Article(id=1309635238913995764, tenantId=1146029695717560320, journalId=1227999776411738115, issueId=1309635220643607372, articleNumber=null, orderNo=null, doi=10.12048/j.issn.1674-229X.2026.02.007, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1741795200000, receivedDateStr=2025-03-13, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1790170972802, onlineDateStr=2026-09-23, pubDate=1771948800000, pubDateStr=2026-02-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1790170972802, onlineIssueDateStr=2026-09-23, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1790170972802, creator=13701087609, updateTime=1790170972802, updator=13701087609, issue=Issue{id=1309635220643607372, tenantId=1146029695717560320, journalId=1227999776411738115, year='2026', volume='36', issue='2', pageStart='81', pageEnd='160', issueExtLink='null', onlineDate='null', pubDate='1771948800000', pubDateStr='2026-02-25', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1790170968446, creator='13701087609', updateTime=1790219084169, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1309837032671772868, tenantId=1146029695717560320, journalId=1227999776411738115, issueId=1309635220643607372, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1309837032671772869, tenantId=1146029695717560320, journalId=1227999776411738115, issueId=1309635220643607372, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=124, endPage=130, ext={EN=ArticleExt(id=1309635239081767925, articleId=1309635238913995764, tenantId=1146029695717560320, journalId=1227999776411738115, language=EN, title=Construction and Validation of A Nomogram Model for the Risk of Lower Limit Blood Concentration of Tacrolimus in the Early Perioperative Period Lung Transplant Patients, columnId=null, journalTitle=Pharmacy Today, columnName=null, runingTitle=null, highlight=null, articleAbstract=
OBJECTIVE To analyze the risk factors for early low tacrolimus blood concentration in lung transplant patients and to develop and evaluate a risk prediction model.
METHODS A retrospective analysis of medical records of hospitalized lung transplant patients who had their tacrolimus blood concentrations monitored within three months post-transplantation.Univariate and multivariate Logistic regression analysis were used to screen the risk factors for tacrolimus plasma concentration below the lower limit in the early postoperative period of lung transplantation patients. A nomogram model was developed using R software.
RESULTS Logistic regression analysis identified age, sex, azole antifungal agents, and carbapenem antibiotics as independent risk factors for subtherapeutic tacrolimus blood concentrations (P <0.05). Based on these factors, a nomogram model was established.Model evaluation showed an area under the curve (AUC) of 0.919, and bootstrap validation demonstrated the good model fit with a mean absolute error of 0.022. The decision curve analysis (DCA) showed that when the threshold probability ranged from 0.1-0.91, the curve lay between the 'all events' and 'no events' curves, indicating the model achieved a high net benefit.
CONCLUSION This study developed a risk prediction model for low tacrolimus blood concentrations in lung transplant recipients in the early stages, which can help guide individualized clinical dosing regimens.
, authors=Yao FU, Hui AO, Wenbo ZHOU, Zhengyue QIAN
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目的 分析肺移植患者早期他克莫司血药浓度偏低的危险因素，并构建和评估他克莫司血药浓度偏低的风险预测模型。
方法 回顾性分析肺移植术后3个月内他克莫司血药浓度的住院患者病例资料，采用单因素和多因素Logistic回归筛选肺移植患者术后早期他克莫司血药浓度低于下限的危险因素，并通过R软件构建列线图模型。
结果 通过Logistic回归分析发现年龄、性别、唑类抗真菌药、碳青霉烯类抗菌药是他克莫司血药浓度低于下限的独立影响因素（P <0.05）。据此建立血药浓度低限的列线图模型，并进行模型评价得到曲线下面积（AUC）为0.919，bootstrap法评估模型拟合良好，平均绝对误差为0.022，且临床决策曲线（DCA）阈值概率范围为0.1 ~ 0.91之间时，该曲线位于均发生与均未发生曲线之间，表明该模型具有较高的净获益水平。
结论 本研究构建肺移植受者早期他克莫司血药浓度偏低的风险预测模型，有助于指导临床个体化给药方案。
, authors=傅遥, 敖惠, 周文博, 钱正月
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