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Measures and Impact of Caseload Surge During the COVID-19 Pandemic: A Systematic Review.
Neupane, Maniraj; De Jonge, Nathaniel; Angelo, Sahil; Sarzynski, Sadia; Sun, Junfeng; Rochwerg, Bram; Hick, John; Mitchell, Steven H; Warner, Sarah; Mancera, Alex; Cooper, Diane; Kadri, Sameer S.
Afiliación
  • Neupane M; Clinical Epidemiology Section, Critical Care Medicine Department, National Institutes of Health Clinical Center, Bethesda, MD.
  • De Jonge N; Critical Care Medicine Branch, National Heart, Lung, and Blood Institute, Bethesda, MD.
  • Angelo S; Clinical Epidemiology Section, Critical Care Medicine Department, National Institutes of Health Clinical Center, Bethesda, MD.
  • Sarzynski S; Department of Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA.
  • Sun J; Clinical Epidemiology Section, Critical Care Medicine Department, National Institutes of Health Clinical Center, Bethesda, MD.
  • Rochwerg B; Critical Care Medicine Branch, National Heart, Lung, and Blood Institute, Bethesda, MD.
  • Hick J; Clinical Epidemiology Section, Critical Care Medicine Department, National Institutes of Health Clinical Center, Bethesda, MD.
  • Mitchell SH; Critical Care Medicine Branch, National Heart, Lung, and Blood Institute, Bethesda, MD.
  • Warner S; Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada.
  • Mancera A; Department of Medicine, McMaster University, Hamilton, ON, Canada.
  • Cooper D; Department of Emergency Medicine, Hennepin Healthcare, Minneapolis, MN.
  • Kadri SS; Department of Emergency Medicine, University of Washington, Seattle, WA.
Crit Care Med ; 52(7): 1097-1112, 2024 Jul 01.
Article en En | MEDLINE | ID: mdl-38517234
ABSTRACT

OBJECTIVES:

COVID-19 pandemic surges strained hospitals globally. We performed a systematic review to examine measures of pandemic caseload surge and its impact on mortality of hospitalized patients. DATA SOURCES PubMed, Embase, and Web of Science. STUDY SELECTION English-language studies published between December 1, 2019, and November 22, 2023, which reported the association between pandemic "surge"-related measures and mortality in hospitalized patients. DATA EXTRACTION Three authors independently screened studies, extracted data, and assessed individual study risk of bias. We assessed measures of surge qualitatively across included studies. Given multidomain heterogeneity, we semiquantitatively aggregated surge-mortality associations. DATA

SYNTHESIS:

Of 17,831 citations, we included 39 studies, 17 of which specifically described surge effects in ICU settings. The majority of studies were from high-income countries ( n = 35 studies) and included patients with COVID-19 ( n = 31). There were 37 different surge metrics which were mapped into four broad themes, incorporating caseloads either directly as unadjusted counts ( n = 11), nested in occupancy ( n = 14), including additional factors (e.g., resource needs, speed of occupancy; n = 10), or using indirect proxies (e.g., altered staffing ratios, alternative care settings; n = 4). Notwithstanding metric heterogeneity, 32 of 39 studies (82%) reported detrimental adjusted odds/hazard ratio for caseload surge-mortality outcomes, reporting point estimates of up to four-fold increased risk of mortality. This signal persisted among study subgroups categorized by publication year, patient types, clinical settings, and country income status.

CONCLUSIONS:

Pandemic caseload surge was associated with lower survival across most studies regardless of jurisdiction, timing, and population. Markedly variable surge strain measures precluded meta-analysis and findings have uncertain generalizability to lower-middle-income countries (LMICs). These findings underscore the need for establishing a consensus surge metric that is sensitive to capturing harms in everyday fluctuations and future pandemics and is scalable to LMICs.
Asunto(s)

Texto completo: 1 Base de datos: MEDLINE Asunto principal: COVID-19 Idioma: En Revista: Crit Care Med Año: 2024 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: COVID-19 Idioma: En Revista: Crit Care Med Año: 2024 Tipo del documento: Article