Article(id=1317885800931504172, tenantId=1146029695717560320, journalId=1316781422847033486, issueId=1317885672153797495, articleNumber=null, orderNo=null, doi=10.12449/JCH260824, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1769356800000, receivedDateStr=2026-01-26, revisedDate=null, revisedDateStr=null, acceptedDate=1774281600000, acceptedDateStr=2026-03-24, onlineDate=1792138060075, onlineDateStr=2026-10-16, pubDate=1787587200000, pubDateStr=2026-08-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1792138060075, onlineIssueDateStr=2026-10-16, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1792138060075, creator=13701087609, updateTime=1792138060075, updator=13701087609, issue=Issue{id=1317885672153797495, tenantId=1146029695717560320, journalId=1316781422847033486, year='2026', volume='42', issue='8', pageStart='1745', pageEnd='2000', issueExtLink='null', onlineDate='null', pubDate='1787587200000', pubDateStr='2026-08-25', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=1, specialIssue=null, createTime=1792138029373, creator='13701087609', updateTime=1792138608261, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1317888100290900262, tenantId=1146029695717560320, journalId=1316781422847033486, issueId=1317885672153797495, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1317888100290900263, tenantId=1146029695717560320, journalId=1316781422847033486, issueId=1317885672153797495, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=1908, endPage=1916, ext={EN=ArticleExt(id=1317885803016073262, articleId=1317885800931504172, tenantId=1146029695717560320, journalId=1316781422847033486, language=EN, title=Risk factors for post-acute pancreatitis diabetes mellitus and construction of a nomogram prediction model, columnId=1317885781423800520, journalTitle=Journal of Clinical Hepatology, columnName=Pancreatic Disease, runingTitle=null, highlight=null, articleAbstract=
Objective To investigate the risk factors for post-acute pancreatitis diabetes mellitus (PPDM-A) in patients with acute pancreatitis (AP),to construct a nomogram prediction model,and to provide a reference for the development of individualized treatment regimens.
Methods A total of 351 patients with AP who were admitted to Xuzhou Municipal Hospital Affiliated to Xuzhou Medical University from June 2021 to January 2025 were prospectively enrolled,and they were randomly divided into modeling group with 246 patients and validation group with 105 patients at a ratio of 7∶3. According to the presence or absence of PPDM-A in the patients with AP,the modeling group was further divided into PPDM-A group with 86 patients and non-PPDM-A group with 160 patients. Clinical data were collected from all patients. The least absolute shrinkage and selection operator (LASSO) regression analysis was used to determine independent variables,and a Logistic regression analysis was used to investigate the influencing factors for PPDM-A. R software was used to construct a nomogram model. The receiver operating characteristic curve was used to assess the discriminatory ability of the model,and the Hosmer-Lemeshow test was used to test the model fitting degree,and the calibration curve was used to evaluate the model consistency; and decision curve analysis (DCA) was used to assess its clinical application value. The independent-samples t test was used for comparison of continuous data between two groups,and the chi-square test was used for comparison of categorical data between two groups.
Results Among the 246 patients,86 developed PPDM-A,resulting in an incidence rate of 34.96%. There were significant differences between the PPDM-A group and the non-PPDM-A group in the proportion of patients with an age of ≥60 years (65.12% vs 40.62%,P<0.05),male sex (75.58% vs 55.63%,P<0.05),a body mass index (BMI) of ≥24 kg/m2 (63.95% vs 37.50%,P<0.05),alcoholic AP (56.98% vs 36.87%,P<0.05),moderate-to-severe AP (54.65% vs 35.00%,P<0.05),or a computed tomography severity index (CTSI) score of ≥4 points (48.84% vs 28.75%,P<0.05),as well as significant differences in the levels of blood calcium (1.46±0.35 mmol/L vs 1.89±0.37 mmol/L,P<0.05) and random blood glucose (Glu) (17.68±4.12 mmol/L vs 11.68±4.27 mmol/L,P<0.05). The LASSO regression analysis obtained 8 independent variables. The Logistic regression analysis showed that age,sex,BMI,alcoholic AP,moderate-to-severe AP,CTSI score,and Glu were risk factors for PPDM-A (all P<0.05),while blood calcium was a protective factor (P<0.05). The model had an area under the ROC curve (AUC) of 0.932 (95% confidence interval [CI]:0.903 — 0.962) in the modeling group,and the Hosmer-Lemeshow goodness-of-fit test yielded χ2=7.346 (P=0.728),the accuracy of model fitting was good; the calibration curve showed that the predicted probability was consistent with the actual probability,indicating that the consistency was good. The model had an AUC of 0.835 (95%CI:0.753 — 0.917) in the validation group,and the Hosmer-Lemeshow goodness-of-fit test yielded χ2=7.014 (P=0.711),the accuracy of model fitting was good; the calibration curve showed that the predicted probability was consistent with the actual probability,indicating that the consistency was good. The DCA results of the modeling group showed that the model exhibited a high clinical value in evaluating PPDM-A when the threshold probability was 0.13 — 0.94.
