Literature DB >> 17822658

The diagnoses and co-morbidity encountered in the hospital practice of acute internal medicine.

John Kellett1, Breda Deane.   

Abstract

BACKGROUND: The exact medical conditions that every internist needs to know how to diagnose and treat have seldom been explicitly stated. This paper reports an analysis of the conditions, as identified by ICD9 coding, cared for by general internists working in a representative Irish hospital.
METHODS: In this observational study covering the period from February 17, 2000 to January 29, 2004, the ICD9 codes and mortality of 9214 consecutive patients admitted as acute medical emergencies were examined.
RESULTS: The mean number of ICD9 codes per patient was 4.0+/-1.8 (median 4.0 codes); 935 patients (10.1%) had one ICD9 code and 2972 (32.3%) had six ICD9 codes recorded at the time of discharge. As the number of ICD9 codes recorded increased, so did patient age, 30-day mortality and length of hospital stay. Thirty-four conditions were found to be associated with a statistically significant increased risk of 30-day mortality, and eight with a significantly reduced risk. Of the remaining conditions (i.e. those with neither an increased nor reduced risk of mortality), 32 were observed in 1% or more of all patients. DISCUSSION: Nearly all of the clinical presentations encountered are encompassed within an average of four combinations of 74 conditions, 34 of which are associated with an increased risk of death.

Entities:  

Year:  2007        PMID: 17822658     DOI: 10.1016/j.ejim.2007.02.019

Source DB:  PubMed          Journal:  Eur J Intern Med        ISSN: 0953-6205            Impact factor:   4.487


  6 in total

1.  Patient characteristics, resource use and outcomes associated with general internal medicine hospital care: the General Medicine Inpatient Initiative (GEMINI) retrospective cohort study.

Authors:  Amol A Verma; Yishan Guo; Janice L Kwan; Lauren Lapointe-Shaw; Shail Rawal; Terence Tang; Adina Weinerman; Peter Cram; Irfan A Dhalla; Stephen W Hwang; Andreas Laupacis; Muhammad M Mamdani; Steven Shadowitz; Ross Upshur; Robert J Reid; Fahad Razak
Journal:  CMAJ Open       Date:  2017-12-13

2.  Characteristics of short general internal medicine hospital stays: a multicentre cross-sectional study.

Authors:  Amol A Verma; Yishan Guo; Janice L Kwan; Lauren Lapointe-Shaw; Shail Rawal; Terence Tang; Adina Weinerman; Fahad Razak
Journal:  CMAJ Open       Date:  2019-01-28

3.  Prevalence and Costs of Discharge Diagnoses in Inpatient General Internal Medicine: a Multi-center Cross-sectional Study.

Authors:  Amol A Verma; Yishan Guo; Janice L Kwan; Lauren Lapointe-Shaw; Shail Rawal; Terence Tang; Adina Weinerman; Fahad Razak
Journal:  J Gen Intern Med       Date:  2018-07-27       Impact factor: 5.128

4.  Frequency and risk factors associated with emergency medical readmissions in Galway University Hospitals.

Authors:  J Gorman; A Vellinga; J J Gilmartin; S T O'Keeffe
Journal:  Ir J Med Sci       Date:  2009-11-29       Impact factor: 1.568

5.  Patterns and outcomes of admissions to the medical acute care unit of a tertiary teaching hospital in South Africa.

Authors:  Uzma Khan; Colin N Menezes; Nimmisha Govind
Journal:  Afr J Emerg Med       Date:  2020-12-08

6.  Validation of a Simple Score for Mortality Prediction in a Cohort of Unselected Emergency Patients.

Authors:  Jeannette-Marie Busch; Isabelle Arnold; John Kellett; Mikkel Brabrand; Roland Bingisser; Christian H Nickel
Journal:  Int J Clin Pract       Date:  2022-09-23       Impact factor: 3.149

  6 in total

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