Systemic Inflammation and Malaria Comorbidity in Irritable Bowel Syndrome:A Cross-Sectional Study of 142 Yemeni Patients

Project Description: This project contains the complete dataset,analysis code, and supplementary materials for the study "Systemic Inflammation and Malaria Comorbidity in Irritable Bowel Syndrome: A Cross-Sectional Study of 142 Yemeni Patients." Study Overview: This cross-sectional observational study investigates the prevalence of malaria co-infection among patients with irritable bowel syndrome(IBS) in Yemen and evaluates systemic inflammatory biomarkers as potential diagnostic indicators. The study included 142 adult patients diagnosed with IBS according to Rome IV criteria, with malaria status confirmed by rapid diagnostic tests. Key Findings: · Malaria prevalence among IBS patients was 45.1% · IBS-D (diarrhea-predominant) and IBS-M (mixed) subtypes showed highest malaria positivity (52.1% and 50.0% respectively) · Malaria-positive patients exhibited distinct inflammatory profiles: elevated neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR), and reduced mean platelet volume (MPV) · PLR demonstrated excellent diagnostic performance for malaria detection (AUC = 0.89, sensitivity 84.4%, specificity 82.1%) Contents: · Dataset: Complete anonymized clinical and laboratory data for 142 patients · Code: Statistical analysis scripts (R and SPSS syntax) · Supplementary Materials: Study protocol, data collection forms, laboratory SOPs, ethical approvals, and comprehensive results tables · Documentation: Data dictionary, variable descriptions, and methodological details Clinical Implications: The findings suggest that inexpensive,readily available inflammatory biomarkers (particularly PLR) could enhance malaria screening in IBS patients in resource-limited settings. This research highlights the importance of integrated management for communicable and non-communicable diseases in endemic regions. Keywords: Irritable Bowel Syndrome,Malaria, Inflammation, NLR, PLR, MPV, Yemen, Co-infection, Biomarkers, Resource-limited Settings Access Information: Data are available under CC-BY 4.0 license.Researchers are encouraged to cite this dataset when using it for secondary analyses.