Conclusion Age,sex,BMI,alcoholic AP,moderate-to-severe AP,blood calcium,CTSI score,and Glu are influencing factors for PPDM-A. The nomogram model constructed based on the above influencing factors shows good performance in predicting the risk of PPDM-A and can thus provide a reference for developing prevention strategies for PPDM-A in clinical practice.
, authors=Fujun Li, Rong Zhang, Kun Fang, Juan Chen, Tianshi Zhuang, Chao Wang, authorsList=Fujun Li, Rong Zhang, Kun Fang, Juan Chen, Tianshi Zhuang, Chao Wang, authorCompany=null, correspAuthors=Chao Wang, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1317885807529144386, articleId=1317885800931504172, tenantId=1146029695717560320, journalId=1316781422847033486, language=CN, title=急性胰腺炎新发糖尿病的危险因素分析及列线图模型构建, columnId=1317885781620932810, journalTitle=临床肝胆病杂志, columnName=胰腺疾病, runingTitle=null, highlight=null, articleAbstract=
目的 分析急性胰腺炎(AP)患者新发糖尿病(PPDM-A)的危险因素,并构建列线图预测模型,为未来制订个体化治疗方案提供参考。
方法 前瞻性选取2021年6月—2025年1月徐州医科大学附属徐州市立医院收治的351例AP患者为研究对象,按照7∶3比例将患者随机分为建模组(n=246)与验证组(n=105)。根据AP患者是否发生PPDM-A,将建模组进一步分为PPDM-A组(n=86)和非PPDM-A组(n=160)。收集患者的临床资料,采用最小绝对收缩和选择算子(LASSO)回归分析筛选自变量,采用Logistic回归分析PPDM-A的影响因素,并利用R软件构建列线图模型。采用受试者操作特征曲线评估模型的区分度,使用Hosmer-Lemeshow(H-L)检验模型拟合度,校准曲线评估模型一致性;采用决策曲线分析(DCA)评估模型的临床应用价值。计量资料两组间比较采用成组t检验;计数资料两组间比较采用χ2检验。
结果 建模组246例患者中,有86例发生PPDM-A,发生率为34.96%。PPDM-A组与非PPDM-A组在年龄≥60岁(65.12% vs 40.62%)、男性(75.58% vs 55.63%)、体重指数(BMI)≥24 kg/m2(63.95% vs 37.50%)、酒精性AP(56.98% vs 36.87%)、中重度AP(54.65% vs 35.00%)、血钙[(1.46±0.35)mmol/L vs (1.89±0.37)mmol/L]、计算机体层成像严重程度指数(CTSI)评分≥4分(48.84% vs 28.75%)、随机血糖[(17.68±4.12)mmol/L vs (11.68±4.27)mmol/L]比较,差异均有统计学意义(P值均<0.05)。LASSO回归分析共筛选出8个自变量,将8个自变量进行Logistic回归分析,结果显示年龄、性别、BMI、酒精性AP、中重度AP、CTSI评分及随机血糖均是PPDM-A的危险因素(P值均<0.05),血钙为保护因素(P<0.05)。建模组的曲线下面积(AUC)为0.932(95%置信区间:0.903~0.962);H-L拟合优度检验结果为χ2=7.346(P=0.728),模型拟合的准确度较好;较准曲线显示预测概率与实际概率一致,说明一致性较好。验证组的AUC为0.835(95%置信区间:0.753~0.917),H-L拟合优度检验结果为χ2=7.014(P=0.711),模型拟合的准确度较好;较准曲线显示预测概率与实际概率一致,说明一致性较好。建模组DCA结果显示,当阈值概率在0.13~0.94时,该模型评估PPDM-A的临床价值较高。
结论 年龄、性别、BMI、酒精性AP、中重度AP、血钙、CTSI评分及随机血糖是PPDM-A的影响因素,基于上述影响因素构建的列线图模型对PPDM-A风险具有较好的预测能力,可为临床制订PPDM-A预防策略提供参考。
, authors=李福军, 张蓉, 方堃, 陈娟, 庄天时, 王超, authorsList=李福军, 张蓉, 方堃, 陈娟, 庄天时, 王超, authorCompany=null, correspAuthors=王超, authorNote=
作者贡献声明
李福军负责课题设计,资料分析,撰写论文;张蓉、方堃负责参与收集数据,修改论文;陈娟、庄天时负责拟定写作思路;王超负责指导撰写文章并最后定稿。
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10.1259/bjr.20230382., articleTitle=Developing a CT-based radiomics nomogram for predicting post-acute pancreatitis diabetes mellitus incidence, refAbstract=null)], funds=null, companyList=[AuthorCompany(id=1317885807852105795, tenantId=1146029695717560320, journalId=1316781422847033486, articleId=1317885800931504172, xref=null, ext=[AuthorCompanyExt(id=1317885807856300100, tenantId=1146029695717560320, journalId=1316781422847033486, articleId=1317885800931504172, companyId=1317885807852105795, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=Department