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1

St. John, Philip D. "Dissemination of Coronary Care Units Versus Geriatric Units." American Journal of Medicine 131, no. 3 (March 2018): e111. http://dx.doi.org/10.1016/j.amjmed.2017.09.018.

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2

Julian, D. G. "The history of coronary care units." Heart 57, no. 6 (June 1, 1987): 497–502. http://dx.doi.org/10.1136/hrt.57.6.497.

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3

Fuster, Valentin. "Myocardial infarction and coronary care units." Journal of the American College of Cardiology 35, no. 5 (April 2000): 49B—51B. http://dx.doi.org/10.1016/s0735-1097(00)80051-0.

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4

FUSTER, V. "Myocardial infarction and coronary care units." Journal of the American College of Cardiology 35, no. 5 (April 2000): 49B—51B. http://dx.doi.org/10.1016/s0735-1097(00)80073-x.

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FUSTER, V. "Myocardial infarction and coronary care units." Journal of the American College of Cardiology 35, no. 5 (April 2000): 49–51. http://dx.doi.org/10.1016/s0735-1097(00)90025-1.

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Fuster, Valentin. "Myocardial infarction and coronary care units." Journal of the American College of Cardiology 34, no. 7 (December 1999): 1851–53. http://dx.doi.org/10.1016/s0735-1097(99)00496-9.

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7

Callan, Elizabeth, and Martin Irving. "Mobile coronary care units: the Dundee experience." Intensive Care Nursing 1, no. 3 (January 1986): 119–22. http://dx.doi.org/10.1016/0266-612x(86)90088-x.

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8

McNaughton, G. W., J. P. Wyatt, and J. C. Byrne. "Defibrillation — A Burning Issue in Coronary Care Units!" Scottish Medical Journal 41, no. 2 (April 1996): 47–48. http://dx.doi.org/10.1177/003693309604100205.

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Skin burns are accepted to be a complication of defibrillation, however there is no published data on their frequency, cause and treatment. A postal questionnaire survey was designed to assess the relative frequency of defibrillation burns in coronary care units and identify the possible factors contributing to their occurrence. Treatments prescribed in coronary care units were also noted. The questionnaire was sent to the Senior Sister/Charge Nurse in all 263 coronary care units in the United Kingdom. 232 Replies were received (88.2%). Defibrillation burns were seen in 98.7% of CCU's. Ten contributory factors were proposed. The commonest implicated cause was recurrent defibrillation. The most frequently prescribed topical treatment was 1% silver sulphadiazine cream (Flamazine). Defibrillation burns are relatively common in coronary care units. Many result from recurrent defibrillation and may be unavoidable in the patient undergoing prolonged resuscitation. However there are other identifiable factors which, if avoided, may lead to a reduction in the number of burns seen.
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9

McLeod, Andrew A., and Percy P. Jokhi. "Pacemaker induced ventricular fibrillation in coronary care units." BMJ 328, no. 7450 (May 20, 2004): 1249–50. http://dx.doi.org/10.1136/bmj.328.7450.1249.

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10

Grijseels, E. W. M., J. W. Deckers, A. W. Hoes, J. A. M. Hartman, E. van der Does, and M. L. Simoons. "Optimal use of coronary care units: A review." Progress in Cardiovascular Diseases 37, no. 6 (May 1995): 415–21. http://dx.doi.org/10.1016/s0033-0620(05)80021-0.

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11

Field, David. "Communication with dying patients in coronary care units." Intensive and Critical Care Nursing 8, no. 1 (March 1992): 24–32. http://dx.doi.org/10.1016/0964-3397(92)90006-6.

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12

Fairburn, Karen. "Nurses' attitudes to visiting in coronary care units." Intensive and Critical Care Nursing 10, no. 3 (September 1994): 224–33. http://dx.doi.org/10.1016/0964-3397(94)90025-6.

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13

Le May, Michel, Sean van Diepen, Mark Liszkowski, Gregory Schnell, Jean-François Tanguay, Christopher B. Granger, Craig Ainsworth, et al. "From Coronary Care Units to Cardiac Intensive Care Units: Recommendations for Organizational, Staffing, and Educational Transformation." Canadian Journal of Cardiology 32, no. 10 (October 2016): 1204–13. http://dx.doi.org/10.1016/j.cjca.2015.11.021.

