A prediction model for prognosis of nephrotic syndrome with tuberculosis in intensive care unit patients: a nomogram based on the MIMIC-IV v2.2 database.

Background: Currently, a scarcity of prognostic research exists that concentrates on patients with nephrotic syndrome (NS) who also have tuberculosis. The purpose of this study was to assess the in-hospital mortality status of NS patients with tuberculosis, identify crucial risk factors, and create a sturdy prognostic prediction model that can improve disease evaluation and guide clinical decision-making. Methods: We utilized the Medical Information Mart for Intensive Care IV version 2.2 (MIMIC-IV v2.2) database to include 1,063 patients with NS complicated by TB infection. Confounding factors included demographics, vital signs, laboratory indicators, and comorbidities. The Least Absolute Shrinkage and Selection Operator (LASSO) regression and the diagnostic experiment the receiver operating characteristic (ROC) curve analyses were used to select determinant variables. A nomogram was established by using a logistic regression model. The performance of the nomogram was tested and validated using the concordance index (C-index) of the ROC curve, calibration curves, internal cross-validation, and clinical decision curve analysis. Results: The cumulative in-hospital mortality rate for patients with NS and TB was 18.7%. A nomogram was created to predict in-hospital mortality, utilizing Alb, Bun, INR, HR, Abp, Resp., Glu, CVD, Sepsis-3, and AKI stage 7 days. The area under the curve of the receiver operating characteristic evaluation was 0.847 (0.812-0.881), with a calibration curve slope of 1.00 (0.83-1.17) and a mean absolute error of 0.013. The cross-validated C-index was 0.860. The decision curves indicated that the patients benefited from this model when the risk threshold was 0.1 and 0.81. Conclusion: Our clinical prediction model nomogram demonstrated a good predictive ability for in-hospital mortality among patients with NS combined with TB. Therefore, it can aid clinicians in assessing the condition, judging prognosis, and making clinical decisions for such patients.

[Expressions of IL-18Ralpha and IL-18Rbeta on rat primary renal tubular epithelial cells].

AIM: To detect the expressions of the IL-18Ralpha mRNA and IL-18Rbeta mRNA in primary rat renal tubular epithelial cells (RTECs). METHODS: The culture of primary RTECs was performed by renal tubular segment sticking mass method. The cellular type was identified by immunocytochemical staining. The IL-18Ralpha mRNA and IL-18Rbeta mRNA expressions in RTECs were detected by RT-PCR. RESULTS: The result of immunocytochemical staining proved that the cultured cells were RTECs, IL-18Ralpha mRNA and IL-18Rbeta mRNA were detected in RTECs. CONCLUSION: IL-18Ralpha mRNA and IL-18Rbeta mRNA are expressed in RTECs, which provide the experimental basis for exploring IL-18R role in renal interstitial fibrosis.