Correction: "Acute kidney injury in critically ill patients with COVID-19: The AKICOV multicenter study in Catalonia".

[This corrects the article DOI: 10.1371/journal.pone.0284248.].

Assessment of candidemia-attributable mortality in critically ill patients using propensity score matching analysis.

INTRODUCTION: Candidemia in critically ill patients is usually a severe and life-threatening condition with a high crude mortality. Very few studies have focused on the impact of candidemia on ICU patient outcome and attributable mortality still remains controversial. This study was carried out to determine the attributable mortality of ICU-acquired candidemia in critically ill patients using propensity score matching analysis. METHODS: A prospective observational study was conducted of all consecutive non-neutropenic adult patients admitted for at least seven days to 36 ICUs in Spain, France, and Argentina between April 2006 and June 2007. The probability of developing candidemia was estimated using a multivariate logistic regression model. Each patient with ICU-acquired candidemia was matched with two control patients with the nearest available Mahalanobis metric matching within the calipers defined by the propensity score. Standardized differences tests (SDT) for each variable before and after matching were calculated. Attributable mortality was determined by a modified Poisson regression model adjusted by those variables that still presented certain misalignments defined as a SDT > 10%. RESULTS: Thirty-eight candidemias were diagnosed in 1,107 patients (34.3 episodes/1,000 ICU patients). Patients with and without candidemia had an ICU crude mortality of 52.6% versus 20.6% (P < 0.001) and a crude hospital mortality of 55.3% versus 29.6% (P = 0.01), respectively. In the propensity matched analysis, the corresponding figures were 51.4% versus 37.1% (P = 0.222) and 54.3% versus 50% (P = 0.680). After controlling residual confusion by the Poisson regression model, the relative risk (RR) of ICU- and hospital-attributable mortality from candidemia was RR 1.298 (95% confidence interval (CI) 0.88 to 1.98) and RR 1.096 (95% CI 0.68 to 1.69), respectively. CONCLUSIONS: ICU-acquired candidemia in critically ill patients is not associated with an increase in either ICU or hospital mortality.

Usefulness of the "Candida score" for discriminating between Candida colonization and invasive candidiasis in non-neutropenic critically ill patients: a prospective multicenter study.

OBJECTIVE: To assess the usefulness of the "Candida score" (CS) for discriminating between Candida species colonization and invasive candidiasis (IC) in non-neutropenic critically ill patients. A rate of IC <5% in patients with CS <3 was the primary end point. DESIGN: Prospective, cohort, observational study. SETTING: Thirty-six medical-surgical intensive care units of Spain, Argentina, and France. PATIENTS: A total of 1,107 non-neutropenic adult intensive care unit patients admitted for at least 7 days between April 2006 and June 2007. MEASUREMENTS AND MAIN RESULTS: Clinical data, surveillance cultures for fungal growth, and serum levels of (1-3)-beta-d-glucan and anti-Candida antibodies (in a subset of patients) were recorded. The CS was calculated as follows (variables coded as absent = 0, present = 1): total parenteral nutrition x1, plus surgery x1, plus multifocal Candida colonization x1, plus severe sepsis x2. A CS >or=3 accurately selected patients at high risk for IC. The colonization index was registered if >or=0.5. The rate of IC was 2.3% (95% confidence interval [CI] 1.06-3.54) among patients with CS <3, with a linear association between increasing values of CS and IC rate (p 7 days, with a CS <3 and not receiving antifungal treatment, the rate of IC was <5%. Therefore, IC is highly improbable if a Candida-colonized non-neutropenic critically ill patient has a CS <3.