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14

Pazin-Filho, Antônio, Otávio Rizzi Coelho, and André Schmidt. "Common Goals to Face Crisis at Coronary Care Units." Arquivos Brasileiros de Cardiologia 100, no. 2 (2013): e27-e29. http://dx.doi.org/10.5935/abc.20130040.

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15

Richards, MichaelJ, JonathanR Edwards, DavidH Culver, and RobertP Gaynes. "Nosocomial infections in coronary care units in the United States." American Journal of Cardiology 82, no. 6 (September 1998): 789–93. http://dx.doi.org/10.1016/s0002-9149(98)00450-0.

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16

Wharton, Frank. "On the risk of premature transfer from coronary care units." Omega 24, no. 4 (August 1996): 413–23. http://dx.doi.org/10.1016/0305-0483(96)00014-x.

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17

Alonso, Joaquín J., Ginés Sanz, Josep Guindo, Xavier García-Moll, Alfredo Bardají, and Héctor Bueno. "Intermediate Coronary Care Units: Rationale, Infrastructure, Equipment, and Referral Criteria." Revista Española de Cardiología (English Edition) 60, no. 4 (January 2007): 404–14. http://dx.doi.org/10.1016/s1885-5857(07)60173-x.

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18

Steffenino, Giuseppe, Alessandra Chinaglia, Patrizia Noussan, Mauro Alciati, Sergio Bongioanni, Cristina Rolfo, Pier Luigi Soldà, Roberto Gnavi, Roberta Picariello, and Anna Orlando. "Care of acute myocardial infarction in the coronary care units of Piedmont in 2007." Journal of Cardiovascular Medicine 14, no. 5 (May 2013): 354–63. http://dx.doi.org/10.2459/jcm.0b013e32835422f8.

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19

van Diepen, Sean, Meng Lin, Jeffrey A. Bakal, Finlay A. McAlister, Padma Kaul, Jason N. Katz, Christopher B. Fordyce, et al. "Do stable non–ST-segment elevation acute coronary syndromes require admission to coronary care units?" American Heart Journal 175 (May 2016): 184–92. http://dx.doi.org/10.1016/j.ahj.2015.11.020.

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20

Oshvandi, Khodayar. "Massage Therapy and Vital Signs of Patients in Coronary Care Units." Nursing and Midwifery Studies 1, no. 2 (December 20, 2012): 111–2. http://dx.doi.org/10.5812/nms.8587.

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21

SedighGharehUneh, Z., T. Ashktorab, S. ZohariAnboohi, and M. Rahimzadeh. "Comparing Patients´ Sleep Quality and Nurses´ Documentations in Coronary Care Units." Iran Journal of Nursing 30, no. 105 (April 1, 2017): 1–10. http://dx.doi.org/10.29252/ijn.30.105.1.

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22

Yang, Rui, Tao Huang, Zichen Wang, Wei Huang, Aozi Feng, Li Li, and Jun Lyu. "Deep-Learning-Based Survival Prediction of Patients in Coronary Care Units." Computational and Mathematical Methods in Medicine 2021 (December 24, 2021): 1–10. http://dx.doi.org/10.1155/2021/5745304.

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Background. A survival prediction model based on deep learning has higher accuracy than the CPH model in predicting the survival of CCU patients, and it also has a better discrimination ability. We collected information on patients with various diseases in coronary care units (CCUs) from the Medical Information Mart for Intensive Care III (MIMIC-III) database. The purpose of this study was to use this information to construct a neural-network model based on deep learning to predict the survival probabilities of patients with conditions that are common in CCUs. Method. We collected information on patients in the United States with five common diseases in CCUs from 2001 to 2012. We randomly divided the patients into a training cohort and a testing cohort at a ratio of 7 : 3 and applied a survival prediction method based on deep learning to predict their survival probability. We compared our model with the Cox proportional-hazards regression (CPH) model and used the concordance indexes (C-indexes), receiver operating characteristic (ROC) curve, and calibration plots to evaluate the predictive performance of the model. Results. The 3,388 CCU patients included in the study were randomly divided into 2,371 in the training cohort and 1,017 in the testing cohort. The stepwise regression results showed that the important factors affecting patient survival were the type of disease, age, race, anion gap, glucose, neutrophils, white blood cells, potassium, creatine kinase, and blood urea nitrogen ( P < 0.05 ). We used the training cohort to construct a deep-learning model, for which the C-index was 0.833, or about 5% higher than that for the CPH model (0.786). The C-index of the deep-learning model for the test cohort was 0.822, which was also higher than that for the CPH model (0.782). The areas under the ROC curve for the 28-day, 90-day, and 1-year survival probabilities were 0.875, 0.865, and 0.874, respectively, in the deep-learning model, respectively, and 0.830, 0.843, and 0.806 in the CPH model. These values indicate that the survival analysis model based on deep learning is better than the traditional CPH model in predicting the survival of CCU patients. Conclusion. A survival prediction model based on deep learning has higher accuracy than the CPH model in predicting the survival of CCU patients, and it also has a better discrimination ability.
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23

