Aims: To investigate initial Sequential Organ Failure Assessment (SOFA) score of patients in Intensive Care Unit (ICU), who were diagnosed with infectious disease, as an indicator of multiple organ dysfunction and to examine if initial SOFA score is a better mortality predictor compared to Simplified Acute Physiology Score (SAPS).
Materials And Methods: Hospital-based study done in medical ICU, from June to September 2014 with a sample size of 48. Patients aged 18 years and above, diagnosed with infectious disease were included. Patients with history of chronic illness (renal/hepatic/pulmonary/ cardiovascular), diabetes, hypertension, chronic obstructive pulmonary disease, heart disease, those on immunosuppressive therapy/chemoradiotherapy for malignancy and patients in immunocompromised state were excluded. Blood investigations were obtained. Six organ dysfunctions were assessed using initial SOFA score and graded from 0 to 4. SAPS was calculated as the sum of points assigned to each of the 17 variables (12 physiological, age, type of admission, and three underlying diseases). The outcome measure was survival status at ICU discharge.
Results: We categorized infectious diseases into dengue fever, leptospirosis, malaria, respiratory tract infections, and others which included undiagnosed febrile illness, meningitis, urinary tract infection and gastroenteritis. Initial SOFA score was both sensitive and specific; SAPS lacked sensitivity. We found no significant association between age and survival status. Both SAPS and initial SOFA score were found to be statistically significant as mortality predictors. There is significant association of initial SOFA score in analyzing organ dysfunction in infectious diseases (P < 0.001). SAPS showed no statistical significance. There was statistically significant (P = 0.015) percentage of nonsurvivors with moderate and severe dysfunction, based on SOFA score. Nonsurvivors had higher SAPS but was not statistically significant (P = 0.094).
Conclusions: Initial SOFA score is a superior mortality predictor. It easily measures degree of organ dysfunction in infectious diseases and complements other scoring systems.
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http://dx.doi.org/10.4103/0972-5229.180041 | DOI Listing |
Clin Nutr ESPEN
January 2025
Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China; Chongqing Municipal Health Commission Key Laboratory of Intelligent Clinical Nutrition and Transformation, Chongqing, 400042, China. Electronic address:
Background: Acute pancreatitis (AP) is a common acute abdominal condition that can lead to severe complications. Malnutrition significantly impacts the prognosis of patients with AP, so effective tools are needed to identify those at high nutritional risk. This study validated the ability of the modified NUTRIC score to predict all-cause mortality and identify nutritional risk in patients with acute pancreatitis in the ICU.
View Article and Find Full Text PDFEur J Med Res
January 2025
Department of Thoracic Medicine, Chang Gung Memorial Hospital, Linkou Branch, No. 5, Fu-Shing St., GuiShan, Taoyuan, Taiwan.
Background: This study compared the ventilatory variables and computed tomography (CT) features of patients with coronavirus disease 2019 (COVID-19) versus those of patients with pulmonary non-COVID-19-related acute respiratory distress syndrome (ARDS) during the early phase of ARDS.
Methods: This prospective, observational cohort study of ARDS patients in Taiwan was performed between February 2017 and June 2018 as well as between October 2020 and January 2024. Analysis was performed on clinical characteristics, including consecutive ventilatory variables during the first week after ARDS diagnosis.
Res Social Adm Pharm
January 2025
Laboratory of Teaching and Research in Social Pharmacy (LEPFS), Department of Pharmacy, Federal University of Sergipe, Cidade Universitária "Prof. José Aloísio Campos", Jardim Rosa Elze, São Cristóvão, SE, CEP: 49100-000, Brazil. Electronic address:
Background: The identification and reduction of drug-related problems (DRPs) through DRP-oriented medical records during the hospitalization of critically impatients can optimize health indicators, such as length of hospital stay.
Objective: To determine the effect of medical records focused on drug-related problems on the duration of stay for patients in intensive care units.
Method: A randomized controlled clinical trial was conducted with patients assigned to intervention or the usual care groups involving clinical pharmacists.
J Am Med Inform Assoc
January 2025
Department of Computer Science, Duke University, Durham, NC 27708, United States.
Objective: Prediction of mortality in intensive care unit (ICU) patients typically relies on black box models (that are unacceptable for use in hospitals) or hand-tuned interpretable models (that might lead to the loss in performance). We aim to bridge the gap between these 2 categories by building on modern interpretable machine learning (ML) techniques to design interpretable mortality risk scores that are as accurate as black boxes.
Material And Methods: We developed a new algorithm, GroupFasterRisk, which has several important benefits: it uses both hard and soft direct sparsity regularization, it incorporates group sparsity to allow more cohesive models, it allows for monotonicity constraint to include domain knowledge, and it produces many equally good models, which allows domain experts to choose among them.
J Intensive Med
January 2025
Medical Intensive Care Unit, APHP Saint-Louis University Hospital, Paris, France.
Background: Cancer patients who are exposed to sepsis and had previous chemotherapy may have increased severity. Among chemotherapeutic agents, anthracyclines have been associated with cardiac toxicity. Like other chemotherapeutic agents, they may cause endothelial toxicity.
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