Comparative validity of the Assess Respiratory Risk in Surgical Patients in Catalonia (ARISCAT) score and Surgical Lung Injury Prediction (SLIP-2) in predicting the incidence of postoperative pulmonary complications in thoracic surgery.
Introduction: Postoperative pulmonary complications (PPCs) are a significant cause of morbidity and mortality following thoracic surgery. Early identification of at-risk patients allows for timely intervention and improved outcomes. Several risk stratification tools, such as the Assess Respiratory R...
| Publicado en: | Critical Care & Shock Vol. 28; no. 5; pp. 215 - 225 |
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| Autores principales: | , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Critical Care & Shock Journal
2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=188342750&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 188342750 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14107767 6CKO jtl: Critical Care & Shock issn: 14107767 maglogo: N pubinfo: dt: 2025 vid: 28 iid: 5 pid: 45459 pub: Critical Care & Shock Journal place: Houston, Texas artinfo: ui: 188342750 188342750 188342750 188342750 ppf: 215 ppct: 10 formats: fmt: @attributes: type: P tig: atl: Comparative validity of the Assess Respiratory Risk in Surgical Patients in Catalonia (ARISCAT) score and Surgical Lung Injury Prediction (SLIP-2) in predicting the incidence of postoperative pulmonary complications in thoracic surgery. aug: au: Kamaluddin, Supratman Salahuddin, Andi Adil, Andi Hisbullah Musba, Andi Muhammad Takdir Dat, Madonna Damayanthie affil: Department of Anesthesiology, Intensive Therapy, and Pain Management, Faculty of Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia sug: subj: Postoperative Complications Risk Factors Risk Assessment Lung Injury Risk Factors Surgical Patients Psychosocial Factors Predictive Validity Evaluation Thoracic Surgery Adverse Effects Clinical Assessment Tools Evaluation Prediction Models Evaluation Human Male Female Adolescence Adult Middle Age Retrospective Design Record Review Nonexperimental Studies Comparative Studies Catalonia Sensitivity and Specificity Incidence ROC Curve Confidence Intervals Reference Values Tertiary Health Care Mann-Whitney U Test Chi Square Test Prospective Studies Oxygen Saturation Evaluation Treatment Duration Pleural Effusion Risk Factors Respiratory Tract Infections Risk Factors Odds Ratio Age Factors T-Tests Fisher's Exact Test Descriptive Statistics Data Analysis Software Adolescent: 13-18 years Adult: 19-44 years Middle Aged: 45-64 years Male Female ab: Introduction: Postoperative pulmonary complications (PPCs) are a significant cause of morbidity and mortality following thoracic surgery. Early identification of at-risk patients allows for timely intervention and improved outcomes. Several risk stratification tools, such as the Assess Respiratory Risk in Surgical Patients in Catalonia (ARISCAT) score and Surgical Lung Injury Prediction (SLIP-2) model, have been developed to predict PPCs. However, their comparative performance in thoracic surgery patients remains unclear. Objective: To compare the predictive validity of the ARISCAT and SLIP-2 models in predicting the occurrence of PPCs in patients undergoing thoracic surgery. Design: Retrospective observational study. Setting: Medical records of patients who underwent thoracic surgery at Wahidin Sudirohusodo Hospital, Makassar, from January 2023 to December 2024. Results: A total of 96 thoracic surgery patients were included in this study, with an overall PPC incidence of 66.7%. The ARISCAT score demonstrated an area under the curve (AUC) of 0.743 (95% CI: 0.634-0.852), with a cut-off value of 40.50, yielding a sensitivity of 70.3%, specificity of 68.8%, and accuracy of 69.79%. The SLIP-2 model showed an AUC of 0.706 (95% CI: 0.634-0.852), with a cut-off value of 17.50, a sensitivity of 59.4%, a specificity of 65.6%, and an accuracy of 61.46%. Conclusion: Both the ARISCAT and SLIP-2 scores are useful tools for predicting PPCs in patients undergoing thoracic surgery. However, the ARISCAT score demonstrated superior predictive validity and accuracy compared to SLIP-2 in this cohort. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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