Literature DB >> 10098575

The relationship of gender and in-hospital death: increased risk of death in men.

H S Gordon1, G E Rosenthal.   

Abstract

OBJECTIVES: The prognostic importance of gender in hospitalized patients has been poorly studied. The current study compared in-hospital death rates between men and women after adjusting for severity of illness.
DESIGN: Retrospective cohort study. PATIENTS: 89,793 eligible patients with 6 common nonsurgical diagnoses who were discharged from 30 hospitals in Northeast Ohio in 1991 to 1993.
METHODS: Admission severity of illness (ie, predicted risk of death) was calculated using multivariable models that were based on data abstracted from patients' clinical records (ROC curve areas, 0.83-0.90). In hospital death rates were then adjusted for predicted risks of death and other covariates using logistic regression analysis.
RESULTS: Adjusted odds of death were higher (P < 0.05) in men, compared with women, for 4 diagnoses (stroke [OR, 1.60]; obstructive airway disease [OR, 1.38]; gastrointestinal hemorrhage [OR 1.32]; pneumonia [OR, 1.18]) and similar for two diagnoses (congestive heart failure [OR, 1.12]; and acute myocardial infarction [OR, 0.97]). These differences were somewhat attenuated by excluding patients discharged to skilled nursing facilities or other hospitals from analysis; nonetheless, the odds of death in men remained higher for 3 diagnoses.
CONCLUSIONS: The findings indicate that inhospital death rates are generally higher in men than in women, after adjusting for severity of illness. In addition, the risk of in-hospital death in men and women was influenced by diagnosis. These differences may reflect gender-related variation in the utilization of hospital services, the effectiveness of care, over- or underestimation of severity of illness, or biological differences in men and women.

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Year:  1999        PMID: 10098575     DOI: 10.1097/00005650-199903000-00011

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  9 in total

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Journal:  Microb Pathog       Date:  2012-01-20       Impact factor: 3.738

2.  Histopathologic evaluation of lung and extrapulmonary tissues show sex differences in Klebsiella pneumoniae - infected mice under different exposure conditions.

Authors:  Anatoly N Mikerov; Timothy K Cooper; Guirong Wang; Sanmei Hu; Todd M Umstead; David S Phelps; Joanna Floros
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3.  Gender is a major factor in determining the severity of mycoplasma respiratory disease in mice.

Authors:  A L Yancey; H L Watson; S C Cartner; J W Simecka
Journal:  Infect Immun       Date:  2001-05       Impact factor: 3.441

4.  The Lung Alveolar Cell (LAC) miRNome and Gene Expression Profile of the SP-A-KO Mice After Infection With and Without Rescue With Human Surfactant Protein-A2 (1A0).

Authors:  Nithyananda Thorenoor; Joanna Floros
Journal:  Front Immunol       Date:  2022-07-01       Impact factor: 8.786

5.  Vaccination evokes gender-dependent protection against tularemia infection in C57BL/6Tac mice.

Authors:  Raju Sunagar; Sudeep Kumar; Brian J Franz; Edmund J Gosselin
Journal:  Vaccine       Date:  2016-05-13       Impact factor: 3.641

6.  Predictors of in-Hospital Mortality after Acute Stroke: Impact of Gender.

Authors:  Waleed M Sweileh; Ansam F Sawalha; Sana M Al-Aqad; Sa'ed H Zyoud; Samah W Al-Jabi
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7.  Do men perform better than women in trauma?

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Journal:  Crit Care       Date:  2014-02-27       Impact factor: 9.097

Review 8.  Sexual dimorphism in bacterial infections.

Authors:  Edgar Ricardo Vázquez-Martínez; Elizabeth García-Gómez; Ignacio Camacho-Arroyo; Bertha González-Pedrajo
Journal:  Biol Sex Differ       Date:  2018-06-20       Impact factor: 5.027

9.  Survival of Surfactant Protein-A1 and SP-A2 Transgenic Mice After Klebsiella pneumoniae Infection, Exhibits Sex-, Gene-, and Variant Specific Differences; Treatment With Surfactant Protein Improves Survival.

Authors:  Nithyananda Thorenoor; Todd M Umstead; Xuesheng Zhang; David S Phelps; Joanna Floros
Journal:  Front Immunol       Date:  2018-10-16       Impact factor: 7.561

  9 in total

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