of Emergency Medicine,Xuzhou Municipal Hospital Affiliated to Xuzhou Medical University (Xuzhou No.1 People’s Hospital),Xuzhou,Jiangsu 221003,China), AuthorCompanyExt(id=1317885807864688709, tenantId=1146029695717560320, journalId=1316781422847033486, articleId=1317885800931504172, companyId=1317885807852105795, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=徐州医科大学附属徐州市立医院(徐州市第一人民医院)急诊医学科,江苏 徐州 221003)])], figs=[ArticleFig(id=1317885811824111726, tenantId=1146029695717560320, journalId=1316781422847033486, articleId=1317885800931504172, language=EN, label=Figure 1, caption=
LASSO regression coefficient relationships, figureFileSmall=aRyuixY/GzYz0zB6lQ4s4g==, figureFileBig=Q5NuiyI+vSOejLt4h1eG5w==, tableContent=null), ArticleFig(id=1317885811903803503, tenantId=1146029695717560320, journalId=1316781422847033486, articleId=1317885800931504172, language=CN, label=图1, caption=
LASSO回归系数关系注:LASSO,最小绝对收缩和选择算子。
, figureFileSmall=aRyuixY/GzYz0zB6lQ4s4g==, figureFileBig=Q5NuiyI+vSOejLt4h1eG5w==, tableContent=null), ArticleFig(id=1317885812264513648, tenantId=1146029695717560320, journalId=1316781422847033486, articleId=1317885800931504172, language=EN, label=Figure 2, caption=
LASSO regression dimensionality reduction with 10-fold cross-validation, figureFileSmall=Z6UYKqCBJIqfU+u/gKm1fA==, figureFileBig=qyg8nZ24B94xBHMhXRDe2w==, tableContent=null), ArticleFig(id=1317885812520366194, tenantId=1146029695717560320, journalId=1316781422847033486, articleId=1317885800931504172, language=CN, label=图2, caption=
10折交叉验证LASSO回归降维图注:LASSO,最小绝对收缩和选择算子。
, figureFileSmall=Z6UYKqCBJIqfU+u/gKm1fA==, figureFileBig=qyg8nZ24B94xBHMhXRDe2w==, tableContent=null), ArticleFig(id=1317885814005149811, tenantId=1146029695717560320, journalId=1316781422847033486, articleId=1317885800931504172, language=EN, label=Figure 3, caption=
The nomogram model of PPDM-A, figureFileSmall=51QCfKR+i3k6AEAGIA5fgw==, figureFileBig=2M/xeHTZfIvlYJoVIW49Rg==, tableContent=null), ArticleFig(id=1317885814110007412, tenantId=1146029695717560320, journalId=1316781422847033486, articleId=1317885800931504172, language=CN, label=图3, caption=
PPDM-A的列线图模型注:CTSI,计算机体层成像严重程度指数;BMI,体重指数;AP,急性胰腺炎;PPDM-A,急性胰腺炎新发糖尿病。
, figureFileSmall=51QCfKR+i3k6AEAGIA5fgw==, figureFileBig=2M/xeHTZfIvlYJoVIW49Rg==, tableContent=null), ArticleFig(id=1317885814210670709, tenantId=1146029695717560320, journalId=1316781422847033486, articleId=1317885800931504172, language=EN, label=Figure 4, caption=
ROC curve of the modeling group, figureFileSmall=HnJ/VFvrYwdCU9kkMElyIQ==, figureFileBig=qpkObAC4uWP9f876eseCQA==, tableContent=null), ArticleFig(id=1317885815854837878, tenantId=1146029695717560320, journalId=1316781422847033486, articleId=1317885800931504172, language=CN, label=图4, caption=
