Xu Xiaomei, Tan Juntao, Wang Haolin, Zhao Wenlong, Qin Bo
Department of Infectious Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Department of Gastroenterology, The Fifth People's Hospital of Chengdu, Chengdu, China.
Front Med (Lausanne). 2021 May 31;8:646875. doi: 10.3389/fmed.2021.646875. eCollection 2021.
Patients with acute decompensated (AD) cirrhosis are frequently readmitted to the hospital. An accurate predictive model for identifying high-risk patients may facilitate the development of effective interventions to reduce readmission rates. This cohort study of patients with AD cirrhosis was conducted at six tertiary hospitals in China between September 2012 and December 2016 (with 705 patients in the derivation cohort) and between January 2017 and April 2020 (with 251 patients in the temporal validation cohort). Least absolute shrinkage and selection operator Cox regression was used to identify the prognostic factors and construct a nomogram. The discriminative ability, calibration, and clinical net benefit were evaluated based on the C-index, area under the curve, calibration curve, and decision curve analysis. Kaplan-Meier curves were constructed for stratified risk groups, and log-rank tests were used to determine significant differences between the curves. Among 956 patients, readmission rates were 24.58, 42.99, and 51.78%, at 30, 60, and 90 days, respectively. Bacterial infection was the main reason for index hospitalization and readmission. Independent factors in the nomogram included gastrointestinal bleeding [hazard rate (HR): 2.787; 95% confidence interval (CI): 2.221-3.499], serum sodium (HR: 0.955; 95% CI: 0.933-0.978), total bilirubin (HR: 1.004; 95% CI: 1.003-1.005), and international normalized ratio (HR: 1.398; 95% CI: 1.126-1.734). For the convenience of clinicians, we provided a web-based calculator tool (https://cqykdx1111.shinyapps.io/dynnomapp/). The nomogram exhibited good discrimination ability, both in the derivation and validation cohorts. The predicted and observed readmission probabilities were calibrated with reliable agreement. The nomogram demonstrated superior net benefits over other score models. The high-risk group (nomogram score >56.8) was significantly likely to have higher rates of readmission than the low-risk group (nomogram score ≤ 56.8; < 0.0001). The nomogram is useful for assessing the probability of short-term readmission in patients with AD cirrhosis and to guide clinicians to develop individualized treatments based on risk stratification.
急性失代偿期(AD)肝硬化患者经常再次入院。一个准确的用于识别高危患者的预测模型可能有助于制定有效的干预措施以降低再入院率。这项针对AD肝硬化患者的队列研究于2012年9月至2016年12月在中国的六家三级医院进行(推导队列中有705例患者),以及2017年1月至2020年4月(时间验证队列中有251例患者)。使用最小绝对收缩和选择算子Cox回归来识别预后因素并构建列线图。基于C指数、曲线下面积、校准曲线和决策曲线分析评估判别能力、校准和临床净效益。为分层风险组构建Kaplan-Meier曲线,并使用对数秩检验来确定曲线之间的显著差异。在956例患者中,30天、60天和90天的再入院率分别为24.58%、42.99%和51.78%。细菌感染是首次住院和再入院的主要原因。列线图中的独立因素包括胃肠道出血[风险率(HR):2.787;95%置信区间(CI):2.221 - 3.499]、血清钠(HR:0.955;95%CI:0.933 - 0.978)、总胆红素(HR:1.004;95%CI:1.003 - 1.005)和国际标准化比值(HR:1.398;95%CI:1.126 - 1.734)。为方便临床医生,我们提供了一个基于网络的计算器工具(https://cqykdx1111.shinyapps.io/dynnomapp/)。该列线图在推导队列和验证队列中均表现出良好的判别能力。预测的和观察到的再入院概率经校准后具有可靠的一致性。该列线图显示出比其他评分模型更高的净效益。高危组(列线图评分>56.8)的再入院率显著高于低危组(列线图评分≤56.8;<0.0001)。该列线图有助于评估AD肝硬化患者短期再入院的概率,并指导临床医生根据风险分层制定个体化治疗方案。