Hostname: page-component-586b7cd67f-dsjbd Total loading time: 0 Render date: 2024-11-24T15:33:23.939Z Has data issue: false hasContentIssue false

Profile of Patients Hospitalized through the Emergency Room to the Medicine Ward and their Short-term Outcome at a Tertiary Care Hospital in Delhi

Published online by Cambridge University Press:  05 November 2015

Rahul Choudhary
Affiliation:
Department of Medicine, University College of Medical Sciences, University of Delhi, New Delhi, India
Ashish Goel*
Affiliation:
Department of Medicine, University College of Medical Sciences, University of Delhi, New Delhi, India
Sonal Pruthi
Affiliation:
Department of Medicine, University College of Medical Sciences, University of Delhi, New Delhi, India
Sarathi Kalra
Affiliation:
Neurosurgery, University College of Medical Sciences, University of Delhi, New Delhi, India Oncology, MD Anderson Cancer Center, Houston, Texas USA
Sunil Agarwal
Affiliation:
Department of Medicine, University College of Medical Sciences, University of Delhi, New Delhi, India
Om Prakash Kalra
Affiliation:
Department of Medicine, University College of Medical Sciences, University of Delhi, New Delhi, India
*
Correspondence: Ashish Goel, Department of Medicine, University College of Medical Sciences, University of Delhi, C2/403, Janakpuri, Delhi-110058, India. E-mail: [email protected]

Abstract

Introduction

With an increasing number of sicker patients, limited hospital beds, and an emphasis on day care, the profile of patients hospitalized to medicine wards has undergone a radical re-definition. The increasing share of patients hospitalized through the emergency department for acute care to medicine wards has left little space for hospitalization through the outpatient department (OPD). There are some global data available on the profile of patients presenting to the emergency rooms (ERs) and their subsequent outcome. Data from developing countries, especially India, in this regard are lacking.

Methods

This cross-sectional study included all patients hospitalized to the medicine ward through the medical emergency services, provided by the Department of Medicine, each Wednesday and every sixth Sunday for the entire year (a total of 62 days), from November 2010 through October 2011, and followed their outcome up to seven days after hospitalization.

Results

Of the 3,618 cases presenting to medicine emergency on these days, 1,547 (42.3%) were advised admission. Nine hundred sixty-seven reported to the medicine wards. One hundred eleven (7.73%) expired within 24 hours; others absconded, were lost in transit, did not consent to participation, or were discharged. During the next seven days, 452 (46.7%) recovered sufficiently and were discharged to go home. Two hundred thirty (23.8%) left the hospital without informing the medical staff. Fourteen (1.4%) patients were transferred to other departments. One hundred thirty-seven (8.8%) patients died during the next six days of hospitalization. After Multivariate Logistic Regression analysis, abnormal Glasgow Coma Scale (GCS) score, high systolic blood pressure (BP), age, increased total leucocyte count, increased globulin, low bicarbonate in arterial blood, low Mini Mental Status Examination (MMSE) score, and a raised urea >40 mg/dL were found to be associated significantly with mortality.

Conclusion

Of the 1,547 patients who needed urgent hospitalization, 248 (16%) died within the first week, one-half of them within the first 24 hours. An advanced age, abnormal GCS score, low MMSE score, increased systolic BP, leukocytosis, acidosis, and uremia were found to be associated with a fatal outcome. Therefore, nearly one-half of the patients who would have a fatal short-term outcome were likely to do so within the first 24 hours, making the first day of presentation “the golden day” period.

ChoudharyR , GoelA , PruthiS , KalraS , AgarwalS , KalraOP . Profile of Patients Hospitalized through the Emergency Room to the Medicine Ward and their Short-term Outcome at a Tertiary Care Hospital in Delhi. Prehosp Disaster Med. 2015;30(6):593–598.