建模组的受试者操作特征曲线, figureFileSmall=HnJ/VFvrYwdCU9kkMElyIQ==, figureFileBig=qpkObAC4uWP9f876eseCQA==, tableContent=null), ArticleFig(id=1317885815942918263, tenantId=1146029695717560320, journalId=1316781422847033486, articleId=1317885800931504172, language=EN, label=Figure 5, caption=
Calibration curve of the modeling module, figureFileSmall=LFfArW/vG2oxCnOD4Scetw==, figureFileBig=aYlY4NMPPwCBkp/fbZhvpA==, tableContent=null), ArticleFig(id=1317885816089718904, tenantId=1146029695717560320, journalId=1316781422847033486, articleId=1317885800931504172, language=CN, label=图5, caption=
建模组的校准曲线, figureFileSmall=LFfArW/vG2oxCnOD4Scetw==, figureFileBig=aYlY4NMPPwCBkp/fbZhvpA==, tableContent=null), ArticleFig(id=1317885816190382201, tenantId=1146029695717560320, journalId=1316781422847033486, articleId=1317885800931504172, language=EN, label=Figure 6, caption=
ROC curve of the validation group, figureFileSmall=+SCwVKZ5PZaW/Q9HBFSiZg==, figureFileBig=YqjK0L/BiPhY+OCTvSkXxw==, tableContent=null), ArticleFig(id=1317885816265879674, tenantId=1146029695717560320, journalId=1316781422847033486, articleId=1317885800931504172, language=CN, label=图6, caption=
验证组的受试者操作特征曲线, figureFileSmall=+SCwVKZ5PZaW/Q9HBFSiZg==, figureFileBig=YqjK0L/BiPhY+OCTvSkXxw==, tableContent=null), ArticleFig(id=1317885816379125883, tenantId=1146029695717560320, journalId=1316781422847033486, articleId=1317885800931504172, language=EN, label=Figure 7, caption=
Calibration curve of the validation group, figureFileSmall=9ufxsFg0yA5ae2yFuqzr8A==, figureFileBig=23WmNiO/BZnnaC5wMSEAFA==, tableContent=null), ArticleFig(id=1317885816446234748, tenantId=1146029695717560320, journalId=1316781422847033486, articleId=1317885800931504172, language=CN, label=图7, caption=
验证组的校准曲线, figureFileSmall=9ufxsFg0yA5ae2yFuqzr8A==, figureFileBig=23WmNiO/BZnnaC5wMSEAFA==, tableContent=null), ArticleFig(id=1317885816538509437, tenantId=1146029695717560320, journalId=1316781422847033486, articleId=1317885800931504172, language=EN, label=Figure 8, caption=
DCA curve of the nomogram model, figureFileSmall=ybx0AttJ7tMemHczpPsUYQ==, figureFileBig=5p6hlBvRe4CUaQr3fkNWdg==, tableContent=null), ArticleFig(id=1317885816605618302, tenantId=1146029695717560320, journalId=1316781422847033486, articleId=1317885800931504172, language=CN, label=图8, caption=
列线图模型的决策曲线分析, figureFileSmall=ybx0AttJ7tMemHczpPsUYQ==, figureFileBig=5p6hlBvRe4CUaQr3fkNWdg==, tableContent=null), ArticleFig(id=1317885816676921471, tenantId=1146029695717560320, journalId=1316781422847033486, articleId=1317885800931504172, language=EN, label=Table 1, caption=
Comparison of clinical data between modeling group and validation group
, figureFileSmall=null, figureFileBig=null, tableContent=
| 因素 | 建模组(n=246) | 验证组(n=105) | 统计值 | P值 |
|---|
| 年龄[例(%)] | | | χ2=0.072 | 0.788 |
| ≥60岁 | 121(49.19) | 50(47.62) | | |
| <60岁 | 125(50.81) | 55(52.38) | | |
| 性别[例(%)] | | | χ2=0.046 | 0.830 |
| 男 | 154(62.60) | 67(63.81) | | |
| 女 | 92(37.40) | 38(36.19) | | |
| BMI[例(%)] | | | χ2=0.256 | 0.613 |
| ≥24 kg/m2 | 115(46.75) | 46(43.81) | | |
