-9338(09)70608-x.

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Aims:Vascular pathology has been implicated in the pathogenesis of both Alzheimer's disease and vascular dementia. While performance decrements in vascular dementia are by definition thought to be related to vascular load, performance decrements in Alzheimer's disease have not yet been studied in relationship to cardiovascular comorbidity. The aim of this study was to describe neuropsychological performance in patients with mild Alzheimer's disease and vascular dementia in relationship to cardiovascular comorbidity.Method:39 patients suffering form vascular dementia and 34 patients suffering form Alzheimer's disease underwent neuropsychological testing using an extended neuropsychological battery, including tests of episodic memory, working memory, naming, verbal fluency, executive functions, and language. Cardiovascular comorbidity was assessed form medical history and chart review using the Charlson comorbidity index.Results:Patients suffering form Alzheimer's disease and vascular dementia did not differ in terms of age, education, gender distribution, or dementia severity. Cardiovascular comorbidty was more pronounced in vascular dementia patients. In both Alzheimer's disease and vascular dementia, neuropsychological performance in tests of working memory and executive functioning was related to cardiovascular comorbidity, but the relationship was stronger in vascular dementia.Conclusion:Vascular load affects neuropsychological performance in both Alzheimer's disease and vascular dementia, suggesting that cardiovascular comorbidity affects cognition across both forms of dementia.

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Hofrichter, N., S. Dick, E. Tritschler, A. Knobel, A. Heinz, and M. A. Rapp. "Neuropsychological Performance in Both Alzheimer’s Disease and Vascular Dementia is Related to Cardiovascular Comorbidity." European Psychiatry 24, S1 (January 2009): 1. http://dx.doi.org/10.1016/s0924-9338(09)70724-2.

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Aims:Vascular pathology has been implicated in the pathogenesis of both Alzheimer's disease and vascular dementia. While performance decrements in vascular dementia are by definition thought to be related to vascular load, performance decrements in Alzheimer's disease have not yet been studied in relationship to cardiovascular comorbidity. The aim of this study was to describe neuropsychological performance in patients with mild Alzheimer's disease and vascular dementia in relationship to cardiovascular comorbidity.Method:39 patients suffering form vascular dementia and 34 patients suffering form Alzheimer's disease underwent neuropsychological testing using an extended neuropsychological battery, including tests of episodic memory, working memory, naming, verbal fluency, executive functions, and language. Cardiovascular comorbidity was assessed form medical history and chart review using the Charlson comorbidity index.Results:Patients suffering form Alzheimer's disease and vascular dementia did not differ in terms of age, education, gender distribution, or dementia severity. Cardiovascular comorbidty was more pronounced in vascular dementia patients. In both Alzheimer's disease and vascular dementia, neuropsychological performance in tests of working memory and executive functioning was related to cardiovascular comorbidity, but the relationship was stronger in vascular dementia.Conclusion:Vascular load affects neuropsychological performance in both Alzheimer's disease and vascular dementia, suggesting that cardiovascular comorbidity affects cognition across both forms of dementia.

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18

Takeda, Toshinobu, Paul J. Ambrosini, Rachel deBerardinis, and Josephine Elia. "What can ADHD without comorbidity teach us about comorbidity?" Research in Developmental Disabilities 33, no. 2 (March 2012): 419–25. http://dx.doi.org/10.1016/j.ridd.2011.09.024.

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19

Roy-Byrne, Peter P., Paul Stang, Hans-Ulrich Wittchen, Bedirhan Ustun, Ellen E. Walters, and Ronald C. Kessler. "Lifetime panic–depression comorbidity in the National Comorbidity Survey." British Journal of Psychiatry 176, no. 3 (March 2000): 229–35. http://dx.doi.org/10.1192/bjp.176.3.229.