Type
Original Research
Copyright
© World Association for Disaster and Emergency Medicine 2015 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1. Schuur, JD, Venkatesh, AK. The growing role of emergency departments in hospital admissions. N Engl J Med. 2012;367(5):391-393.CrossRefGoogle ScholarPubMed
2. Ramanujam, P, Aschkenasy, M. Identifying the need for prehospital and emergency care in the developing world: a case study in Chennai, India. J Assoc Physicians India. 2007;55:491-495.Google Scholar
3. Alagappan, K, Cherukuri, K, Narang, V, Kwiatkowski, T, Rajagopalan, A. Early development of emergency medicine in Chennai (Madras), India. Ann Emerg Med. 1998;32(5):604-608.CrossRefGoogle ScholarPubMed
4. Kumar, N, Shekhar, C, Kumar, P, et al. Kuppuswamy’s socioeconomic status scale-updating for 2007. Indian J Pediatr. 2007;74(12):1131-1132.Google ScholarPubMed
5. Rimel, RW, Jane, JA, Edlich, RF. An injury severity scale for comprehensive management of central nervous system trauma. Jacep. 1979;8(2):64-67.Google Scholar
6. Teasdale, G, Murray, G, Parker, L, et al. Adding up the Glasgow Coma Score. Acta Neurochir Suppl (Wien). 1979;28(1):13-16.Google Scholar
7. Mahoney, FI, Barthel, DW. Functional evaluation: the Barthel Index. Md State Med J. 1965;14:61-65.Google Scholar
8. Goodacre, S, Wilson, R, Shephard, N, et al. Derivation and validation of a risk adjustment model for predicting seven day mortality in emergency medical admissions: mixed prospective and retrospective cohort study. Br Med J. 2012;344:e2904.Google Scholar
9. Henneman, PL, Garb, JL, Capraro, GA, et al. Geography and travel distance impact emergency department visits. Journal of Emergency Medicine. 2011;40(3):333-339.Google Scholar
10. Chu, GS, Kugathasan, U, Myint, PK. Delay in the presentation of patients to hospital is the main factor for failure to adhere to the Royal College of Physicians’ guidelines in the management of suspected subarachnoid hemorrhage. Clin Med. 2006;6(5):511-512.Google Scholar
11. Grossman, SA, Brown, DF, Chang, Y, et al. Predictors of delay in presentation to the ED in patients with suspected acute coronary syndromes. American Journal of Emergency Medicine. 2003;21(5):425-428.Google Scholar
12. Walker, LL. Inpatient and emergency department utilization: the effect of distance, social class, age, sex, and marital status. Jacep. 1976;5(2):105-110.Google Scholar
13. Chattoraj, ASS. A study of sickness and admission pattern of patients attending an emergency department in a tertiary care hospital. J Acad Hosp Adm. 2006;18(1):1-12.Google Scholar
14. Goodacre, S, Turner, J, Nicholl, J. Prediction of mortality among emergency medical admissions. Emerg Med J. 2006;23(5):372-375.Google Scholar
15. Drame, M, Jovenin, N, Novella, JL, et al. Predicting early mortality among elderly patients hospitalized in medical wards via emergency department: the SAFES cohort study. J Nutr Health Aging. 2008;12(8):599-604.Google Scholar
16. Jones, AE, Yiannibas, V, Johnson, C, et al. Emergency department hypotension predicts sudden unexpected in-hospital mortality: a prospective cohort study. Chest. 2006;130(4):941-946.Google Scholar
17. Lyons, O, Whelan, B, Bennett, K, et al. Serum albumin as an outcome predictor in hospital emergency medical admissions. Eur J Intern Med. 2010;21(1):17-20.Google Scholar
18. Safwenberg, U, Terent, A, Lind, L. The Emergency department presenting complaint as predictor of in-hospital fatality. Eur J Emerg Med. 2007;14(6):324-331.Google Scholar
19. Safwenberg, U, Terent, A, Lind, L. Differences in long-term mortality for different emergency department presenting complaints. Acad Emerg Med. 2008;15(1):9-16.Google Scholar
20. Gabbanelli, V, Pantanetti, S, Donati, A, et al. Correlation between hyperglycemia and mortality in a medical and surgical intensive care unit. Minerva Anestesiologica. 2005;71(11):717-725.Google Scholar
21. Kagansky, N, Levy, S, Rimon, E, et al. Hypoglycemia as a predictor of mortality in hospitalized elderly patients. Arch Intern Med. 2003;163(15):1825-1829.Google Scholar
22. Asadollahi, K, Beeching, NJ, Gill, GV. Leukocytosis as a predictor for non-infective mortality and morbidity. QJM: An International Journal of Medicine. 2010;103(5):285-292.Google Scholar
23. de Labry, LO, Campion, EW, Glynn, RJ, Vokonas, PS. White blood cell count as a predictor of mortality: results over 18 years from the Normative Aging Study. J Clin Epidemiol. 1990;43(2):153-157.Google Scholar
24. Chawla, AS, Sterns, RH, Nigwekar, SU, Cappuccio, JD. Mortality and the serum sodium: do patients die with or from hyponatremia? Clin J Am Soc Nephrol. 2011;6(5):960-965.Google Scholar
25. Mandal, AK, Saklayen, MG, Hillman, NM, et al. Predictive factors for high mortality in hypernatremic patients. Am J Emerg Med. 1997;15(2):130-132.Google Scholar
26. Waikar, SS, Mount, DB, Curhan, GC. Mortality after hospitalization with mild, moderate, and severe hyponatremia. Am J Med. 2009;122(9):857-865.Google Scholar