目的:了解我院輸血申請單規范填寫的情況,分析其中存在的問題,以便采取積極有效的預防措施,規范輸血申請單填寫,提高臨床輸血安全性,防范因輸血導致的醫療糾紛。方法:對2008年10月至2009年3月臨床輸血申請單(包括手術備血輸血申請單)進行調查,以項目填寫完整、字跡清楚工整、有經治醫生和審核醫生簽字者為合格。結果:共調查7863份輸血申請單,其中規范填寫共6391份,占81.3%,未規范填寫1 472份,占18.7%。結論:通過對臨床輸血申請單超填寫的調查,分析其中存在的問題,以提高醫務人員對規范填寫輸血申請單及臨床輸血相關的法律法規的認識,提高臨床輸血安全性,防范因輸血導致的醫療糾紛。
Objective To explore the factors influencing 2-month sputum smear conversion (2m-SSC) in patients with systemic lupus erythematosus (SLE) and tuberculosis, and to establish a prediction model for 2m-SSC. Methods The initial and follow-up medical records of inpatients with SLE and sputum smear-positive tuberculosis in West China Hospital of Sichuan University from December 2013 to September 2019 were retrospectively reviewed. Single factor analyses and multivariable Firth’s logistic regression were used to determine the influencing factors of 2m-SSC, and a prediction model for 2m-SSC was established. The area under the receiver operating characteristic curve (AUC), sensitivity, and specificity were calculated to evaluate the performance of the model. Results A total of 91 patients with SLE and sputum smear-positive tuberculosis were ultimately included, with 8 cases in the non-conversion group and 83 in the conversion group. There were statistically significant differences in white blood cell count, total bilirubin, indirect bilirubin (IBIL), triglyceride, and rheumatoid factor (RF) between the two groups (P<0.05). Serum RF [odds ratio (OR)=2.271, 95% confidence interval (CI) (1.312, 4.350), P=0.003], IBIL [OR=2.363, 95%CI (1.206, 5.045), P=0.013], and glucose [OR=2.058, 95%CI (1.016, 4.280), P=0.045] were identified as risk factors unfavorable to 2m-SSC outcomes. The constructed model (including three variables: RF, IBIL, and glucose) had a good ability in predicting 2m-SSC [AUC=0.893, 95%CI (0.744, 1.000)], with a sensitivity of 87.5% and a specificity of 84.3%. Conclusion This study established a prediction model for 2m-SSC in patients with SLE and tuberculosis, and found the value of serum RF, IBIL, and glucose in predicting 2m-SSC, providing certain guidance for clinicians in treatment decisions.
ObjectiveTo explore the relation between preoperative serum gamma-glutamyl transpeptidase to platelet ratio (GPR) and overall survival (OS) of patients with hepatitis B virus-associated hepatocellular carcinoma (Abbreviated as “patients with HCC”), and to establish a nomogram for predicting OS. MethodsAccording to the inclusion and exclusion criteria, the clinicopathologic data of patients with HCC who underwent radical resection in the Department of Hepatobiliary Surgery of Xianyang Central Hospital, from January 15, 2012 to December 15, 2018, were retrospectively analyzed. The optimal critical value of GPR was determined by receiver operating characteristic curve, then the patients were divided into a low GPR group (GPR was optimal critical value or less ) and high GPR group (GPR was more optimal critical value). The Kaplan-Meier method was used to draw the survival curve and analyze the OS of patients. The univariate and multivariate Cox proportional hazards regression model were used to analyze the factors influencing prognosis in the patients with HCC. According to the risk factors of OS for patients with HCC, a nomogram was established. The consistency index and calibration curve in predicting the 3-year and 5-year accumulative OS rates of patients with HCC were evaluated. ResultsA total of 213 patients were gathered. The optimal critical value of GPR was 0.906. There were 114 patients in the low GPR group and 99 patients in the high GPR group. The Kaplan-Meier survival curve analysis showed that the 1-, 3- and 5-year accumulative OS rates were 99.1%, 81.8%, 60.6% in the low GPR group, respectively, which were 74.2%, 49.1%, 35.7% in the low GPR group, respectively. The OS curve of the low GPR group was better than that of the high GPR group (χ2=25.893, P<0.001). The multivariate analysis results showed that the microvascular invasion, incomplete capsule, intraoperative bleeding ＞1 000 mL, postoperative complications, GPR >0.906, low tumor differentiation, and late TNM stage did not contribute to accumulative OS in the patients with HCC (P<0.05). The consistency index (95%CI) of the nomogram in predicting accumulative OS rates at 3- and 5-year for patients with HCC were 0.761 (0.739, 0.783) and 0.735 (0.702, 0.838), respectively. The calibration curves of 3- and 5-year accumulative OS rates of the nomogram were in good agreement with the actual results. ConclusionsPreoperative GPR is associated with OS, and patients with higher GPR have worse prognosis. The nomogram based on GPR has a good accuracy and differentiation.
ObjectiveTo understand the distribution of demographic sociological characteristics and co-morbidities among primiparous and multiparous pregnant women under the China's universal two-child policy, to provide baseline data for clinical high-risk management and medical resources allocation.MethodsWe included pregnant women from 24 hospitals in 16 provinces (municipality, autonomous region) of China and collected their demographic sociological characteristics and obstetrics information by questionnaires between September 19th, and November 20th, 2016. Then, we used descriptive analysis to present the distribution of demographic sociological characteristics and pregnancy co-morbidities among primiparous and multiparous women and compared differences between groups by t test or Chi-square test.ResultsAmong 12 403 investigated pregnant women, 8 268 (66.7%) were primiparous and 4 135 (33.3%) were multiparous, with highest proportion in East (931/2 008, 46.4%) and lowest in Northeast (385/2 179, 17.7%). Multiparous women, comparing to primiparous women, were more likely to be elderly than 35 years (accounting for 30.6% vs. 6.5%), lower educated with high school or below (29.7% vs. 16.9%), occupied in physical labor or unemployed (49.2% vs. 42.5%), non-local residents (12.7% vs. 10.5%), family annual income higher than 120 thousand yuan (41.3% vs. 33.3%), pre-pregnancy body mass index≥24 kg/m2 (13.6% vs. 9.9%), history of artificial abortions (44.9% vs. 24.0%), or pregnancies≥4 times (23.8% vs. 3.1%) and were less likely to receive assisted reproductive technology (2.3% vs. 4.7%). The most common co-morbidities were gynecology disease (5.5%), thyroid disease (5.4% in all women), blood system disease (5.0%), digestive system disease (4.2%) and hepatitis B infection (2.5%). Multiparous women, comparing to primiparous women, had higher proportions with blood system disease (5.7% vs. 4.7%), hepatitis B infection (3.1% vs. 2.2%) and chronic hypertension (0.6% vs. 0.2%), but lower proportions with thyroid diseases, polycystic ovary syndrome, and immune system diseases, whose distribution also showed regional differences.ConclusionThere existed distribution differences regarding demographic sociological characteristics and co-morbidities proportions between primiparous and multiparous women. Therefore, we should improve clinical risk management and medical resources allocation based on pregnant women’s baseline and gestational characteristics.