Driscoll, Andrea. "Coronary care units continue to be effective at improving patient outcomes." Australian Critical Care 25, no. 2 (May 2012): 143–46. http://dx.doi.org/10.1016/j.aucc.2011.11.001.

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24

Saitto, Carlo, Carla Ancona, Danilo Fusco, Massimo Arcà, and Carlo A. Perucci. "Outcome of Patients With Cardiac Diseases Admitted to Coronary Care Units." Medical Care 42, no. 2 (February 2004): 147–54. http://dx.doi.org/10.1097/01.mlr.0000109456.26657.3a.

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25

Jowett, N. I., J. M. Stephens, D. R. Thompson, and T. W. Sutton. "Do indwelling cannulae on coronary care units need a heparin flush?" Intensive Care Nursing 2, no. 1 (January 1986): 16–19. http://dx.doi.org/10.1016/0266-612x(86)90070-2.

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26

Ozer, Serap, and Adile Ay. "Infection Control in Coronary Intensive Care Units: What Should I Know?" Journal of Cardiovascular Nursing 13, no. 32 (December 22, 2022): 125–29. http://dx.doi.org/10.5543/khd.2022.214380.

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27

Valente, Serafina, Chiara Lazzeri, Andrea Sori, Cristina Giglioli, Pasquale Bernardo, and Gian Franco Gensini. "The recent evolution of coronary care units into intensive cardiac care units: the experience of a tertiary center in Florence." Journal of Cardiovascular Medicine 8, no. 3 (March 2007): 181–87. http://dx.doi.org/10.2459/jcm.0b013e32801261e3.

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28

Morra, S., F. Bughin, K. Solecki, M. Aboubadra, B. Lattuca, F. Gouzi, J. C. Macia, et al. "Prevalence of obstructive sleep apnoea in acute coronary syndrome: Routine screening in intensive coronary care units." Annales de Cardiologie et d'Angéiologie 66, no. 4 (September 2017): 223–29. http://dx.doi.org/10.1016/j.ancard.2017.04.018.

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29

Fisher, P., and D. Protti. "Health Informatics at the University of Victoria." Yearbook of Medical Informatics 05, no. 01 (August 1996): 135–39. http://dx.doi.org/10.1055/s-0038-1638056.

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AbstractThe University of Victoria has the only program in Canada offering a Bachelor of Science degree in Health Information Science. To meet the requirements of the degree, students must complete 60 units of course work (normally 40 courses) and 4 CO-OP work terms over 4.3 years. The School admits approximately 30 students each year. Seventy-five percent of the students come from British Columbia, ranging in age from 18 to 50 years with the average age being 26 years. In addition to recent high school graduates, over 40% have previous degrees or diplomas, and 65% have over 5 years of work experience. The School’s teaching team consists of 4 full-time faculty, 2 professional staff, 2 clerical staff, 7 adjunct faculty and a variable number of sessional teaching staff. The majority of the faculty have health backgrounds, totalling 150 person-years of health care experience. As of November 1995, the School had 168 graduates 75% of whom are employed in British Columbia, 17% in other parts of Canada and 8% outside the country. Sixty-five percent of the graduates work in government departments including community health agencies; 10% work in hospitals, 20% work for management consulting firms, software houses, or computer hardware firms, and 5% are otherwise employed. Almost 100% of the graduates are gainfully employed in professional positions in which their health information science degree is valued. They work as systems analysts, system designers/developers, consultants, research assistants, health-care planners, information system-support staff/trainers and client-account representatives. Some are already in senior management positions.
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30

Ripley, D. P., S. J. Riley, J. S. Shome, M. A. Awan, M. C. McCloskey, J. J. Murphy, and M. A. de Belder. "Oxygen use for chest pain in coronary care units across the UK." QJM 105, no. 9 (June 7, 2012): 855–60. http://dx.doi.org/10.1093/qjmed/hcs098.