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BackgroundMost prior studies of panic-depression comorbidity have been limited methodologically by use of small clinical samples and incomplete analyses.AimsGeneral population data were used to study the association of lifetime and recent (12 months) panic–depression comorbidity with symptom severity, impairment, course and help-seeking in the National Comorbidity Survey (NCS).MethodThe NCS is a nationally representative survey of the prevalences and correlates of major DSM–III–R disorders in the US household population.ResultsStrong lifetime and current comorbidity were found between panic and depression. Comorbidity was associated with greater symptom severity, persistence, role impairment, suicidality and help-seeking, with many findings persisting after controlling for additional comorbid diagnoses. Findings did not differ according to which disorder was chronologically primary.ConclusionsBoth lifetime and current panic–depression comorbidity are markers for more severe, persistent and disabling illness. Neither additional comorbid diagnoses nor the primary–secondary distinction were important moderators of these associations.

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20

Kessler, Ronald C., Paul E. Stang, Hans-Ulrich Wittchen, T. Bedirhan Ustun, Peter P. Roy-Burne, and Ellen E. Walters. "Lifetime Panic-Depression Comorbidity in the National Comorbidity Survey." Archives of General Psychiatry 55, no. 9 (September 1, 1998): 801. http://dx.doi.org/10.1001/archpsyc.55.9.801.

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21

Fu, Catherina, Dennis J. Chute, Emad S. Farag, Justine Garakian, Jeffrey L. Cummings, and Harry V. Vinters. "Comorbidity in Dementia." Archives of Pathology & Laboratory Medicine 128, no. 1 (January 1, 2004): 32–38. http://dx.doi.org/10.5858/2004-128-32-cid.

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Abstract Context.—There is a paucity of accurate postmortem data pertinent to comorbid medical conditions in patients with dementia, including Alzheimer disease. Objectives.—The purposes of this study were (a) to examine general autopsy findings in patients with a dementia syndrome and (b) to establish patterns of central nervous system comorbidity in these patients. Design.—Review of autopsy reports and selected case material from 202 demented patients who had “brain-only” autopsies during a 17-year period (1984–2000) and from 52 demented patients who had general autopsies during a 6-year period (1995–2000). Setting.—Large academic medical center performing approximately 200 autopsies per year. Results.—Among the 52 patients who underwent complete autopsy, the most common cause of death was bronchopneumonia, which was found in 24 cases (46.1%). Other respiratory problems included emphysema, found in 19 (36.5%) of 52 patients, and pulmonary thromboembolism, found in 9 (17.3%) of 52 patients. In 6 cases, pulmonary thromboembolism was the proximate cause of death. Twenty-one (40.3%) of the 52 patients had evidence of a myocardial infarct (varying ages) and 38 (73.1%) had atherosclerotic cardiovascular disease, 27 of a moderate to severe degree. Four clinically unsuspected malignancies were found: 1 each of glioblastoma multiforme, diffusely infiltrative central nervous system lymphoma, pancreatic adenocarcinoma, and adenocarcinoma of the lung. One patient with frontotemporal dementia and amyotrophic lateral sclerosis died of severe meningoencephalitis/ventriculitis, probably secondary to seeding of the central nervous system by an infected cardiac valve. Of the 202 demented patients who underwent brain-only autopsies, the following types of dementia were found: 129 (63.8%) cases showed changes of severe Alzheimer disease, 21 (10.4%) showed combined neuropathologic abnormalities (Alzheimer disease plus another type of lesion, such as significant ischemic infarcts or diffuse Lewy body disease), 12 (5.9%) cases of relatively pure ischemic vascular dementia, 13 (6.4%) cases of diffuse Lewy body disease, and 8 (4.0%) cases of frontotemporal dementia. The remaining 19 (9.4%) patients showed miscellaneous neuropathologic diagnoses, including normal pressure hydrocephalus and progressive supranuclear palsy. Among the demented patients, 92 (45.5%) had cerebral atherosclerosis, which was moderate to severe in 65 patients (32.2%). Conclusions.—Some of the conditions found at autopsy, had they been known antemortem, would likely have affected clinical management of the patients. Autopsy findings may be used as a quality-of-care measure in patients who have been hospitalized in chronic care facilities for a neurodegenerative disorder.

