Predictive Value of Sequential Organ Failure Assessment, Quick Sequential Organ Failure Assessment, Acute Physiology and Chronic Health Evaluation II, and New Early Warning Signs Scores Estimate Mortality of COVID-19 Patients Requiring Intensive Care Unit

Asmarawati, Tri Pudy; Suryantoro, Satriyo Dwi; Rosyid, Alfian Nur; Marfiani, Erika; Windradi, Choirina; Mahdi, Bagus Aulia; Sutanto, Heri

doi:10.5005/jp-journals-10071-24170

Cited by 18 publications

(17 citation statements)

References 25 publications

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“…The study by Asmarawati et al published in this issue of the journal compared the utility of sequential organ failure assessment (SOFA), quick sequential organ failure assessment (qSOFA), acute physiology and chronic health evaluation (APACHE II), and new early warning signs (NEWS-2) scores estimate mortality of COVID-19 patients requiring intensive care unit (ICU). 3 We would like to underscore a few important observations about this study. Firstly, the 4 scoring systems used in the study are of diverse genre, some of them being used primarily as triaging/screening tools in high workload areas, in-patient wards (qSOFA and NEWS-2) to define the level of care, while SOFA is used to define the various organ dysfunction/failure, while APACHE II takes other factors also into account, like age, comorbid illnesses apart from physiological disturbances ( Table 1 ).…”

mentioning

confidence: 73%

General Severity of Illness Scoring Systems and COVID-19 Mortality Predictions: Is “Old Still Gold?”

Siddiqui¹,

Kulkarni²,

Patnaik³

2022

Indian Journal of Critical Care Medicine

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confidence: 73%

General Severity of Illness Scoring Systems and COVID-19 Mortality Predictions: Is “Old Still Gold?”

Siddiqui¹,

Kulkarni²,

Patnaik³

2022

Indian Journal of Critical Care Medicine

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“…APACHE-II ve SOFA skorları, kritik hastaları değerlendirmek ve mortalite tahmini için uzun yıllardır kullanılan skorlama sistemleridir (26). Her ne kadar birkaç çalışmada COVID-19 hastalarının mortalite tahminine yönelik yeni spesifik skorlama sistemleri kullanılmışsa da hâlen kritik hastalarda uzun yıllardır uygulanan tanıdık ve mevcut skorlama sistemleri COVID-19 hastalarının değerlendirilmesinde de yaygın olarak kullanılmaktadır (27)(28)(29). Çalışmamızda literatürle uyumlu bir şekilde APACHE-II ve SOFA skorları sağ kalan hastalara göre ölen hastalarda anlamlı yüksek bulunmuş ve bu iki skorun çok değişkenli regresyon analizinde mortaliteyi tahmin etmede anlamlı olarak etkili olduğu gösterilmiştir.…”

Section: Discussionunclassified

Evaluation of Risk Factors Affecting Mortality in Patients with the Diagnosis of COVID-19 in the Secondary Intensive Care Unit: A Single Center Retrospective Study

Erel¹,

Yenigün²,

Özterlemez³

2023

JARSS

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Objective: In the early stages of the worldwide coronavirus disease 2019 (COVID-19) pandemic, there aren’t many secondary intensive care unit publications. In our study, it was aimed to calculate the mortality rate and to determine the factors affecting mortality by retrospectively evaluating the data of COVID-19 patients hospitalized in a secondary intensive care unit. Methods: The files and records of patients aged 18 years and older who were positive for reverse transcriptase-polymerase chain reaction and followed in the secondary COVID-19 intensive care unit between January 2020 and July 2021, and their records in the hospital information system, were evaluated retrospectively. Demographic data, laboratory parameters, Sequential Organ Failure Assessment (SOFA) and Acute Physiology and Chronic Health Evaluation II (APACHE II) scores and clinical data of the patients were recorded. The data of living and deceased patients were compared. Regression analysis was performed for data with risk factors. Results: Archive records of a total of 227 patients were reviewed. The all cause mortality rate was 53.3%, and the median length of stay in the intensive care unit was 5 years. There was a significant difference in age (p<0.001), need for invasive mechanical ventilation (p<0.001), hospitalization saturation (p=0.016), ferritin (p<0.001), D-Dimer p(<0.001), APACHE II (p<0.001) and SOFA (p<0.001) scores between the living and deceased patient groups. Conclusion: Due to the increased number of patients and workload at the beginning of the COVID-19 pandemic, patient follow-up was carried out under difficult conditions in all intensive care units, especially in the secondary care units. In this period, we think that easily accessible biomarkers that can be used to predict mortality in secondary intensive care units may play a role in planning the treatment and referral processes of patients, and may have positive effects on patient outcomes by using the facilities more efficiently. Keywords: COVID-19, intensive care unit, mortality, risk factor

