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使用 Charlson 合并症指数分析罗马尼亚西部合并症对子宫内膜病变的影响。

Analysis of the Impact of Comorbidities on Endometrial Lesions Using the Charlson Comorbidity Index in Western Romania.

机构信息

Department of Oncology, "Vasile Goldis" Western University of Arad, 310414 Arad, Romania.

Doctoral School of Medicine, "Victor Babes" University of Medicine and Pharmacy, 300041 Timisoara, Romania.

出版信息

Medicina (Kaunas). 2021 Sep 8;57(9):945. doi: 10.3390/medicina57090945.

DOI:10.3390/medicina57090945
PMID:34577868
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8469351/
Abstract

This retrospective study aimed to identify the main comorbidities found in gynecological patients hospitalized for endometrial lesions and to analyze the relationships between these comorbidities and each type of endometrial lesion. The Charlson comorbidity index (CCI) was calculated, thus assessing the patient's probability of survival in relation to the underlying disease and the existing comorbidities. : During 2015-2019, 594 cases hospitalized for vaginal bleeding outside of pregnancy were included in the research. For all cases, the frequency of comorbidities was calculated, applying the Cox proportional hazard model, considering the hospitalizations (from the following year after the first outpatient or hospital assessment) as a dependent variable; age and comorbidities were considered as independent variables. : Analysis of variance (ANOVA) for mean age of patients enrolled after diagnosis and multiple comparisons (via the Tukey post-hoc test) indicate significant differences ( < 0.05) between the average age for endometrial cancer (EC) and that for the typical endometrial hyperplasia or other diagnoses. The most common comorbidities were hypertension (62.28%), obesity (35.01%), and diabetes (22.89%), followed by cardiovascular disease. An intensely negative correlation (r = -0.715281634) was obtained between the percentage values of comorbidities present in EC and other endometrial lesions. The lowest chances of survival were calculated for 88 (14.81% of the total) patients over 50 years (the probability of survival in the next 10 years being between 0 and 21%). The chances of survival at 10 years are moderately negatively correlated with age (sample size = 594, r = -0.6706, < 0.0001, 95% confidence interval (CI) for r having values from -0.7126 to -0.6238) and strongly negatively correlated with the CCI (r = -0.9359, < 0.0001, 95% CI for r being in the range -0.9452 to -0.9251). : Using CCI in endometrial lesions is necessary to compare the estimated risk of EC mortality with other medical conditions.

摘要

这项回顾性研究旨在确定因子宫内膜病变住院的妇科患者的主要合并症,并分析这些合并症与每种类型的子宫内膜病变之间的关系。计算了 Charlson 合并症指数 (CCI),从而评估患者与基础疾病和现有合并症相关的生存概率。 2015 年至 2019 年期间,共纳入 594 例因非妊娠阴道出血住院的病例。对所有病例均计算合并症的发生频率,采用 Cox 比例风险模型,将(首次门诊或住院评估后的次年)住院次数作为因变量;年龄和合并症作为自变量。对诊断后入组患者的平均年龄进行方差分析(ANOVA)和多重比较(通过 Tukey 事后检验),结果表明子宫内膜癌(EC)患者的平均年龄与典型子宫内膜增生或其他诊断患者的平均年龄存在显著差异(<0.05)。最常见的合并症是高血压(62.28%)、肥胖症(35.01%)和糖尿病(22.89%),其次是心血管疾病。EC 和其他子宫内膜病变中存在的合并症百分比值之间存在强烈的负相关(r=-0.715281634)。对于 88 名(占总人数的 14.81%)年龄超过 50 岁的患者,计算出的生存机会最低(未来 10 年的生存概率在 0 到 21%之间)。10 年的生存机会与年龄呈中度负相关(样本量=594,r=-0.6706,<0.0001,r 的 95%置信区间(CI)值为-0.7126 到-0.6238),与 CCI 呈强负相关(r=-0.9359,<0.0001,r 的 95%CI 范围为-0.9452 到-0.9251)。 在子宫内膜病变中使用 CCI 对于比较 EC 死亡率与其他医疗条件的估计风险是必要的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90cb/8469351/9baa617a83ff/medicina-57-00945-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90cb/8469351/7dda3351f5f7/medicina-57-00945-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90cb/8469351/71d8082b076f/medicina-57-00945-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90cb/8469351/37dedfc1ceff/medicina-57-00945-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90cb/8469351/810017b6787e/medicina-57-00945-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90cb/8469351/9baa617a83ff/medicina-57-00945-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90cb/8469351/7dda3351f5f7/medicina-57-00945-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90cb/8469351/71d8082b076f/medicina-57-00945-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90cb/8469351/37dedfc1ceff/medicina-57-00945-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90cb/8469351/810017b6787e/medicina-57-00945-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90cb/8469351/9baa617a83ff/medicina-57-00945-g005.jpg

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