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31

Andersson-Segesten, Kerstin. "Patients' Experience of Uncertainty in Illness in Two Intensive Coronary Care Units." Scandinavian Journal of Caring Sciences 5, no. 1 (March 1991): 43–48. http://dx.doi.org/10.1111/j.1471-6712.1991.tb00080.x.

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32

Matsushima, Eisuke, Kazunori Nakajima, Hirobumi Moriya, Masato Matsuura, Takeshi Motomiya, and Takuya Kojima. "A psychophysiological study of the development of delirium in coronary care units." Biological Psychiatry 41, no. 12 (June 1997): 1211–17. http://dx.doi.org/10.1016/s0006-3223(96)00219-3.

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33

Chen, Yee-Chun, Mao-Yuan Chen, Chun-Yi Lu, Hsin-Hsin Chang, Chien-Ching Hung, Mei-Yu Chen, and Mei-Ling Chen. "Cluster of Parvovirus Infection Among Hospital Staff Working in Coronary Care Units." Journal of the Formosan Medical Association 109, no. 12 (December 2010): 886–94. http://dx.doi.org/10.1016/s0929-6646(10)60135-0.

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34

Bakalis, N., G. S. Bowman, and D. Porock. "Decision making in Greek and English registered nurses in coronary care units." International Journal of Nursing Studies 40, no. 7 (September 2003): 749–60. http://dx.doi.org/10.1016/s0020-7489(03)00014-2.

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35

Vijayachandra Reddy, Y. "Acute Coronary Syndrome (ACS) in medical intensive care units: A different entity." Indian Heart Journal 67 (December 2015): S45—S46. http://dx.doi.org/10.1016/j.ihj.2015.10.110.

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36

Patton, JA, and M. Funk. "Survey of use of ST-segment monitoring in patients with acute coronary syndromes." American Journal of Critical Care 10, no. 1 (January 1, 2001): 23–32. http://dx.doi.org/10.4037/ajcc2001.10.1.23.

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BACKGROUND: Although effective for assessing ongoing myocardial ischemia, ST-segment monitoring may be underused. OBJECTIVES: To determine the proportion of cardiac units in the United States that use ST-segment monitoring, hospital and unit characteristics associated with its use, how units use such monitoring with respect to research recommendations, if units that use ST-segment monitoring find it clinically useful and easy to use, and why some units are not using this type of monitoring. METHODS: A survey on ST-segment monitoring was mailed to a random sample of 500 cardiac nurse managers and clinical nurse specialists. RESULTS: Of the final 192 respondents, 104 (54.2%) reported that they were using ST-segment monitoring. Monitor brand was the only characteristic associated with use of this monitoring (P = .03). On units that used ST-segment monitoring, patients were monitored if they had myocardial infarction (81%), unstable angina (79.6%), or possible myocardial infarction (78.6%) and after percutaneous transluminal coronary angioplasty (47.6%). Leads were chosen according to unit protocol (60.2%) and 12-lead electrocardiographic findings (48.5%); leads II (95.0%) and V1 (75.2%) were used most often. The majority of units that use ST-segment monitoring agreed that it is clinically useful (83%) and easy to use (56%). Among the units not using ST-segment monitoring, the most common reason was that physicians were not interested (27.1%). CONCLUSIONS: ST-segment monitoring is not routinely used; when it is, research recommendations are often not followed. Increased awareness is needed among cardiac nurses and physicians of the clinical usefulness and proper use of ST-segment monitoring.
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37

Schenone, AL, K. Chen, K. Andress, M. Militello, and L. Cho. "Editor’s Choice- Sedation in the coronary intensive care unit: An adapted algorithm for critically ill cardiovascular patient." European Heart Journal: Acute Cardiovascular Care 8, no. 2 (February 2, 2018): 167–75. http://dx.doi.org/10.1177/2048872617753797.

