CRP is an important factor affecting the timing of surgical drainage of ureteral calculi with upper urinary tract infection / 现代泌尿外科杂志

【Objective】 To explore the timing of surgical drainage for ureteral calculi with upper urinary tract infection. 【Methods】 Clinical data of 117 cases of ureteral calculi with upper urinary tract infection treated in our hospital during Jan.2018 and Jan.2020 were retrospectively analyzed. According to different treatment methods, the patients were divided into surgical drainage group and non-surgical drainage group. The patients’ age, gender, side of calculi, peak body temperature, time of onset, white blood cell (WBC) count, C-reactive protein (CRP) and other clinical indicators were compared between the two groups. The cutoff value of surgical drainage was determined with receiver operator characteristic (ROC) curve. 【Results】 The patients’ age, peak body temperature, WBC count and CRP level were the influencing factors of surgical drainage (P<0.05). Regression analysis showed that CRP (P<0.001), age (P=0.003) and WBC count (P=0.014) were independent risk factors for surgical drainage. The area under the ROC curve (AUC) of CRP, age, and WBC count were 0.923, 0.601, and 0.796, respectively. The cutoff value of CRP was 29.87 mg/L (sensitivity 79.4%, specificity 90.0%). Logistic regression model showed CRP was a significant clinical predictor. 【Conclusion】 Ureteral calculi with upper urinary tract infection need to be diagnosed and treated in time. Positive anti-infection should be performed during emergency treatment, and surgical drainage could be selected according to the value of CRP.

Hospitalization time and outcome in patients with Coronavirus Disease 2019 (COVID-19): analysis data from China

ObjectiveThe mean hospitalization time and outcome among patients with coronavirus disease 2019 (COVID-19) was estimated with the purpose of providing evidence for decision-making in medical institutions and governments in epidemic areas. MethodThe data of COVID-19 patients in china were collected from the websites of provincial and municipal health commissions. The mean hospitalization time and mortality in the mild or severe patients and the mean time from severe to mild illness were calculated by Gaussian mixture modeling. ResultsThe mean hospitalization time among mild patients in Hubei province, other areas except Hubei province, and the national areas was 20.71{+/-} 9.30, 16.86 {+/-} 8.24, and 19.34 {+/-} 9.29 days, respectively. The mean transition time from severe to mild group in the above three areas were 15.00, 17.00, and 14.99 days, respectively. The death rate of mild and severe patients in Hubei province and the national areas were 1.10% and 18.14%, and 1.10% and 17.70%, respectively. Among those patients who died of COVID-19, the mean time from severe transition to death in Hubei province and the national areas was 6.22 {+/-} 5.12 and 6.35 {+/-} 5.27 days, respectively. ConclusionThere were regional differences in the average length of stay between Hubei province and other regions, which may be related to different medical configurations. For those severe patients who died of COVID-19, the average time from hospitalization to death was about one week, and proper and effective treatments in the first week were critical.