» Articles » PMID: 33122713

Sex-specific Outcome Disparities in Very Old Patients Admitted to Intensive Care Medicine: a Propensity Matched Analysis

Abstract

Female and male very elderly intensive patients (VIPs) might differ in characteristics and outcomes. We aimed to compare female versus male VIPs in a large, multinational collective of VIPs with regards to outcome and predictors of mortality. In total, 7555 patients were included in this analysis, 3973 (53%) male and 3582 (47%) female patients. The primary endpoint was 30-day-mortality. Baseline characteristics, data on management and geriatric scores including frailty assessed by Clinical Frailty Scale (CFS) were documented. Two propensity scores (for being male) were obtained for consecutive matching, score 1 for baseline characteristics and score 2 for baseline characteristics and ICU management. Male VIPs were younger (83 ± 5 vs. 84 ± 5; p < 0.001), less often frail (CFS > 4; 38% versus 49%; p < 0.001) but evidenced higher SOFA (7 ± 6 versus 6 ± 6 points; p < 0.001) scores. After propensity score matching, no differences in baseline characteristics could be observed. In the paired analysis, the mortality in male VIPs was higher (mean difference 3.34% 95%CI 0.92-5.76%; p = 0.007) compared to females. In both multivariable logistic regression models correcting for propensity score 1 (aOR 1.15 95%CI 1.03-1.27; p = 0.007) and propensity score 2 (aOR 1.15 95%CI 1.04-1.27; p = 0.007) male sex was independently associated with higher odds for 30-day-mortality. Of note, male gender was not associated with ICU mortality (OR 1.08 95%CI 0.98-1.19; p = 0.14). Outcomes of elderly intensive care patients evidenced independent sex differences. Male sex was associated with adverse 30-day-mortality but not ICU-mortality. Further research to identify potential sex-specific risk factors after ICU discharge is warranted.Trial registration: NCT03134807 and NCT03370692; Registered on May 1, 2017 https://clinicaltrials.gov/ct2/show/NCT03370692 .

Citing Articles

Frailty index is an independent predictor of all-cause and cardiovascular mortality in Eastern Europe: a multicentre cohort study.

Court T, capkova N, Pajak A, Tamosiunas A, Bobak M, Pikhart H J Epidemiol Community Health. 2024; 79(1):56-63.

PMID: 39181708 PMC: 11671974. DOI: 10.1136/jech-2023-221761.


Population-scale identification of differential adverse events before and during a pandemic.

Zhang X, Sumathipala M, Zitnik M Nat Comput Sci. 2024; 1(10):666-677.

PMID: 38217191 PMC: 10766557. DOI: 10.1038/s43588-021-00138-4.


Sex-specific treatment characteristics and 30-day mortality outcomes of critically ill COVID-19 patients over 70 years of age-results from the prospective COVIP study.

Wolff G, Wernly B, Flaatten H, Fjolner J, Bruno R, Artigas A Can J Anaesth. 2022; 69(11):1390-1398.

PMID: 35945477 PMC: 9363137. DOI: 10.1007/s12630-022-02304-2.


Methods of Assessing Frailty in the Critically Ill: A Systematic Review of the Current Literature.

Bertschi D, Waskowski J, Schilling M, Donatsch C, Schefold J, Pfortmueller C Gerontology. 2022; 68(12):1321-1349.

PMID: 35339999 PMC: 9808663. DOI: 10.1159/000523674.


Underweight but not overweight is associated with excess mortality in septic ICU patients.

Danninger T, Rezar R, Mamandipoor B, Dankl D, Kokofer A, Jung C Wien Klin Wochenschr. 2021; 134(3-4):139-147.

PMID: 34529131 PMC: 8857006. DOI: 10.1007/s00508-021-01912-0.


References
1.
Rockwood K, Song X, MacKnight C, Bergman H, Hogan D, McDowell I . A global clinical measure of fitness and frailty in elderly people. CMAJ. 2005; 173(5):489-95. PMC: 1188185. DOI: 10.1503/cmaj.050051. View

2.
DAgostino Jr R . Propensity scores in cardiovascular research. Circulation. 2007; 115(17):2340-3. DOI: 10.1161/CIRCULATIONAHA.105.594952. View

3.
Jung C, Wernly B, Muessig J, Kelm M, Boumendil A, Morandi A . A comparison of very old patients admitted to intensive care unit after acute versus elective surgery or intervention. J Crit Care. 2019; 52:141-148. DOI: 10.1016/j.jcrc.2019.04.020. View

4.
Ski C, King-Shier K, Thompson D . Gender, socioeconomic and ethnic/racial disparities in cardiovascular disease: a time for change. Int J Cardiol. 2013; 170(3):255-7. DOI: 10.1016/j.ijcard.2013.10.082. View

5.
Katz S . Assessing self-maintenance: activities of daily living, mobility, and instrumental activities of daily living. J Am Geriatr Soc. 1983; 31(12):721-7. DOI: 10.1111/j.1532-5415.1983.tb03391.x. View