ArticleAnnals of Saudi medicine
Accuracy of conventional disease severity scores in predicting COVID-19 ICU mortality: retrospective single-center study in Turkey.
Article in Annals of Saudi medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDisease severity scores are important tools for predicting mortality in intensive care units (ICUs), but conventional disease severity scores may not be suitable for predicting mortality in coronavirus disease-19 (COVID-19) patients.
objectiveCompare conventional disease severity scores for discriminative power in ICU mortality.
designRetrospective cohort
settingIntensive care unit in tertiary teaching and research hospital. PATIENTS AND
methodsCOVID-19 patients who were admitted to our ICU between 11 March 2020 and 31 December 2021 were included in the study. Patients who died within the first 24 hours were not included. SAPS II, APACHE II and APACHE 4 scores were calculated within the first 24 hours of ICU admission. A receiver operating characteristics (ROC) analysis was performed for discriminative power of disease severity scores.
main outcome measureICU mortality SAMPLE SIZE AND CHARACTERISTICS: 510 subjects with median (interquartile percentiles) age of 65 (56-74) years.
resultsAbout half (n=250, 51%) died during ICU stay. Three disease severity scores had similar discriminative power, the area under the curve (AUC), SAPS II (AUC 0.79), APACHE II (AUC 0.76), APACHE 4 (AUC 0.78) (
conclusionConventional disease severity scores are good indicators of COVID-19 severity. However, they may underestimate mortality in COVID-19. New scoring systems should be developed for mortality prediction in COVID-19. LIMITATION: A single-center study CONFLICT OF INTEREST: None.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.