Sex-specific outcome disparities in very old patients admitted to intensive care medicine: a propensity matched analysis

Bernhard Wernly, Raphael Romano Bruno, Malte Kelm, Ariane Boumendil, Alessandro Morandi, Finn H Andersen, Antonio Artigas, Stefano Finazzi, Maurizio Cecconi, Steffen Christensen, Loredana Faraldi, Michael Lichtenauer, Johanna M Muessig, Brian Marsh, Rui Moreno, Sandra Oeyen, Christina Agvald Öhman, Bernado Bollen Pinto, Ivo W Soliman, Wojciech Szczeklik, David Niederseer, Andreas Valentin, Ximena Watson, Susannah Leaver, Carole Boulanger, Sten Walther, Joerg C Schefold, Michael Joannidis, Yuriy Nalapko, Muhammed Elhadi, Jesper Fjølner, Tilemachos Zafeiridis, Dylan W De Lange, Bertrand Guidet, Hans Flaatten, Christian Jung, Bernhard Wernly, Raphael Romano Bruno, Malte Kelm, Ariane Boumendil, Alessandro Morandi, Finn H Andersen, Antonio Artigas, Stefano Finazzi, Maurizio Cecconi, Steffen Christensen, Loredana Faraldi, Michael Lichtenauer, Johanna M Muessig, Brian Marsh, Rui Moreno, Sandra Oeyen, Christina Agvald Öhman, Bernado Bollen Pinto, Ivo W Soliman, Wojciech Szczeklik, David Niederseer, Andreas Valentin, Ximena Watson, Susannah Leaver, Carole Boulanger, Sten Walther, Joerg C Schefold, Michael Joannidis, Yuriy Nalapko, Muhammed Elhadi, Jesper Fjølner, Tilemachos Zafeiridis, Dylan W De Lange, Bertrand Guidet, Hans Flaatten, Christian Jung

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://ichgcp.net/clinical-trials-registry/NCT03370692 .

Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Flow chart of the propensity-score matching process.