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22

Kravchuk, N., N. Svyrydova, T. Parnikosa, V. Sereda, I. Dovgiy, and T. Cherednichenko. "Comorbidity in cardioneurology." East European Journal of Neurology, no. 2(8) (December 20, 2018): 14–19. http://dx.doi.org/10.33444/2411-5797.2016.2(8).14-19.

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The problem of comorbidity in cardioneurology is one of the urgent problems of modern health care system. When comorbidity main cause of death in the vast majority of patients is cardiovascular and cerebrovascular pathology. The most severe form of disease is stroke. Heart failure - a new epidemic of cardiovascular disease, which manifests itself as one of the major risk factors for stroke.

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23

van den Akker, Marjan, Frank Buntinx, and J. André Knottnerus. "Comorbidity or multimorbidity." European Journal of General Practice 2, no. 2 (January 1996): 65–70. http://dx.doi.org/10.3109/13814789609162146.

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24

Hwang, Michael, and Peter F. Buckley. "Comorbidity and Schizophrenia." Psychiatric Annals 48, no. 12 (December 1, 2018): 544–45. http://dx.doi.org/10.3928/00485713-20181107-02.

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25

Мацкевич, С. А., and И. Н. Кожанова. "Comorbidity: Cardiorenal Relationship." Рецепт, no. 4 (September 13, 2022): 337–42. http://dx.doi.org/10.34883/pi.2022.25.4.011.

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Одним из частых проявлений коморбидности является сочетание кардиальной и ренальной патологий. Коморбидность затрудняет диагностику и фармакотерапию заболеваний. Считается, что даже незначительное почечное повреждение ассоциируется с высокой общей и кардиоваскулярной летальностью. В обзоре освещены вопросы взаимосвязи и прогностической роли ренальной и кардиальной патологии. One of the frequent manifestations of comorbidity is a combination of cardiac and renal pathologies. Comorbidity complicates the diagnosis and pharmacotherapy of diseases. Even minor kidney damage is associated with high overall and cardiovascular mortality. The review highlights the relationship and prognostic role of renal and cardiac pathology.

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26

Markowitz, John C. "Comorbidity of Dysthymia." Psychiatric Annals 23, no. 11 (November 1, 1993): 617–24. http://dx.doi.org/10.3928/0048-5713-19931101-08.

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27

Lazebnik, L. B., and S. V. Turkina. "NAFLD Associated Comorbidity." Experimental and Clinical Gastroenterology, no. 10 (December 23, 2021): 5–13. http://dx.doi.org/10.31146/1682-8658-ecg-194-10-5-13.

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Non-alcoholic fatty liver disease (NAFLD) is considered not only as a disease with poor hepatic prognosis. The problem has acquired a multidisciplinary problem. The variety of concomitant diseases and pathological conditions are united by common pathophysiological mechanisms.This review summarizes and presents the data available in the modern literature on the association of NAFLD with cardiovascular diseases, type 2 diabetes mellitus, polycystic ovary syndrome, chronic kidney disease, etc. The role of the liver in the homeostasis of the organism and the pathogenetic mechanisms of the formation of NAFLD-associated comorbidity are discussed.

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28

Tachibana, Hisao. "Comorbidity in migraine." Rinsho Shinkeigaku 62, no. 2 (2022): 105–11. http://dx.doi.org/10.5692/clinicalneurol.cn-001698.

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Zhugrova, Zhugrova E. S., and Mazurov V. I. Mazurov. "Osteoporosis and comorbidity." Therapy 10_2022 (January 17, 2022): 127–31. http://dx.doi.org/10.18565/therapy.2021.10.127-131.

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30

Jepsen, Peter. "Comorbidity in cirrhosis." World Journal of Gastroenterology 20, no. 23 (2014): 7223. http://dx.doi.org/10.3748/wjg.v20.i23.7223.

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31

Kupfer, D. J., and E. Frank. "Comorbidity in depression." Acta Psychiatrica Scandinavica 108 (September 4, 2003): 57–60. http://dx.doi.org/10.1034/j.1600-0447.108.s418.12.x.

