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The prehospital quick SOFA score is associated with in-hospital mortality in noninfected patients: A retrospective, cross-sectional study.

ABSTRACT: This study aimed to determine the accuracy of the quick Sequential Organ Failure Assessment (qSOFA) score in predicting mortality among prehospital patients with and without infection. This single-center, retrospective, cross-sectional study was conducted among patients who arrived via the emergency medical services (EMS). We calculated the qSOFA score and Modified Early Warning Score (MEWS) from prehospital records. We identified patients as infected if they received intravenous antibiotics at the emergency department or within the first 24 hours. Receiver operating characteristic analysis was used to evaluate and compare the performance of the qSOFA score, each physiological parameter, and the MEWS in predicting admission and in-hospital mortality in patients with and without infection. Multivariate analysis was used to evaluate the qSOFA score and other risk factors. Out of 1574 prehospital patients, 47.1% were admitted and 3.2% died in the hospital. The performance of the qSOFA score in predicting in-hospital mortality in noninfected patients was 0.70, higher than for each parameter and the MEWS. The areas under the curve for the qSOFA+ model vs. the qSOFA- model was 0.77 vs. 0.68 for noninfected patients (p <0.05) and 0.71 vs. 0.68 for infected patients (p = 0.41). The likelihood ratio test comparing the qSOFA- and qSOFA+ groups demonstrated significant improvement for noninfected patients (p <0.01). Multivariate regression analysis for in-hospital mortality demonstrated that the qSOFA score is an independent prognosticator for in-hospital mortality, especially among noninfected patients (odds ratio, 3.60; p <0.01). In conclusion, the prehospital qSOFA score was associated with in-hospital mortality in noninfected patients and may be a beneficial tool for identifying deteriorating patients in the prehospital setting.

SUBMITTER: Kitahara O

PROVIDER: S-EPMC6095537 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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The prehospital quick SOFA score is associated with in-hospital mortality in noninfected patients: A retrospective, cross-sectional study.

Kitahara Osamu O Nishiyama Kei K Yamamoto Bunsei B Inoue Shigeaki S Inokuchi Sadaki S

PloS one 20180816 8

This study aimed to determine the accuracy of the quick Sequential Organ Failure Assessment (qSOFA) score in predicting mortality among prehospital patients with and without infection. This single-center, retrospective, cross-sectional study was conducted among patients who arrived via the emergency medical services (EMS). We calculated the qSOFA score and Modified Early Warning Score (MEWS) from prehospital records. We identified patients as infected if they received intravenous antibiotics at ...[more]

PMID: 30114203

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Project description:ObjectivesDengue imposes substantial economic, societal and personal burden in terms of hospital stay, morbidity and mortality. Early identification of dengue cases with high propensity of increased hospital stay and death could be of value in isolating patients in need of early interventions. The current study was aimed to determine the significant factors associated with dengue-related prolonged hospitalisation and death.DesignCross-sectional retrospective study.SettingTertiary care teaching hospital.ParticipantsPatients with confirmed dengue diagnosis were stratified into two categories on the basis of prolonged hospitalisation (?3 days and >3 days) and mortality (fatal cases and non-fatal cases). Clinico-laboratory characteristics between these categories were compared by using appropriate statistical methods.ResultsOf 667 patients enrolled, 328 (49.2%) had prolonged hospitalisation. The mean hospital stay was 4.88±2.74 days. Multivariate analysis showed that dengue haemorrhagic fever (OR 2.3), elevated alkaline phosphatase (ALP) (OR 2.3), prolonged prothrombin time (PT) (OR 1.7), activated partial thromboplastin time (aPTT) (OR 1.9) and multiple-organ dysfunctions (OR 2.1) were independently associated with prolonged hospitalisation. Overall case fatality rate was 1.1%. Factors associated with dengue mortality were age >40 years (p=0.004), secondary infection (p=0.040), comorbidities (p<0.05), acute kidney injury (p<0.001), prolonged PT (p=0.022), multiple-organ dysfunctions (p<0.001), haematocrit >20% (p=0.001), rhabdomyolosis (p<0.001) and respiratory failure (p=0.007). Approximately half of the fatal cases in our study had prolonged hospital stay of greater than three days.ConclusionsThe results underscore the high proportion of dengue patients with prolonged hospital stay. Early identification of factors relating to prolonged hospitalisation and death will have obvious advantages in terms of appropriate decisions about treatment and management in high dependency units.