| <24 kg/m2 | 131(53.25) | 59(56.19) | | |
| 居住地[例(%)] | | | χ2=0.138 | 0.711 |
| 农村 | 106(43.09) | 43(40.95) | | |
| 城镇 | 140(56.91) | 62(59.05) | | |
| 婚姻状况[例(%)] | | | χ2=0.019 | 0.890 |
| 已婚 | 203(82.52) | 86(81.90) | | |
| 未婚/离异 | 43(17.48) | 19(18.10) | | |
| 文化程度[例(%)] | | | χ2=0.101 | 0.751 |
| 高中以下 | 117(47.56) | 48(45.71) | | |
| 高中及以上 | 129(52.44) | 57(54.29) | | |
| 高血压[例(%)] | 32(13.01) | 13(12.38) | χ2=0.026 | 0.872 |
| 吸烟史[例(%)] | 91(36.99) | 35(33.33) | χ2=0.428 | 0.513 |
| 饮酒史[例(%)] | 54(21.95) | 24(22.86) | χ2=0.035 | 0.852 |
| 高尿酸血症[例(%)] | 45(18.29) | 20(19.05) | χ2=0.028 | 0.868 |
| 胆源性AP[例(%)] | 88(35.77) | 34(32.38) | χ2=0.373 | 0.541 |
| 酒精性AP[例(%)] | 108(43.90) | 43(40.95) | χ2=0.261 | 0.609 |
| 中重度AP[例(%)] | 103(41.87) | 42(40.00) | χ2=0.106 | 0.745 |
| TC(mmol/L) | 4.66±1.24 | 4.67±1.25 | t=0.069 | 0.945 |
| TG(mmol/L) | 3.23±0.35 | 3.20±0.31 | t=0.760 | 0.448 |
| LDL-C(mmol/L) | 2.22±0.35 | 2.19±0.32 | t=0.754 | 0.451 |
| HDL-C(mmol/L) | 1.59±0.33 | 1.62±0.34 | t=0.773 | 0.440 |
| 总蛋白(g/L) | 62.20±10.28 | 62.34±10.53 | t=0.116 | 0.908 |
| 白蛋白(g/L) | 35.68±5.90 | 35.86±5.86 | t=0.262 | 0.793 |
| 球蛋白(g/L) | 26.83±3.02 | 26.79±2.95 | t=0.114 | 0.909 |
| 肌酐(μmol/L) | 68.08±10.20 | 68.11±10.31 | t=0.025 | 0.980 |
| 血尿酸(μmol/L) | 254.62±15.00 | 254.75±14.98 | t=0.074 | 0.941 |
| 血钙(mmol/L) | 1.74±0.36 | 1.76±0.32 | t=0.492 | 0.623 |
| 血钾(mmol/L) | 3.90±0.46 | 3.86±0.43 | t=0.760 | 0.448 |
| 胱抑素C(mg/L) | 0.88±0.22 | 0.86±0.21 | t=0.790 | 0.430 |
| 血脂肪酶(U/L) | 387.99±37.70 | 387.86±37.13 | t=0.030 | 0.976 |
| 血淀粉酶(U/L) | 229.15±28.49 | 229.34±28.64 | t=0.057 | 0.954 |
| CTSI评分[例(%)] | | | χ2=0.071 | 0.790 |
| ≥4分 | 88(35.77) | 36(34.29) | | |
| <4分 | 158(64.23) | 69(65.71) | | |
| 随机血糖(mmol/L) | 13.78±4.22 | 13.59±4.18 | t=0.387 | 0.699 |
), ArticleFig(id=1317885816756613248, tenantId=1146029695717560320, journalId=1316781422847033486, articleId=1317885800931504172, language=CN, label=表1, caption=
建模组与验证组临床资料比较
, figureFileSmall=null, figureFileBig=null, tableContent=
| 因素 | 建模组(n=246) | 验证组(n=105) | 统计值 | P值 |
|---|
| 年龄[例(%)] | | | χ2=0.072 | 0.788 |
| ≥60岁 | 121(49.19) | 50(47.62) | | |
| <60岁 | 125(50.81) | 55(52.38) | | |
| 性别[例(%)] | | | χ2=0.046 | 0.830 |
| 男 | 154(62.60) | 67(63.81) | | |
| 女 | 92(37.40) | 38(36.19) | | |
| BMI[例(%)] | | | χ2=0.256 | 0.613 |
| ≥24 kg/m2 | 115(46.75) | 46(43.81) | | |
| <24 kg/m2 | 131(53.25) | 59(56.19) | | |
| 居住地[例(%)] | | | χ2=0.138 | 0.711 |
| 农村 | 106(43.09) | 43(40.95) | | |
| 城镇 | 140(56.91) | 62(59.05) | | |
| 婚姻状况[例(%)] | | | χ2=0.019 | 0.890 |
| 已婚 | 203(82.52) | 86(81.90) | | |
| 未婚/离异 | 43(17.48) | 19(18.10) | | |
| 文化程度[例(%)] | | | χ2=0.101 | 0.751 |
| 高中以下 | 117(47.56) | 48(45.71) | | |
| 高中及以上 | 129(52.44) | 57(54.29) | | |
| 高血压[例(%)] | 32(13.01) | 13(12.38) | χ2=0.026 | 0.872 |
| 吸烟史[例(%)] | 91(36.99) | 35(33.33) | χ2=0.428 | 0.513 |
| 饮酒史[例(%)] | 54(21.95) | 24(22.86) | χ2=0.035 | 0.852 |