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32

O'Brien, John T. "Depression and Comorbidity." American Journal of Geriatric Psychiatry 14, no. 3 (March 2006): 187–90. http://dx.doi.org/10.1097/01.jgp.0000205769.43171.c0.

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33

Meehl, Paul E. "Comorbidity and Taxometrics." Clinical Psychology: Science and Practice 8, no. 4 (May 11, 2006): 507–19. http://dx.doi.org/10.1093/clipsy.8.4.507.

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34

Brooke, Deborah. "Epidemiology and comorbidity." Current Opinion in Psychiatry 13, no. 6 (November 2000): 553–56. http://dx.doi.org/10.1097/00001504-200011000-00014.

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35

Galletly, Cherrie. "Borderline-Dissociation Comorbidity." American Journal of Psychiatry 154, no. 11 (November 1997): 1629—a—1629. http://dx.doi.org/10.1176/ajp.154.11.1629-a.

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Scher, Ann I., Marcelo E. Bigal, and Richard B. Lipton. "Comorbidity of migraine." Current Opinion in Neurology 18, no. 3 (June 2005): 305–10. http://dx.doi.org/10.1097/01.wco.0000169750.52406.a2.

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37

Passalacqua, Giovanni, Laura Guerra, Marco Licenziato, and Giorgio Canonica. "Asthma – Rhinitis Comorbidity." Allergy & Clinical Immunology International - Journal of the World Allergy Organization 15, no. 03 (2003): 105–9. http://dx.doi.org/10.1027/0838-1925.15.3.105.

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38

Fuchs, W. J. "Treatment of comorbidity." European Neuropsychopharmacology 8 (November 1998): S72. http://dx.doi.org/10.1016/s0924-977x(98)80033-3.

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Perugi, Giulio, Cristina Toni, and Hagop S. Akiskal. "ANXIOUS–BIPOLAR COMORBIDITY." Psychiatric Clinics of North America 22, no. 3 (September 1999): 565–83. http://dx.doi.org/10.1016/s0193-953x(05)70096-4.

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Andreyev, J. "SP-0117: Comorbidity." Radiotherapy and Oncology 106 (March 2013): S44. http://dx.doi.org/10.1016/s0167-8140(15)32423-3.

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41

Van Praag, H. M. "Comorbidity (Psycho) Analysed." British Journal of Psychiatry 168, S30 (June 1996): 129–34. http://dx.doi.org/10.1192/s0007125000298516.

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Many psychiatric patients seem to suffer from a multitude of psychiatric disorders. The term comorbidity' was introduced to characterise that situation. This term, however, is multi-interpretable and thus conceals more than it clarifies. Five interpretations of the concept of comorbidity are discussed, in conjunction with the consequences their validity would have for psychiatric research, in particular for the biological branch. If the term comorbidity continues to be used without further qualification, it will slow down the process of conceptualisation of novel research strategies in experimental psychiatry, which is so urgently needed.

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Tietjen, Gretchen E., Nabeel A. Herial, Jacqueline Hardgrove, Christine Utley, and Leah White. "Migraine Comorbidity Constellations." Headache: The Journal of Head and Face Pain 47, no. 6 (June 2007): 857–65. http://dx.doi.org/10.1111/j.1526-4610.2007.00814.x.

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43

Peatfield, Richard C. "Comorbidity in migraine." Cephalalgia 32, no. 6 (March 9, 2012): 512. http://dx.doi.org/10.1177/0333102412438974.

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44

Chinchilla, A., M. Vega, A. Cebollada, T. Alvarez, M. Gómez, F. Pando, C. Erausquin, R. Martinez de Velasco, and D. De La Vega. "Comorbidity in Schizophrenia." European Psychiatry 24, S1 (January 2009): 1. http://dx.doi.org/10.1016/s0924-9338(09)71446-4.