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“…It was developed and modified from a previous study database for specific healthcare workers. 18,19 Universitas Airlangga Hospital Ethical Committee had approved this study with the ethical clearance number: 174/KEP/2021.…”

Section: Population Studiesmentioning

confidence: 99%

Analysis of contact tracing surveillance for COVID-19 among healthcare workers in secondary referral hospital, Indonesia

et al. 2022

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Background: Healthcare workers (HCWs) are more vulnerable to COVID-19 infection. Tracing and screening cases among healthcare workers are essential to overcome the spread of COVID-19. We held surveillance at the second-referral hospital in Surabaya, Indonesia, to inspect the associating factors of infected HCWs. Methods: From 776 HCWs, we conducted a structured retrospective review of all COVID-19-confirmed HCWs and ones having contact with COVID-19 patients between February-July 2021. We associated general characteristics (i.e age, gender, working sites, etc) of the sample with the positive cases, analyzed the vaccination status, then did bivariate and multivariate regression logistic analyses to determine related factors putting HCWs at risk for COVID-19 infection. Results: Bivariate analysis significantly revealed that 72.86% patients had a close contact (OR = 2.61; p<0.05), with medical staffs as the most frequent source (85.71%; OR = 2.19; p=0.033), for > 15 minutes contact duration (90%; OR = 1.1; p<0.05). Healthcare workers wearing proper PPE (N-95 and face shields) were significantly less exposed to COVID-19 (OR = 0.47; p<0.05; and OR = 0.46; p<0.05). Even fully-vaccinated samples were still prone to infection. (OR=1.25; p= 0.042). Common symptoms consisted of fever, rhinorrhea, sore throat, and vomiting (p=0.025l p=0.002; p<0.05; p=0.002). Multivariate regression logistic analysis disclosed that the use of N95 masks, contact duration >15 minutes, and the vaccine were the most influential factors (aOR = 1.72. 95% CI (1.029-2.88); aOR = 3.92. 95% CI (1.75-8.78); aOR = 0.39. 95% CI (0.13-0.82 )) Conclusions: Close contact, lack of compliance in wearing N95 masks, and unvaccinated status are risk factors for COVID-19 exposure to HCWs; thus, to achieve maximum prevention of intra-hospital transmission, the use of N-95 masks, contact avoidance, and vaccination, along with immediate tracing and strict health-protocols are all compulsory.

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Predictive Value of Sequential Organ Failure Assessment, Quick Sequential Organ Failure Assessment, Acute Physiology and Chronic Health Evaluation II, and New Early Warning Signs Scores Estimate Mortality of COVID-19 Patients Requiring Intensive Care Unit

Cited by 18 publications

References 25 publications

General Severity of Illness Scoring Systems and COVID-19 Mortality Predictions: Is “Old Still Gold?”

General Severity of Illness Scoring Systems and COVID-19 Mortality Predictions: Is “Old Still Gold?”

Evaluation of Risk Factors Affecting Mortality in Patients with the Diagnosis of COVID-19 in the Secondary Intensive Care Unit: A Single Center Retrospective Study

Analysis of contact tracing surveillance for COVID-19 among healthcare workers in secondary referral hospital, Indonesia

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