| 高尿酸血症[例(%)] | 45(18.29) | 20(19.05) | χ2=0.028 | 0.868 |
| 胆源性AP[例(%)] | 88(35.77) | 34(32.38) | χ2=0.373 | 0.541 |
| 酒精性AP[例(%)] | 108(43.90) | 43(40.95) | χ2=0.261 | 0.609 |
| 中重度AP[例(%)] | 103(41.87) | 42(40.00) | χ2=0.106 | 0.745 |
| TC(mmol/L) | 4.66±1.24 | 4.67±1.25 | t=0.069 | 0.945 |
| TG(mmol/L) | 3.23±0.35 | 3.20±0.31 | t=0.760 | 0.448 |
| LDL-C(mmol/L) | 2.22±0.35 | 2.19±0.32 | t=0.754 | 0.451 |
| HDL-C(mmol/L) | 1.59±0.33 | 1.62±0.34 | t=0.773 | 0.440 |
| 总蛋白(g/L) | 62.20±10.28 | 62.34±10.53 | t=0.116 | 0.908 |
| 白蛋白(g/L) | 35.68±5.90 | 35.86±5.86 | t=0.262 | 0.793 |
| 球蛋白(g/L) | 26.83±3.02 | 26.79±2.95 | t=0.114 | 0.909 |
| 肌酐(μmol/L) | 68.08±10.20 | 68.11±10.31 | t=0.025 | 0.980 |
| 血尿酸(μmol/L) | 254.62±15.00 | 254.75±14.98 | t=0.074 | 0.941 |
| 血钙(mmol/L) | 1.74±0.36 | 1.76±0.32 | t=0.492 | 0.623 |
| 血钾(mmol/L) | 3.90±0.46 | 3.86±0.43 | t=0.760 | 0.448 |
| 胱抑素C(mg/L) | 0.88±0.22 | 0.86±0.21 | t=0.790 | 0.430 |
| 血脂肪酶(U/L) | 387.99±37.70 | 387.86±37.13 | t=0.030 | 0.976 |
| 血淀粉酶(U/L) | 229.15±28.49 | 229.34±28.64 | t=0.057 | 0.954 |
| CTSI评分[例(%)] | | | χ2=0.071 | 0.790 |
| ≥4分 | 88(35.77) | 36(34.29) | | |
| <4分 | 158(64.23) | 69(65.71) | | |
| 随机血糖(mmol/L) | 13.78±4.22 | 13.59±4.18 | t=0.387 | 0.699 |
), ArticleFig(id=1317885816861470849, tenantId=1146029695717560320, journalId=1316781422847033486, articleId=1317885800931504172, language=EN, label=Table 2, caption=
Comparison of clinical data between PPDM-A group and non-PPDM-A group
, figureFileSmall=null, figureFileBig=null, tableContent=
| 因素 | PPDM-A组(n=86) | 非PPDM-A组(n=160) | 统计值 | P值 |
|---|
| 年龄[例(%)] | | | χ2=13.424 | <0.001 |
| ≥60岁 | 56(65.12) | 65(40.62) | | |
| <60岁 | 30(34.88) | 95(59.38) | | |
| 性别[例(%)] | | | χ2=9.515 | 0.002 |
| 男 | 65(75.58) | 89(55.63) | | |
| 女 | 21(24.42) | 71(44.37) | | |
| BMI[例(%)] | | | χ2=15.724 | <0.001 |
| ≥24 kg/m2 | 55(63.95) | 60(37.50) | | |
| <24 kg/m2 | 31(36.05) | 100(62.50) | | |
| 居住地[例(%)] | | | χ2=0.065 | 0.799 |
| 农村 | 38(44.19) | 68(42.50) | | |
| 城镇 | 48(55.81) | 92(57.50) | | |
| 婚姻状况[例(%)] | | | χ2=0.132 | 0.716 |
| 已婚 | 72(83.72) | 131(81.88) | | |
| 未婚/离异 | 14(16.28) | 29(18.12) | | |
| 文化程度[例(%)] | | | χ2=0.086 | 0.769 |
| 高中以下 | 42(48.84) | 75(46.87) | | |
| 高中及以上 | 44(51.16) | 85(53.13) | | |
| 高血压[例(%)] | 12(13.95) | 20(12.50) | χ2=0.104 | 0.747 |
| 吸烟史[例(%)] | 34(39.53) | 57(35.62) | χ2=0.367 | 0.545 |
| 饮酒史[例(%)] | 20(23.26) | 34(21.25) | χ2=0.131 | 0.717 |
| 高尿酸血症[例(%)] | 18(20.93) | 27(16.87) | χ2=0.616 | 0.433 |
| 胆源性AP[例(%)] | 32(37.21) | 56(35.00) | χ2=0.119 | 0.730 |
| 酒精性AP[例(%)] | 49(56.98) | 59(36.87) | χ2=9.177 | 0.002 |
| 中重度AP[例(%)] | 47(54.65) | 56(35.00) | χ2=8.875 | 0.003 |
| TC(mmol/L) | 4.71±1.28 | 4.63±1.22 | t=0.482 | 0.630 |
| TG(mmol/L) | 3.26±0.38 | 3.22±0.34 | t=0.844 | 0.399 |
| LDL-C(mmol/L) | 2.18±0.34 | 2.24±0.36 | t=1.271 | 0.205 |
| HDL-C(mmol/L) | 1.62±0.34 | 1.58±0.33 | t=0.887 | 0.376 |