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Introduction:The coexistence of comorbidity in schizophrenia (somatic, dual pathology, personality…) can conditionate evolution and prognosis in this severe mental illness, those aspects should be taken in account to planify treatments and follow up issues.Objective:We are interested in this work in evaluate previous and developed comorbidity in schizophrenic patients; we also analyzed comorbidity consequences in clinical, therapeutical management, treatment adherence, relapses and hospitalizations.Material and method:In 50 Schizophrenic patients (DSM-IV TR Diagnostic criteria) with at least one previous psychotic episode we have studied longitudinal and transversally sociodemographic, clinical and therapeutical variables, related comorbidity (somatic, drugs related and dual pathology) and evolution, prognosis, clinical, treatment adherence and tolerance variables were also studied. We also evaluate psychopathologic and medical status (EEG, EKG, Chest RX, BMI, body weight, general analysis) secondary effects were registered. Uxue and CGI were the scales used.Results:Between 20% and 25% had other medical conditions, and 25-30% had some kind of drug abuse, those were who had worse prognosis, more secondary effects and usually were treated with classic antipsychotics.Conclusions:The results are discussed, and we propose integrative treatments for schizophrenia and the co morbidities, focusing on affectivity and tolerance.

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Baldacchino, A., and I. Crome. "Comorbidity and Comortality." European Psychiatry 24, S1 (January 2009): 1. http://dx.doi.org/10.1016/s0924-9338(09)70262-7.

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Aims:To analyse the nature and extent of data extracted from case files of deceased individuals in contact with health, social care and criminal justice services six months prior to their drug deaths in Scotland during 2003.Methods:A cross-sectional descriptive analysis of 317 case notes of 237 individuals who had drug related deaths, using a data linkage process, was undertaken. All contacts made with services in the six months prior to death were identified. Information on clinical and social circumstances obtained from case records of social care services, specialist drug treatment, mental health and non-statutory services and the Scottish Prison Service and Criminal Records Office were collated using the Centre for Addiction Research and Education Scotland (CARES) Clinical and Social Circumstances Data Collection Form.Findings:More than 50% (n=237) were seen six months prior to their drug death. Sociodemographic details were reported much more frequently than medical problems. While there was information available on ethnicity (49%), living accommodation (66%), education and income (52%), and dependent children (73%), medical and psychiatric history was recorded in only 12%, blood-borne viral status in 17%, and life events in 26%. This paucity of information was also a feature of the treatment plans and progress recorded for these individuals.Conclusions:The 237 drug deaths were not a population unknown to services. Highly relevant data about the six-month period prior to death were missing. Improved training to promote in-depth recording, and effective monitoring may result in better understanding and reduction of drug deaths.

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Di Libero, F., M. Fargnoli, S. Pittiglio, M. Mascio, and S. Giaquinto. "Comorbidity and rehabilitation." Archives of Gerontology and Geriatrics 32, no. 1 (February 2001): 15–22. http://dx.doi.org/10.1016/s0167-4943(00)00089-3.

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Negueruela Lopez, M., R. Navarro Jimenez, D. Zambrano-Enriquez Gandolfo, E. Fernando Di Stasio, M. Martinez Vigo, I. Basurte Villamor, F. J. Quintero Gutierrez del Alamo, J. Sevilla Vicente, J. L. Gonzalez de Rivera, and E. Baca Garcia. "Comorbidity in schizophrenia." European Psychiatry 23 (April 2008): S133. http://dx.doi.org/10.1016/j.eurpsy.2008.01.845.

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Tyrer, Peter. "Comorbidity or consanguinity." British Journal of Psychiatry 168, no. 6 (June 1996): 669–71. http://dx.doi.org/10.1192/bjp.168.6.669.

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Carter, Mathew, Colleen Fisher, and Mohan Isaac. "Recovery From Comorbidity." SAGE Open 3, no. 4 (November 2013): 215824401351213. http://dx.doi.org/10.1177/2158244013512133.

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Neville, Brian, and Christopher Gillberg. "Comorbidity of Epilepsy." Epilepsia 46, no. 8 (August 2005): 1334–35. http://dx.doi.org/10.1111/j.1528-1167.2005.18505_4.x.

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