scholarly journals Respiratory Parameter Has A Great Impact in Determining Sepsis Condition in COVID-19 Patients at Saiful Anwar Hospital Malang: Case Report

2020 ◽  
Vol 7 (1A) ◽  
pp. 176-180
Author(s):  
Caesar Ensang Timuda ◽  
Ungky Agus Setyawan ◽  
Susanthy Djajalaksana
Keyword(s):  
Cohort Study ◽  
Case Report ◽  
Sequential Organ Failure Assessment ◽  
Prospective Cohort Study ◽  
Sofa Score ◽  
Prospective Cohort ◽  
Virus Disease ◽  
Surviving Sepsis Campaign ◽  
Respiratory Parameter ◽  
Failure Assessment

To describe Sequential Organ Failure Assessment (SOFA) Score parameters which have a great impact in the condition of sepsis in Corona Virus Disease-19 (COVID-19) patients and comorbidities that aggravate the patient's condition, we conducted a prospective cohort study in adult patients with sepsis and confirmed COVID-19 cases. We conducted a prospective cohort study in confirmed COVID-19 patients with sepsis who were admitted at Saiful Anwar Hospital Malang at March 10th–April 21st 2020. Diagnosis of sepsis is based on the Surviving Sepsis Campaign-III criteria. We found 6 COVID-19 confirmed patients with sepsis. There is an increased respiratory parameter in SOFA Score in these patients. Therefore, respiratory parameter of the SOFA score has a great impact in determining sepsis condition among confirmed COVID-19 patients. Keywords: COVID-19, Sepsis, SOFA Score

Outcomes of the Surviving Sepsis Campaign in intensive care units in the USA and Europe: a prospective cohort study

2012 ◽  
Vol 12 (12) ◽  
pp. 919-924 ◽  
Author(s):  
Mitchell M Levy ◽  
Antonio Artigas ◽  
Gary S Phillips ◽  
Andrew Rhodes ◽  
Richard Beale ◽  
...  
Keyword(s):  
Cohort Study ◽  
Intensive Care ◽  
Intensive Care Units ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Surviving Sepsis Campaign ◽  
The Usa

scholarly journals Predictive Value of Neutrophil to Lymphocyte Ratio for Disease Deterioration and Serious Adverse Outcomes in Patients with COVID-19: A Prospective Cohort Study

2020 ◽  
Author(s):  
Zhi-Yong Zeng ◽  
Gong-Ping Chen ◽  
Jiang-Nan Wu
Keyword(s):  
Cohort Study ◽  
Hospital Admission ◽  
Clinical Outcomes ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Virus Disease ◽  
Adverse Outcomes ◽  
Neutrophil To Lymphocyte Ratio ◽  
Predictive Values ◽  
Lymphocyte Ratio

Abstract Background: Early identification of patients who are at high risk of poor clinical outcomes is of great important in saving lives for patients with the novel corona virus disease 2019 (COVID-19) in context of limited medical resources. Objective: To evaluate value of the neutrophil to lymphocyte ratio (NLR), calculated at hospital admission and in isolation, for prediction of the subsequent presence of disease aggravation and serious clinical outcomes (e.g., shock, death).Methods: We designed a prospective cohort study of 352 hospitalized patients with COVID-19 between January 9 and February 26, 2020 in Yichang city, Hubei province. Patients with a NLR equal to and higher than the cutoff value derived from the receiver operating characteristic curve method were classified as the exposure group. The primary outcome was disease deterioration, defined as promotion of clinical classifications of the disease during hospitalization (e.g., moderate to severe/critical; severe to critical,). The secondary outcomes were shock and death occurred during the treatment.Results: During the follow up, 51 (14.5%) patients’ condition deteriorated, 15 patients (4.3%) complicated septic shock, and 15 patients (4.3%) died. NLR was higher in patients with deterioration than those without (median: 5.33 vs. 2.14, P <0.001), as well as between patients with and without serious clinical outcomes (shock vs. no shock: 6.19 vs. 2.25, P <0.001; death vs. survival: 7.19 vs. 2.25, P <0.001). NLR measured at hospital admission had high value in predicting subsequent disease deterioration, shock and death (all the areas under the curve > 0.80). The sensitivity of ≥ 2.6937 for the NLR in predicting subsequent disease deterioration, shock and death were 82.0% (95% confidence interval, 69.0 to 91.0), 93.3% (68.0 to 100), and 92.9% (66.0 to 100); and the corresponding negative predictive values were 95.7% (93.0 to 99.2), 99.5% (98.6 to 100) and 99.5% (98.6 to 100), respectively. Conclusions: The NLR measured at admission and in isolation can be used to effectively predict subsequent presence of disease deterioration and serious clinical outcomes for patients with COVID-19.

scholarly journals Real-Time Electronic Health Record Mortality Prediction During the COVID-19 Pandemic: A Prospective Cohort Study

2021 ◽  
Author(s):  
Peter D. Sottile ◽  
David Albers ◽  
Peter E. DeWitt ◽  
Seth Russell ◽  
J.N. Stroh ◽  
...  
Keyword(s):  
Cohort Study ◽  
Electronic Health Record ◽  
Real Time ◽  
Prospective Cohort Study ◽  
Sofa Score ◽  
Charlson Comorbidity Index ◽  
Prospective Cohort ◽  
Mortality Prediction ◽  
Health Record ◽  
Comorbidity Index