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In the current era, cardiovascular intensive care units care for more complex patients who are far sicker than historical post-myocardial infarction patients, and sedation has become a common intervention in these units. Current sedation best practices derive mainly from non-cardiac units which limits their generalization to the critically ill cardiac patient. Thus, a great variability in sedation protocols, especially the selection of sedative agents, is commonly seen in daily practice across cardiac units. We present an updated review on sedation in cardiovascular critical care medicine with emphasis on the hemodynamic impact. The goal of this review is to generate a general sedation algorithm specific for the cardiac patient.
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38

Levelt, Eylem, Barnaby Thwaites, and Ghasem Yadegarfar. "Integrated Care Pathway for Acute Coronary Syndromes: Does It Help?" Journal of integrated Care Pathways 12, no. 1 (April 2008): 5–9. http://dx.doi.org/10.1258/jicp.2008.008001.

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The use of integrated care pathways (ICPs) to enhance quality and consistency of patient care has increased in the last decade. In two closely related studies, we first assessed the benefit of a new ICP for acute coronary syndrome in our district hospital, and secondly assessed the impact of ICPs in UK coronary care units, correlating with data from the Myocardial Infarction National Audit Programme, MINAP. The new local ICP produced statistically improved admission medication, with the chance of correctly prescribing aspirin increasing by 63% ( P < 0.002), and borderline increase for clopidogrel of 28% ( P > 0.10), and enoxaparin of 21% ( P > 0.06), in a completed audit cycle study totalling 100 patients. A national telephone survey showed that of 210 UK coronary care units, only 40% had an ICP in place, and this made no difference to either door-to-needle time for thrombolysis or to rates of discharge medication with aspirin, beta-blockers or statins. While these results fail to raise enthusiasm for implementing an ICP, other potential benefits of their use may be important such as optimizing data collection, improving consistency of care and unifying the different clinical teams in planning the care of the patient.
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39

Abu-El-Noor, Mysoon Khalil, and Nasser Ibrahim Abu-El-Noor. "Importance of Spiritual Care for Cardiac Patients Admitted to Coronary Care Units in the Gaza Strip." Journal of Holistic Nursing 32, no. 2 (September 17, 2013): 104–15. http://dx.doi.org/10.1177/0898010113503905.

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40

Kinzinger, Rhonda G. "Death anxiety among myocardial infarction clients in coronary care versus general medical units." Critical Care Nursing Quarterly 15, no. 3 (November 1992): 75–79. http://dx.doi.org/10.1097/00002727-199211000-00013.

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41

Casella, Gianni, Giampaolo Scorcu, Matteo Cassin, Francesco Chiarella, Alessandra Chinaglia, Maria R. Conte, Giuseppe Fradella, Donata Lucci, Aldo P. Maggioni, and Luigi O. Visconti. "Elderly patients with acute coronary syndromes admitted to Italian intensive cardiac care units." Journal of Cardiovascular Medicine 13, no. 3 (March 2012): 165–74. http://dx.doi.org/10.2459/jcm.0b013e3283515be3.

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42

Timmins, Fiona. "Conceptual Models Used by Nurses Working in Coronary Care Units—A Discussion Paper." European Journal of Cardiovascular Nursing 5, no. 4 (December 2006): 253–57. http://dx.doi.org/10.1016/j.ejcnurse.2006.02.004.

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43

Yin-Cheung Tsang, Michael, Carolyn Taylor, Jennifer Rajala, Kevin Ong, Graham Wong, Annie Chou, Perminder S. Bains, Christopher Fordyce, Del Dorscheid, and Krishnan Ramanathan. "THE CURRENT PRACTICE OF BLOOD TRANSFUSION IN CORONARY CARE UNITS: A REGISTRY STUDY." Journal of the American College of Cardiology 61, no. 10 (March 2013): E1546. http://dx.doi.org/10.1016/s0735-1097(13)61546-6.

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44

Gazin, Nicolas, Jean Sende, Sophie Schvahn, Louise Nguyen, Hon-Lai Chan, Martin Rusan, Xavier Combes, Alain Margenet, and Jean Marty. "342 French national survey on the hyperglycemia management in acute coronary syndrome, comparison between coronary care units and out-of-hospital mobile emergency units practices." Archives of Cardiovascular Diseases Supplements 2, no. 1 (January 2010): 113. http://dx.doi.org/10.1016/s1878-6480(10)70344-x.

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45

Radford, Mark. "Post Anaesthesia Care for the Obstetrics Patient." British Journal of Anaesthetic and Recovery Nursing 2, no. 2 (May 2001): 3. http://dx.doi.org/10.1017/s174264560000053x.

