Background: Scoring systems are often used describe the degree of multi-system organ failure (MOF), however, the data used to calculate these scores are often missing. Studies utilizing these scoring systems… Click to show full abstract
Background: Scoring systems are often used describe the degree of multi-system organ failure (MOF), however, the data used to calculate these scores are often missing. Studies utilizing these scoring systems often underreport the frequency of missing data. No study has examined the availability of clinical data needed to calculate Sequential Organ Failure Assessment (SOFA), and other organ failure scores. The primary objective of this study is to observe how often emergency general surgery and trauma patients have missing data needed to calculate MOF scores. Patients and Methods: Patients admitted between June 2017 and September 2019 were evaluated. Data to calculate SOFA, quick SOFA (qSOFA), Marshall Multiple Organ Dysfunction Score (MODS), Denver Post-Injury Multiple Organ Failure, and systemic inflammatory response syndrome (SIRS) criteria, as well as demographic and general admission and discharge data, were collected. Results: Of the 238 patients included in this study, 66.4% were emergency general surgery and 33.6% were trauma patients. For all patients, the median intensive care unit (ICU) length of stay (LOS) was seven days (range, 4-12), the median hospital LOS was 14 days (range, 10-21), and 28 patients (11.8%) did not survive to hospital discharge. Sequential Organ Failure Assessment was calculable in 21.4%-18.1%, whereas MODS was calculable in 6.3%-5.0% on days three and five, respectively. The Denver score was calculable in 32.5%-28.8% of trauma patients on these days. Of the data points needed to calculate these scores, the partial pressure of oxygen (Pao2)/fraction of inspired oxygen (FIo2) ratio, central venous pressure (CVP), and bilirubin were the least available components. Conclusions: Data needed to fully calculate SOFA and other common MOF scores are often not readily available highlighting the degree of imputation required to calculate these scores. We recommend better reporting of the degree of missing data in the literature.
               
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