Project description:BackgroundOutcomes in well-resourced, intensive care units (ICUs) in Kenya are thought to be comparable to those in high-income countries (HICs) but risk-adjusted mortality data is unavailable. We undertook an evaluation of the Aga Khan University Hospital, Nairobi ICU to analyze patient clinical-demographic characteristics, compare the performance of Sequential Organ Failure Assessment (SOFA), delta-SOFA at 48 hours and Mortality Prediction Model-III (MPM-III) mortality prediction systems, and identify factors associated with increased risk of mortality.MethodsA retrospective cohort study was conducted of adult patients admitted to the ICU between January 2015 and September 2017. SOFA and MPM-III scores were determined at admission and SOFA repeated at 48 hours.ResultsApproximately 33% of patients did not meet ICU admission criteria. Mortality among the population of critically ill patients in the ICU was 31.7%, most of whom were male (61.4%) with a median age of 53.4 years. High adjusted odds of mortality were found among critically ill patients with leukemia (aOR 6.32, p<0.01), tuberculosis (aOR 3.96, p<0.01), post-cardiac arrest (aOR 3.57, p<0.01), admissions from the step-down unit (aOR 3.13, p<0.001), acute kidney injury (aOR 2.97, p<0.001) and metastatic cancer (aOR 2.45, p = 0.04). The area under the receiver-operating characteristic (ROC) curve of admission SOFA was 0.77 (95% CI, 0.73-0.81), MPM-III 0.74 (95% CI, 0.69-0.79), delta-SOFA 0.69 (95% CI, 0.63-0.75) and 48-hour SOFA 0.83 (95% CI, 0.79-0.87). The difference between SOFA at 48 hours and admission SOFA, MPM-III and delta-SOFA was statistically significant (chi2 = 17.1, 24.2 and 26.5 respectively; p<0.001). Admission SOFA, MPM-III and 48-hour SOFA were well calibrated (p >0.05) while delta-SOFA was borderline (p = 0.05).ConclusionMortality among the critically ill was higher than expected in this well-resourced ICU. 48-hour SOFA performed better than admission SOFA, MPM-III and delta-SOFA in our cohort. While a large proportion of patients did not meet admission criteria but were boarded in the ICU, critically ill patients stepped-up from the step-down unit were unlikely to survive. Patients admitted following a cardiac arrest, and those with advanced disease such as leukemia, stage-4 HIV and metastatic cancer, had particularly poor outcomes. Policies for fair allocation of beds, protocol-driven admission criteria and appropriate case selection could contribute to lowering the risk of mortality among the critically ill to a level on par with HICs.

Project description:BackgroundWe aimed to evaluate the clinical usefulness of qSOFA as a risk stratification tool for patients admitted with infection compared to traditional SIRS criteria or our triage system; the Rapid Emergency Triage and Treatment System (RETTS).MethodsThe study was an observational cohort study performed at one Emergency Department (ED) in an urban university teaching hospital in Norway, with approximately 20,000 visits per year. All patients >16 years presenting with symptoms or clinical signs suggesting an infection (n?=?1535) were prospectively included in the study from January 1 to December 31, 2012. At arrival in the ED, vital signs were recorded and all patients were triaged according to RETTS vital signs, presenting infection, and sepsis symptoms. These admission data were also used to calculate qSOFA and SIRS. Treatment outcome was later retrieved from the patients' electronic records (EPR) and mortality data from the Norwegian population registry.ResultsOf the 1535 admitted patients, 108 (7.0%) fulfilled the Sepsis2 criteria for severe sepsis. The qSOFA score ?2 identified only 33 (sensitivity 0.32, specificity 0.98) of the patients with severe sepsis, whilst the RETTS-alert???orange identified 92 patients (sensitivity 0.85, specificity 0.55). Twenty-six patients died within 7 days of admission; four (15.4%) of them had a qSOFA ?2, and 16 (61.5%) had RETTS???orange alert. Of the 68 patients that died within 30 days, only eight (11.9%) scored ?2 on the qSOFA, and 45 (66.1%) had a RETTS???orange alert.DiscussionIn order to achieve timely treatment for sepsis, a sensitive screening tool is more important than a specific one. Our study is the fourth study were qSOFA finds few of the sepsis cases in prehospital or at arrival to the ED. We add information on the RETTS triage system, the two highest acuity levels together had a high sensitivity (85%) for identifying sepsis at arrival to the ED - and thus, RETTS should not be replaced by qSOFA as a screening and trigger tool for sepsis at arrival.ConclusionIn this observational cohort study, qSOFA failed to identify two thirds of the patients admitted to an ED with severe sepsis. Further, qSOFA failed to be a risk stratification tool as the sensitivity to predict 7-day and 30-day mortality was low. The sensitivity was poorer than the other warning scores already in use at the study site, RETTS-triage and the SIRS criteria.

Dataset Information

The prehospital quick SOFA score is associated with in-hospital mortality in noninfected patients: A retrospective, cross-sectional study.

Publications

The prehospital quick SOFA score is associated with in-hospital mortality in noninfected patients: A retrospective, cross-sectional study.

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