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In many ways anaesthesia has become a victim of its own success. In the eyes of many, both clinicians and patients alike, anaesthesia has become safe and predictable. The demands placed upon anaesthesia services in the hospitals is increasing. Anaesthesia provision has diversified into many fields, and the input of the anaesthesia team is noticeable in many areas of the hospital including A&E, wards, radiology and Coronary care units.
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Kamali, Seyyedeh Halimeh, Masoomeh Imanipour, Hormat Sadat Emamzadeh Ghasemi, and Zahra Razaghi. "Effect of Programmed Family Presence in Coronary Care Units on Patients’ and Families’ Anxiety." Journal of Caring Sciences 9, no. 2 (June 1, 2020): 104–12. http://dx.doi.org/10.34172/jcs.2020.016.

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Introduction: Hospitalization of patients in the intensive care units always has negative consequences such as anxiety and concern for patients and their families. This study aimed to investigate the effect of programmed family presence in intensive care units on patients’ and families’ anxiety. Methods: This was a quasi-experimental study conducted in Iran. The eligible patients and a member of their families were assigned into two groups (N = 80) through convenience sampling. The family members in the experimental group were allowed to attend twice a day for 15 minutes in a planned way beside the patient and contribute to their clinical primary care. In the control group, the family members had a strict limitation to visit their patients based on the usual policy. Anxiety in both groups at the beginning and on the third day of patient’s admission was measured, using Spielberger’s questionnaire. The data were analyzed with SPSS version13. Results: The mean score of anxiety in the control group did not show significant difference in patients and in families, however it had decreased significantly in the experimental group after the intervention for both patients and families. The results showed that mean differences between the two groups was statistically significant in patients and families. Conclusion: The planned presence of the family of patients in coronary care unit (CCU) played a crucial role in reducing the anxiety of patients and their family. Furthermore, it is recommended that strategies of visiting policy in intensive care units (ICUs) should be revised and the possibility be provided for the families’ planned presence and participation in the patient care.
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Chang, Chih-Hsiang, Chia-Hung Yang, Huang-Yu Yang, Tien-Hsing Chen, Chan-Yu Lin, Su-Wei Chang, Yi-Ting Chen, et al. "Urinary Biomarkers Improve the Diagnosis of Intrinsic Acute Kidney Injury in Coronary Care Units." Medicine 94, no. 40 (October 2015): e1703. http://dx.doi.org/10.1097/md.0000000000001703.

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48

Tan, Kok-Swang, Wayne Tymchak, Irwin Hinberg, and Richard F. Davies. "Use of wireless local area network systems in coronary care units in Canadian hospitals." Journal of the American College of Cardiology 39 (March 2002): 450. http://dx.doi.org/10.1016/s0735-1097(02)82020-4.

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49

Baghaie Lakeh, Maryam, Mojgan Baghaie Lakeh, Tahereh Khaleghdoost Mohammad, and Ehsan Kazem Nezhad Leyli. "The Effect of Use of Earplugs on Sleep Quality in Coronary Care Units Patients." Journal of Holistic Nursing and Midwifery 28, no. 2 (March 1, 2018): 93–100. http://dx.doi.org/10.29252/hnmj.28.2.93.

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50

Schulte, DA, LO Burrell, SH Gueldner, MH Bramlett, B. Fuszard, SK Stone, and WN Dudley. "Pilot study of the relationship between heart rate and ectopy and unrestricted vs restricted visiting hours in the coronary care unit." American Journal of Critical Care 2, no. 2 (March 1, 1993): 134–36. http://dx.doi.org/10.4037/ajcc1993.2.2.134.

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OBJECTIVE: To determine the relationship between cardiac performance (as measured by heart rate and ectopy) and unrestricted vs restricted visiting hours in the coronary care unit. DESIGN: Patients were from two coronary care units. Group A had unrestricted visiting hours, and group B had restricted visiting hours. Heart rate and ectopy were measured three times both in patients with unrestricted visiting hours and in those with restricted visiting hours: (1) before visitors arrived, (2) 5 minutes after visitors arrived and (3) 1 to 5 minutes after the visitors left. A total of 25 visits were analyzed. FINDINGS: There were no significant differences in rates of premature ventricular contractions and premature atrial contractions between the two groups. Patients with unrestricted visiting hours had a significantly lower heart rate after visits than patients with restricted visits. CONCLUSION: Consideration should be given to development of unrestricted visiting policies that promote the continuing presence and natural support of the family and significant others for patients in coronary care units.
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