Evidence map›Paper›PMID 41634632›Full record

Observational studyBMC infectious diseases2026

Development and temporal validation of SCRAPS scoring tool to predict poor prognosis in gram negative sepsis patients requiring early intensive care or high dependency unit admission.

Asha K Rajan, Lavanya Swaminathan, Freya F Dsa, Srushti Kesarkar, Elaine Z Fernandes, Neeraja Raju, Souvik Chaudhuri, Vishal Shanbhag, Vandana Kalwaje Eshwara, Vijayanarayana Kunhikatta and 1 more

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In one paragraph

Observational study in BMC infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Asha K RajanDepartment of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Lavanya SwaminathanDepartment of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Freya F DsaDepartment of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Srushti KesarkarDepartment of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Elaine Z FernandesDepartment of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Neeraja RajuDepartment of Microbiology, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Souvik ChaudhuriDepartment of Critical Care Medicine, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Vishal ShanbhagDepartment of Critical Care Medicine, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Vandana Kalwaje EshwaraDepartment of Microbiology, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Vijayanarayana KunhikattaDepartment of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India. vijayanarayana.k@manipal.edu.ORCID http://orcid.org/0000-0002-9580-3476
Girish ThungaDepartment of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India. girish.thunga@manipal.edu.ORCID http://orcid.org/0000-0003-1257-969X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGram-negative sepsis (GNS) is associated with high global mortality rates, particularly in intensive care unit (ICU) settings. Despite the availability of various sepsis severity scores, there is a lack of predictive tools tailored for GNS. Our study aimed to develop and temporally validate a novel prediction scoring tool for poor prognosis in GNS patients requiring early ICU or High-dependency unit (HDU) admission.

methodsThis retrospective observational study included 312 adult patients with GNS admitted to the ICU or HDU of a tertiary care hospital from January 2016 to December 2020. Primary outcome of interest was poor prognosis. Candidate variables were grouped into demographics, comorbidities, clinical presentation at admission, laboratory data, resistance pattern, and early complications. Independent predictors of poor prognosis were identified using multivariate logistic and cox regression analysis. A prediction scoring tool was developed and temporally validated on a prospective cohort (October-December 2024). All the analysis was conducted using SPSS version 29.0. The study was meticulously designed, implemented, and documented in compliance with the TRIPOD checklist.

resultsAmong 312 patients with GNS in the development cohort, 71.4% patients had poor prognosis. We developed an 8-point predictive score comprising of independent predictors: APACHE II score > 18, SOFA score > 7, CRP > 88 mg/L, carbapenem resistance in the first isolate, septic shock within 24 h and RRT requirement within 48 h of admission. SCRAPS score demonstrated strong predictive performance with an area under the curve of 0.801 in both the development and validation cohorts. SCRAPS score ≥ 5 was associated with increased risk of poor prognosis and significantly lower survival (Kaplan-Meier, log rank test, p < 0.001).

conclusionThe SCRAPS score ≥ 5 is a reliable, practical tool for predicting poor prognosis in GNS patients. Its early application could support timely clinical decision-making, improving patient outcomes in the ICU and HDU settings. CLINICAL TRIAL NUMBER: Not applicable

Indexed as

Gram-Negative Bacterial InfectionsSepsisAgedCritical CareFemaleHumansIntensive Care UnitsMaleMiddle AgedPrognosisRetrospective StudiesSeverity of Illness IndexCarbapenem resistanceGram-negative sepsisPrediction modelRenal replacement therapySeptic shock

Identifiers

PMID41634632
PMCPMC12958660

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.