| 总蛋白(g/L) | 62.24±10.16 | 62.18±10.34 | t=0.044 | 0.965 |
| 白蛋白(g/L) | 34.98±6.10 | 36.05±5.79 | t=1.356 | 0.176 |
| 球蛋白(g/L) | 27.13±3.08 | 26.67±2.99 | t=1.139 | 0.256 |
| 肌酐(μmol/L) | 68.19±10.34 | 68.02±10.13 | t=0.125 | 0.901 |
| 血尿酸(μmol/L) | 253.64±14.32 | 255.14±15.37 | t=0.747 | 0.456 |
| 血钙(mmol/L) | 1.46±0.35 | 1.89±0.37 | t=8.856 | <0.001 |
| 血钾(mmol/L) | 3.86±0.43 | 3.92±0.47 | t=0.983 | 0.327 |
| 胱抑素C(mg/L) | 0.91±0.23 | 0.87±0.21 | t=1.377 | 0.170 |
| 血脂肪酶(U/L) | 391.24±38.62 | 386.24±37.21 | t=0.992 | 0.322 |
| 血淀粉酶(U/L) | 230.67±29.65 | 228.34±27.86 | t=0.612 | 0.541 |
| CTSI评分[例(%)] | | | χ2=9.823 | 0.002 |
| ≥4分 | 42(48.84) | 46(28.75) | | |
| <4分 | 44(51.16) | 114(71.25) | | |
| 随机血糖(mmol/L) | 17.68±4.12 | 11.68±4.27 | t=10.638 | <0.001 |
), ArticleFig(id=1317885816945356930, tenantId=1146029695717560320, journalId=1316781422847033486, articleId=1317885800931504172, language=CN, label=表2, caption=
PPDM-A组和非PPDM-A组临床资料比较
, figureFileSmall=null, figureFileBig=null, tableContent=
| 因素 | PPDM-A组(n=86) | 非PPDM-A组(n=160) | 统计值 | P值 |
|---|
| 年龄[例(%)] | | | χ2=13.424 | <0.001 |
| ≥60岁 | 56(65.12) | 65(40.62) | | |
| <60岁 | 30(34.88) | 95(59.38) | | |
| 性别[例(%)] | | | χ2=9.515 | 0.002 |
| 男 | 65(75.58) | 89(55.63) | | |
| 女 | 21(24.42) | 71(44.37) | | |
| BMI[例(%)] | | | χ2=15.724 | <0.001 |
| ≥24 kg/m2 | 55(63.95) | 60(37.50) | | |
| <24 kg/m2 | 31(36.05) | 100(62.50) | | |
| 居住地[例(%)] | | | χ2=0.065 | 0.799 |
| 农村 | 38(44.19) | 68(42.50) | | |
| 城镇 | 48(55.81) | 92(57.50) | | |
| 婚姻状况[例(%)] | | | χ2=0.132 | 0.716 |
| 已婚 | 72(83.72) | 131(81.88) | | |
| 未婚/离异 | 14(16.28) | 29(18.12) | | |
| 文化程度[例(%)] | | | χ2=0.086 | 0.769 |
| 高中以下 | 42(48.84) | 75(46.87) | | |
| 高中及以上 | 44(51.16) | 85(53.13) | | |
| 高血压[例(%)] | 12(13.95) | 20(12.50) | χ2=0.104 | 0.747 |
| 吸烟史[例(%)] | 34(39.53) | 57(35.62) | χ2=0.367 | 0.545 |
| 饮酒史[例(%)] | 20(23.26) | 34(21.25) | χ2=0.131 | 0.717 |
| 高尿酸血症[例(%)] | 18(20.93) | 27(16.87) | χ2=0.616 | 0.433 |
| 胆源性AP[例(%)] | 32(37.21) | 56(35.00) | χ2=0.119 | 0.730 |
| 酒精性AP[例(%)] | 49(56.98) | 59(36.87) | χ2=9.177 | 0.002 |
| 中重度AP[例(%)] | 47(54.65) | 56(35.00) | χ2=8.875 | 0.003 |
| TC(mmol/L) | 4.71±1.28 | 4.63±1.22 | t=0.482 | 0.630 |
| TG(mmol/L) | 3.26±0.38 | 3.22±0.34 | t=0.844 | 0.399 |
| LDL-C(mmol/L) | 2.18±0.34 | 2.24±0.36 | t=1.271 | 0.205 |
| HDL-C(mmol/L) | 1.62±0.34 | 1.58±0.33 | t=0.887 | 0.376 |
| 总蛋白(g/L) | 62.24±10.16 | 62.18±10.34 | t=0.044 | 0.965 |
| 白蛋白(g/L) | 34.98±6.10 | 36.05±5.79 | t=1.356 | 0.176 |
| 球蛋白(g/L) | 27.13±3.08 | 26.67±2.99 | t=1.139 | 0.256 |
| 肌酐(μmol/L) | 68.19±10.34 | 68.02±10.13 | t=0.125 | 0.901 |
| 血尿酸(μmol/L) | 253.64±14.32 | 255.14±15.37 | t=0.747 | 0.456 |
| 血钙(mmol/L) | 1.46±0.35 | 1.89±0.37 | t=8.856 | <0.001 |
| 血钾(mmol/L) | 3.86±0.43 | 3.92±0.47 | t=0.983 | 0.327 |
| 胱抑素C(mg/L) | 0.91±0.23 | 0.87±0.21 | t=1.377 | 0.170 |
| 血脂肪酶(U/L) | 391.24±38.62 | 386.24±37.21 | t=0.992 | 0.322 |
