Medicine
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Observational Study
Observational study of in-hospital mortality risk from bladder cancer: Five years of experience at a tertiary referral hospital in Indonesia.
Bladder cancer (BC) is a neoplasm arising from the bladder. It requires appropriate management and its prognosis depends on many factors. This study aimed to analyze the factors that influence outcomes in BC management. ⋯ Based on multivariate analysis, the route of admission (odds ratio [OR] 0.19), irregular visit (OR 6.21), metastasis (OR 3.58), radiotherapy (OR 21.12), and traditional medicine (OR 0.21) were independent factors of in-hospital mortality. The mortality rate for BC was considerably high. Irregular visits, metastasis, type 2 diabetes, and radiotherapy were independent risk factors for mortality.
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Gitelman syndrome (GS) is a rare autosomal recessive inherited salt-losing tubulopathy, typically devoid of hypercalcemia. Herein, we described one patient of GS presenting with hypercalcemia concomitant with primary hyperparathyroidism (PHPT). ⋯ PHPT should be taken into consideration when patients diagnosed with GS exhibit hypercalcemia. While the serum potassium level readily exceeded the target threshold, correcting hypomagnesemia proved challenging, primarily because PHPT augments urinary magnesium excretion.
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It is still very difficult to diagnose pertussis based on a doctor's experience. Our aim is to develop a model based on machine learning algorithms combined with biochemical blood tests to diagnose pertussis. A total of 295 patients with pertussis and 295 patients with non-pertussis lower respiratory infections between January 2022 and January 2023, matched for age and gender ratio, were included in our study. ⋯ The optimal features and 3 machine learning algorithms including K-nearest neighbor, support vector machine, and eXtreme Gradient Boosting (XGBoost) were used to develop diagnostic models. Using univariate logistic regression analysis, 18 out of the 27 features were considered optimal features associated with pertussis The XGBoost model was significantly superior to both the support vector machine model (Delong test, P = .01) and the K-nearest neighbor model (Delong test, P = .01), with the area under the receiver operating characteristic curve of 0.96 and an accuracy of 0.923. Our diagnostic model based on blood biochemical test results at admission and XGBoost algorithm can help doctors effectively diagnose pertussis.
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Smoking behaviors, physical activities, and pulmonary diseases have been revealed to be associated with COVID-19 severity through observational research. The possible causative effect remains undetermined. To investigate this, we thus carried out a Mendelian randomization (MR) analysis. ⋯ The association for lifetime smoking index remained consistent with severe COVID-19, hospitalized COVID-19, and COVID-19 susceptibility in multivariable MR analysis. Genetic liability to lifetime smoking index mediated the interstitial lung disease effects on severe COVID-19 risk (21.0%) and hospitalized COVID-19 risk (14.4%). This study identified several smoking behaviors, duration of vigorous activity per day, and interstitial lung disease that may be causally related to COVID-19 severity.
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Oral squamous cell carcinoma (OSCC) is an aggressive oral malignancy. Metastasis and postoperative recurrence are major causes of a high mortality of OSCC. The landscape of immune cells in OSCC remained to be comprehensively explored. ⋯ CMKLR1 + macrophages in OSCC were identified as a crucial cell subpopulation of macrophages in inhibiting tumor progression. Adjusting the infiltration abundance and cell activity of CMKLR1 + macrophages may be a novel therapeutic direction to improve OSCC prognosis.