AbstractBackgroundThe SARS-CoV-2 virus has infected millions of people, overwhelming critical care resources in some regions. Many plans for rationing critical care resources during crises are based on the Sequential Organ Failure Assessment (SOFA) score. The COVID-19 pandemic created an emergent need to develop and validate a novel electronic health record (EHR)-computable tool to predict mortality.Research QuestionsTo rapidly develop, validate, and implement a novel real-time mortality score for the COVID-19 pandemic that improves upon SOFA.Study Design and MethodsWe conducted a prospective cohort study of a regional health system with 12 hospitals in Colorado between March 2020 and July 2020. All patients >14 years old hospitalized during the study period without a do not resuscitate order were included. Patients were stratified by the diagnosis of COVID-19. From this cohort, we developed and validated a model using stacked generalization to predict mortality using data widely available in the EHR by combining five previously validated scores and additional novel variables reported to be associated with COVID-19-specific mortality. We compared the area under the receiver operator curve (AUROC) for the new model to the SOFA score and the Charlson Comorbidity Index.ResultsWe prospectively analyzed 27,296 encounters, of which 1,358 (5.0%) were positive for SARS-CoV-2, 4,494 (16.5%) included intensive care unit (ICU)-level care, 1,480 (5.4%) included invasive mechanical ventilation, and 717 (2.6%) ended in death. The Charlson Comorbidity Index and SOFA scores predicted overall mortality with an AUROC of 0.72 and 0.90, respectively. Our novel score predicted overall mortality with AUROC 0.94. In the subset of patients with COVID-19, we predicted mortality with AUROC 0.90, whereas SOFA had AUROC of 0.85.InterpretationWe developed and validated an accurate, in-hospital mortality prediction score in a live EHR for automatic and continuous calculation using a novel model, that improved upon SOFA.Take Home PointsStudy QuestionCan we improve upon the SOFA score for real-time mortality prediction during the COVID-19 pandemic by leveraging electronic health record (EHR) data?ResultsWe rapidly developed and implemented a novel yet SOFA-anchored mortality model across 12 hospitals and conducted a prospective cohort study of 27,296 adult hospitalizations, 1,358 (5.0%) of which were positive for SARS-CoV-2. The Charlson Comorbidity Index and SOFA scores predicted all-cause mortality with AUROCs of 0.72 and 0.90, respectively. Our novel score predicted mortality with AUROC 0.94.InterpretationA novel EHR-based mortality score can be rapidly implemented to better predict patient outcomes during an evolving pandemic.

scholarly journals Sequential Organ Failure Assessment Score for Prediction of Mortality of Patients With Rhabdomyolysis Following Exertional Heatstroke: A Longitudinal Cohort Study in Southern China

2021 ◽  
Vol 8 ◽  
Author(s):  
Ming Wu ◽  
Conglin Wang ◽  
Zheying Liu ◽  
Zhifeng Liu
Keyword(s):  
Cohort Study ◽  
Sequential Organ Failure Assessment ◽  
Organ Failure ◽  
Sofa Score ◽  
Southern China ◽  
Heat Stroke ◽  
Organ Injury ◽  
Medical Emergency ◽  
Prediction Of Mortality ◽  
Failure Assessment

Background: Heatstroke is a medical emergency that causes multi-organ injury and death without intervention, but limited data are available on the illness scores in predicting the outcomes of exertional heat stroke (EHS) with rhabdomyolysis (RM). The aim of our study was to investigate the Sequential Organ Failure Assessment (SOFA) score in predicting mortality of patients with RM after EHS.Methods: A retrospective cohort study was performed, which included all patients with EHS admitted into the intensive care unit (ICU) of General Hospital of Southern Theater Command of Peoples Liberation Army from January 2008 to June 2019. RM was defined as creatine kinase (CK) &gt; 1,000 U/L. Data, including the baseline data at admission, vital organ function indicators, and 90-day mortality, were reviewed.Results: A total of 176 patients were enrolled; among them, 85 (48.3%) had RM. Patients with RM had a significantly higher SOFA score (4.0 vs. 3.0, p = 0.021), higher occurrence rates of disseminated intravascular coagulation (DIC) (53.1 vs. 18.3%, p &lt; 0.001) and acute liver injury (ALI) (21.4 vs. 5.5%, p = 0.002) than patients with non-RM. RM was positively correlated with ALI and DIC, and the correlation coefficients were 0.236 and 0.365, respectively (both p-values &lt;0.01). Multivariate logistics analysis showed that the SOFA score [odds ratio (OR) 1.7, 95% CI 1.1–2.6, p = 0.024] was the risk factor for 90-day mortality in patients with RM after EHS, with the area under the curve (AUC) 0.958 (95% CI 0.908–1.000, p &lt; 0.001) and the optimal cutoff 7.5 points.Conclusions: Patients with RM after EHS have severe clinical conditions, which are often accompanied by DIC or ALI. The SOFA score could predict the prognosis of patients with RM with EHS. Early treatment strategies based on decreasing the SOFA score at admission may be pivotal to reduce the 90-day mortality of patients with EHS.

Organizational Justice and Health of Employees: Prospective Cohort Study.

2013 ◽  
Author(s):  
Mika Kivimaki ◽  
Marko Elovainio ◽  
Jussi Vahtera ◽  
Marianna Virtanen ◽  
Jane E. Ferrie
Keyword(s):  
Cohort Study ◽  
Organizational Justice ◽  
Prospective Cohort Study ◽  
Prospective Cohort
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