| 血淀粉酶(U/L) | 230.67±29.65 | 228.34±27.86 | t=0.612 | 0.541 |
| CTSI评分[例(%)] | | | χ2=9.823 | 0.002 |
| ≥4分 | 42(48.84) | 46(28.75) | | |
| <4分 | 44(51.16) | 114(71.25) | | |
| 随机血糖(mmol/L) | 17.68±4.12 | 11.68±4.27 | t=10.638 | <0.001 |
), ArticleFig(id=1317885817020854403, tenantId=1146029695717560320, journalId=1316781422847033486, articleId=1317885800931504172, language=EN, label=Table 3, caption=
Methods of assigning values to independent variables
, figureFileSmall=null, figureFileBig=null, tableContent=
| 自变量 | 赋值方式 |
|---|
| 年龄 | ≥60岁=1,<60岁=0 |
| 性别 | 男=1,女=0 |
| BMI | ≥24 kg/m2=1,<24 kg/m2=0 |
| 酒精性AP | 有=1,无=0 |
| 中重度AP | 有=1,无=0 |
| 血钙 | 连续变量 |
| CTSI评分 | ≥4分=1,<4分=0 |
| 随机血糖 | 连续变量 |
), ArticleFig(id=1317885817083768964, tenantId=1146029695717560320, journalId=1316781422847033486, articleId=1317885800931504172, language=CN, label=表3, caption=
自变量赋值方式
, figureFileSmall=null, figureFileBig=null, tableContent=
| 自变量 | 赋值方式 |
|---|
| 年龄 | ≥60岁=1,<60岁=0 |
| 性别 | 男=1,女=0 |
| BMI | ≥24 kg/m2=1,<24 kg/m2=0 |
| 酒精性AP | 有=1,无=0 |
| 中重度AP | 有=1,无=0 |
| 血钙 | 连续变量 |
| CTSI评分 | ≥4分=1,<4分=0 |
| 随机血糖 | 连续变量 |
), ArticleFig(id=1317885817163460741, tenantId=1146029695717560320, journalId=1316781422847033486, articleId=1317885800931504172, language=EN, label=Table 4, caption=
Analysis of influencing factors of PPDM-A
, figureFileSmall=null, figureFileBig=null, tableContent=
| 变量 | B值 | SE | Wald χ2 | P值 | OR | 95%CI |
|---|
| 年龄 | 0.062 | 0.016 | 15.094 | <0.001 | 1.064 | 1.031~1.097 |
| 性别 | 1.808 | 0.444 | 16.564 | <0.001 | 6.099 | 2.553~14.568 |
| BMI | 1.086 | 0.469 | 5.364 | 0.011 | 2.963 | 1.182~7.431 |
| 酒精性AP | 1.802 | 0.451 | 15.976 | <0.001 | 6.061 | 2.505~14.665 |
| 中重度AP | 0.964 | 0.436 | 4.901 | 0.027 | 2.623 | 1.117~6.161 |
| 血钙 | -2.255 | 0.535 | 17.736 | <0.001 | 0.105 | 0.037~0.300 |
| CTSI评分 | 1.101 | 0.248 | 19.736 | <0.001 | 3.006 | 1.850~4.885 |
| 随机血糖 | 0.361 | 0.064 | 31.730 | <0.001 | 1.435 | 1.266~1.627 |
| 常量 | -7.372 | 1.538 | 22.987 | <0.001 | 0.001 | — |
), ArticleFig(id=1317885817314455686, tenantId=1146029695717560320, journalId=1316781422847033486, articleId=1317885800931504172, language=CN, label=表4, caption=
PPDM-A的影响因素分析
, figureFileSmall=null, figureFileBig=null, tableContent=
| 变量 | B值 | SE | Wald χ2 | P值 | OR | 95%CI |
|---|
| 年龄 | 0.062 | 0.016 | 15.094 | <0.001 | 1.064 | 1.031~1.097 |
| 性别 | 1.808 | 0.444 | 16.564 | <0.001 | 6.099 | 2.553~14.568 |
| BMI | 1.086 | 0.469 | 5.364 | 0.011 | 2.963 | 1.182~7.431 |
| 酒精性AP | 1.802 | 0.451 | 15.976 | <0.001 | 6.061 | 2.505~14.665 |
| 中重度AP | 0.964 | 0.436 | 4.901 | 0.027 | 2.623 | 1.117~6.161 |
| 血钙 | -2.255 | 0.535 | 17.736 | <0.001 | 0.105 | 0.037~0.300 |
| CTSI评分 | 1.101 | 0.248 | 19.736 | <0.001 | 3.006 | 1.850~4.885 |
| 随机血糖 | 0.361 | 0.064 | 31.730 | <0.001 | 1.435 | 1.266~1.627 |
| 常量 | -7.372 | 1.538 | 22.987 | <0.001 | 0.001 | — |
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