References

    1. Boumendil A, Somme D, Garrouste-Orgeas M, Guidet B. Should elderly patients be admitted to the intensive care unit? Intensive Care Med. 2007;33:1252. doi: 10.1007/s00134-007-0621-3.
    1. Guidet B, de Lange DW, Flaatten H. Should this elderly patient be admitted to the ICU? Intensive Care Med. 2018 doi: 10.1007/s00134-018-5054-7.
    1. Flaatten H, Garrouste-Orgeas M. The very old ICU patient: a never-ending story. Intensive Care Med. 2015;41:1996–1998. doi: 10.1007/s00134-015-4052-2.
    1. Flaatten H, et al. The impact of frailty on ICU and 30-day mortality and the level of care in very elderly patients (>/= 80 years) Intensive Care Med. 2017;43:1820–1828. doi: 10.1007/s00134-017-4940-8.
    1. Muessig JM, et al. Clinical Frailty Scale (CFS) reliably stratifies octogenarians in German ICUs: a multicentre prospective cohort study. BMC Geriatr. 2018;18:162. doi: 10.1186/s12877-018-0847-7.
    1. Schiele F, et al. Propensity score-matched analysis of effects of clinical characteristics and treatment on gender difference in outcomes after acute myocardial infarction. Am. J. Cardiol. 2011;108:789–798. doi: 10.1016/j.amjcard.2011.04.031.
    1. Schoeneberg C, et al. Gender-specific differences in severely injured patients between 2002 and 2011: data analysis with matched-pair analysis. Crit. Care. 2013;17:R277. doi: 10.1186/cc13132.
    1. Park J, et al. A nationwide analysis of intensive care unit admissions, 2009–2014—The Korean ICU National Data (KIND) study. J. Crit. Care. 2018;44:24–30. doi: 10.1016/j.jcrc.2017.09.017.
    1. Tibullo L, Esquinas A. Outcomes difference in non-invasive ventilation in ‘very old’ patients with acute respiratory failure: occult gender effect? Emerg. Med. J. 2019;36:514. doi: 10.1136/emermed-2019-208692.
    1. Cilloniz C, et al. Risk and prognostic factors in very old patients with sepsis secondary to community-acquired pneumonia. J. Clin. Med. 2019 doi: 10.3390/jcm8070961.
    1. Martin GS, Mannino DM, Eaton S, Moss M. The epidemiology of sepsis in the United States from 1979 through 2000. N. Engl. J. Med. 2003;348:1546–1554. doi: 10.1056/NEJMoa022139.
    1. Block L, et al. Age, SAPS 3 and female sex are associated with decisions to withdraw or withhold intensive care. Acta Anaesthesiol. Scand. 2019;63:1210–1215. doi: 10.1111/aas.13411.
    1. Hollinger A, et al. Gender and survival of critically ill patients: results from the FROG-ICU study. Ann. Intensive Care. 2019;9:43. doi: 10.1186/s13613-019-0514-y.
    1. Guidet B, et al. The contribution of frailty, cognition, activity of daily life and comorbidities on outcome in acutely admitted patients over 80 years in European ICUs: the VIP2 study. Intensive Care Med. 2019 doi: 10.1007/s00134-019-05853-1.
    1. D'Agostino RB., Jr Propensity scores in cardiovascular research. Circulation. 2007;115:2340–2343. doi: 10.1161/CIRCULATIONAHA.105.594952.
    1. Guidet B, et al. Withholding or withdrawing of life-sustaining therapy in older adults (>/= 80 years) admitted to the intensive care unit. Intensive Care Med. 2018;44:1027–1038. doi: 10.1007/s00134-018-5196-7.
    1. Jung C, et al. 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.
    1. Rockwood K, et al. A global clinical measure of fitness and frailty in elderly people. CMAJ. 2005;173:489–495. doi: 10.1503/cmaj.050051.
    1. Jorm AF, Jacomb PA. The Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE): socio-demographic correlates, reliability, validity and some norms. Psychol. Med. 1989;19:1015–1022. doi: 10.1017/s0033291700005742.
    1. Katz S. Assessing self-maintenance: activities of daily living, mobility, and instrumental activities of daily living. J. Am. Geriatr. Soc. 1983;31:721–727. doi: 10.1111/j.1532-5415.1983.tb03391.x.
    1. Seppi T, et al. Sex differences in renal proximal tubular cell homeostasis. J. Am. Soc. Nephrol. 2016;27:3051–3062. doi: 10.1681/ASN.2015080886.
    1. Valentin A, Jordan B, Lang T, Hiesmayr M, Metnitz PG. Gender-related differences in intensive care: a multiple-center cohort study of therapeutic interventions and outcome in critically ill patients. Crit. Care Med. 2003;31:1901–1907. doi: 10.1097/01.CCM.0000069347.78151.50.
    1. Nathanson BH, et al. Do elderly patients fare well in the ICU? Chest. 2011;139:825–831. doi: 10.1378/chest.10-1233.
    1. Jung C. Assessment of microcirculation in cardiogenic shock. Curr. Opin. Crit. Care. 2019;25:410–416. doi: 10.1097/MCC.0000000000000630.
    1. Masyuk M, et al. Prognostic relevance of serum lactate kinetics in critically ill patients. Intensive Care Med. 2019;45:55–61. doi: 10.1007/s00134-018-5475-3.
    1. Pan SW, et al. Synergistic impact of low serum albumin on intensive care unit admission and high blood urea nitrogen during intensive care unit stay on post-intensive care unit mortality in critically ill elderly patients requiring mechanical ventilation. Geriatr. Gerontol. Int. 2013;13:107–115. doi: 10.1111/j.1447-0594.2012.00869.x.
    1. Thomson B, et al. Association of childhood smoking and adult mortality: prospective study of 120 000 Cuban adults. Lancet Glob. Health. 2020;8:e850–e857. doi: 10.1016/S2214-109X(20)30221-7.
    1. Bastian K, et al. Association of social deprivation with 1-year outcome of ICU survivors: results from the FROG-ICU study. Intensive Care Med. 2018;44:2025–2037. doi: 10.1007/s00134-018-5412-5.
    1. Ski CF, King-Shier KM, Thompson DR. Gender, socioeconomic and ethnic/racial disparities in cardiovascular disease: a time for change. Int. J. Cardiol. 2014;170:255–257. doi: 10.1016/j.ijcard.2013.10.082.
    1. Reniers RL, Murphy L, Lin A, Bartolome SP, Wood SJ. Risk perception and risk-taking behaviour during adolescence: the influence of personality and gender. PLoS ONE. 2016;11:e0153842. doi: 10.1371/journal.pone.0153842.
    1. Cheng MH, Chang SF. Frailty as a risk factor for falls among community dwelling people: evidence from a meta-analysis. J. Nurs. Scholarsh. 2017;49:529–536. doi: 10.1111/jnu.12322.
    1. Leblanc G, Boumendil A, Guidet B. Ten things to know about critically ill elderly patients. Intensive Care Med. 2017;43:217–219. doi: 10.1007/s00134-016-4477-2.

Source: PubMed

3
Se inscrever