Literature DB >> 22459780

The effect of marital status on the presentation and outcomes of elderly male veterans hospitalized for pneumonia.

Mark L Metersky1, Michael J Fine2, Eric M Mortensen3.   

Abstract

BACKGROUND: Although marital status has been shown to affect the outcomes of many conditions, there are limited data on the relationships between marital status and the presentation and outcomes of pneumonia.
METHODS: We used Veterans Affairs administrative databases to identify a retrospective cohort of male veterans age ≥ 65 years hospitalized for pneumonia between 2002 and 2007. We assessed unadjusted and adjusted associations between marital status and mortality, hospital length of stay, and readmission to the hospital using generalized linear mixed-effect models with admitting hospital as a random effect and adjusted for baseline patient characteristics.
RESULTS: There were 48,635 patients (26,558 married and 22,077 unmarried) in the study. Married men had a slightly higher Charlson comorbidity score (3.0 vs 2.8, P < .0001) but were less likely to require ICU admission, ventilator support, and vasopressor treatment during the first 48 h of hospitalization. Married patients had significantly lower crude and adjusted in-hospital mortality (9.4% vs 10.6%; adjusted OR, 0.87; 95% CI, 0.81-0.93) and mortality during the 90 days after hospital discharge (14.7% vs 16.0%; adjusted OR, 0.92; 95% CI, 0.88-0.98). Their adjusted incidence rate ratio length of stay was also lower (0.92; 95% CI, 0.91-0.92).
CONCLUSIONS: Unmarried elderly men admitted to the hospital with pneumonia have a higher risk of in-hospital and postdischarge mortality, despite having a lower degree of comorbidity. Although marital status may be a surrogate marker for other predictors, it is an easily identifiable one. These results should be considered by those responsible for care-transition decisions for patients hospitalized with pneumonia.

Entities:  

Mesh:

Year:  2012        PMID: 22459780      PMCID: PMC3465108          DOI: 10.1378/chest.11-3183

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


  22 in total

1.  A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.

Authors:  M E Charlson; P Pompei; K L Ales; C R MacKenzie
Journal:  J Chronic Dis       Date:  1987

2.  Only severely limited, premorbid functional status is associated with short- and long-term mortality in patients with pneumonia who are critically ill: a prospective observational study.

Authors:  Wendy I Sligl; Dean T Eurich; Thomas J Marrie; Sumit R Majumdar
Journal:  Chest       Date:  2010-08-05       Impact factor: 9.410

Review 3.  Burden of community-acquired pneumonia in North American adults.

Authors:  Thomas M File; Thomas J Marrie
Journal:  Postgrad Med       Date:  2010-03       Impact factor: 3.840

4.  Quality of care, process, and outcomes in elderly patients with pneumonia.

Authors:  T P Meehan; M J Fine; H M Krumholz; J D Scinto; D H Galusha; J T Mockalis; G F Weber; M K Petrillo; P M Houck; J M Fine
Journal:  JAMA       Date:  1997-12-17       Impact factor: 56.272

5.  Marital status, quality of life, and clinical outcome in patients with heart failure.

Authors:  Marie Louise Luttik; Tiny Jaarsma; Nic Veeger; Dirk J van Veldhuisen
Journal:  Heart Lung       Date:  2006 Jan-Feb       Impact factor: 2.210

6.  Assessment of mortality after long-term follow-up of patients with community-acquired pneumonia.

Authors:  Eric M Mortensen; Wishwa N Kapoor; Chung-Chou H Chang; Michael J Fine
Journal:  Clin Infect Dis       Date:  2003-11-20       Impact factor: 9.079

7.  Marital status and non-small cell lung cancer survival: the Lung Cancer Database Project in Japan.

Authors:  Kumi Saito-Nakaya; Naoki Nakaya; Tatsuo Akechi; Masatoshi Inagaki; Mariko Asai; Koichi Goto; Kanji Nagai; Yutaka Nishiwaki; Shoichiro Tsugane; Shin Fukudo; Yosuke Uchitomi
Journal:  Psychooncology       Date:  2008-09       Impact factor: 3.894

8.  Validation of a combined comorbidity index.

Authors:  M Charlson; T P Szatrowski; J Peterson; J Gold
Journal:  J Clin Epidemiol       Date:  1994-11       Impact factor: 6.437

9.  Accuracy and completeness of mortality data in the Department of Veterans Affairs.

Authors:  Min-Woong Sohn; Noreen Arnold; Charles Maynard; Denise M Hynes
Journal:  Popul Health Metr       Date:  2006-04-10

10.  Marital status, gender and cardiovascular mortality: behavioural, psychological distress and metabolic explanations.

Authors:  Gerard John Molloy; Emmanuel Stamatakis; Gemma Randall; Mark Hamer
Journal:  Soc Sci Med       Date:  2009-06-06       Impact factor: 4.634

View more
  5 in total

1.  Advanced disease, diuretic use, and marital status predict hospital admissions in an ambulatory cirrhosis cohort.

Authors:  Kara B Johnson; Emily J Campbell; Heng Chi; Hui Zheng; Lindsay Y King; Ying Wu; Andrew Delemos; Abu Hurairah; Kathleen Corey; James M Richter; Raymond T Chung
Journal:  Dig Dis Sci       Date:  2013-08-30       Impact factor: 3.199

2.  Depression and risk of hospitalization for pneumonia in a cohort study of older Americans.

Authors:  Dimitry S Davydow; Catherine L Hough; Kara Zivin; Kenneth M Langa; Wayne J Katon
Journal:  J Psychosom Res       Date:  2014-08-11       Impact factor: 3.006

3.  ICU Risk Stratification Models Feasible for Use in Sub-Saharan Africa Show Poor Discrimination in Malawi: A Prospective Cohort Study.

Authors:  Meghan Prin; Stephanie Pan; Clement Kadyaudzu; Guohua Li; Anthony Charles
Journal:  World J Surg       Date:  2019-10       Impact factor: 3.352

4.  Does marriage protect against hospitalization with pneumonia? A population-based case-control study.

Authors:  Anil Mor; Sinna P Ulrichsen; Elisabeth Svensson; Klara Berencsi; Reimar W Thomsen
Journal:  Clin Epidemiol       Date:  2013-10-11       Impact factor: 4.790

Review 5.  The PIRO (predisposition, insult, response, organ dysfunction) model: toward a staging system for acute illness.

Authors:  John C Marshall
Journal:  Virulence       Date:  2013-11-01       Impact factor: 5.882

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.