Journals Information
Universal Journal of Public Health Vol. 13(4), pp. 1066 - 1075
DOI: 10.13189/ujph.2025.130429
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A Predictive Model for Intestinal Protozoal Infections Based on Clinical Characteristics and Social Determinants of Health of Cancer Patients Undergoing Chemotherapy
Jhons Fatriyadi Suwandi 1,*, Juspeni Kartika 2, Noviany Noviany 3, Agnes Kurniawan 4
1 Department of Microbiology and Parasitology, Faculty of Medicine, University of Lampung, Indonesia
2 Department of Internal Medicine, Faculty of Medicine, University of Lampung / Dr. H Abdul Moeloek General Hospital of Lampung Province, Indonesia
3 Department of Chemistry, Faculty of Mathematics and Natural Sciences, University of Lampung, Indonesia
4 Department of Parasitology, Faculty of Medicine, University of Indonesia, Indonesia
ABSTRACT
Intestinal protozoan infection is a major public health concern in Indonesia, particularly among immunocompromised individuals like chemotherapy-treated cancer patients. This study aimed to develop a predictive model for infection risk based on social determinants and clinical characteristics. A cross-sectional study was conducted at Dr. H. Abdul Moeloek General Hospital, Lampung Province, Indonesia, in 2022, involving questionnaires and stool sample analysis. Microscopic examination was performed using sedimentation, iodine staining, and modified Ziehl-Neelsen tests. Statistical analysis showed significant correlations between infection and marital status, as well as erythrocyte levels (p < 0.05). Logistic regression identified key predictors, including age, address, temperature, cancer duration, erythrocytes, hemoglobin, hematocrit, and monocytes. The model explained 47.4% of infection variability (Nagelkerke R2 = 0.474) and demonstrated strong predictive performance (AUC = 85.0%, Hosmer-Lemeshow p = 0.570). Infection probability ranged from 0.35% (low-risk) to 99.77% (high-risk). The dominant risk factors were address, cancer duration, erythrocytes, and hemoglobin, while age, temperature, hematocrit, and monocytes acted as confounders. By targeting these risk factors, healthcare providers can develop effective interventions to reduce the burden of intestinal protozoan infection in this vulnerable population.
KEYWORDS
Protozoal Infection, Entamoeba histolytica/dispar, Blastocystis sp, Malignancy, Immunosuppression
Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Jhons Fatriyadi Suwandi , Juspeni Kartika , Noviany Noviany , Agnes Kurniawan , "A Predictive Model for Intestinal Protozoal Infections Based on Clinical Characteristics and Social Determinants of Health of Cancer Patients Undergoing Chemotherapy," Universal Journal of Public Health, Vol. 13, No. 4, pp. 1066 - 1075, 2025. DOI: 10.13189/ujph.2025.130429.
(b). APA Format:
Jhons Fatriyadi Suwandi , Juspeni Kartika , Noviany Noviany , Agnes Kurniawan (2025). A Predictive Model for Intestinal Protozoal Infections Based on Clinical Characteristics and Social Determinants of Health of Cancer Patients Undergoing Chemotherapy. Universal Journal of Public Health, 13(4), 1066 - 1075. DOI: 10.13189/ujph.2025.130429.