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Correctness and Completeness of Breast Cancer Diagnoses Recorded in UK CPRD Aurum and CPRD GOLD Databases: Comparison to Hospital Episode Statistics and Cancer Registry (Companion Paper 2) 英国 CPRD Aurum 和 CPRD GOLD 数据库中记录的乳腺癌诊断的正确性和完整性:与医院病例统计和癌症登记的比较(配套文件 2)
IF 3.9 2区 医学 Q1 Medicine Pub Date : 2023-12-16 DOI: 10.2147/clep.s434829
Katrina Wilcox Hagberg, Catherine Vasilakis-Scaramozza, Rebecca Persson, David Neasham, George Kafatos, Susan Jick
Purpose: To evaluate the new Clinical Practice Research Datalink (CPRD) Aurum database, we estimated ‘correctness’ (ie accuracy, validity) and ‘completeness’ (ie presence, missingness) of malignant breast cancer diagnoses recorded in CPRD Aurum compared to external linked data sources: Hospital Episode Statistics (HES) Admitted Patient Care (APC), HES Outpatient (OP), and Cancer Registry (CR), and to the previously validated CPRD GOLD.
Methods: Linkage-eligible, female patients with incident malignant breast cancer diagnosis recorded in at least one study data source were selected. Correctness was the proportion of malignant breast cancer cases recorded in CPRD Aurum or GOLD who also had a diagnosis recorded in HES APC/OP (2004– 2019) or CR (2004– 2016). Completeness was estimated by identifying all malignant breast cancer diagnoses in HES APC/OP or CR and calculating the proportion with a concordant diagnosis in CPRD Aurum or GOLD.
Results: Compared to HES APC/OP, there were 85,659 and 31,452 eligible patients in CPRD Aurum and GOLD, respectively. Correctness estimates were high (CPRD Aurum 83.5%, GOLD 81.7%). Compared to CR, there were 70,190 and 29,597 eligible patients in CPRD Aurum and GOLD, respectively: correctness was 89.1% for CPRD Aurum and 88.2% for GOLD. Completeness estimates for CPRD Aurum and GOLD were high (> 90%). Diagnoses were recorded in CPRD Aurum within − 7 to 74 days of those in the linked sources. Reasons for discordant diagnostic coding included presence of treatment or other clinical codes only, diagnosis coded after end of follow-up, non-malignant breast cancer in linked data, and administrative codes in lieu of diagnostic codes.
Conclusion: These results indicate that correctness and completeness of malignant breast cancer diagnoses in CPRD Aurum were high and similar to CPRD GOLD. This provides confidence in use of CPRD Aurum for research purposes. Where complete case capture is important, researchers should consider linkage to HES APC or CR.

Keywords: CPRD Aurum, CPRD GOLD, breast cancer, validation
目的:为了评估新的临床实践研究数据链(CPRD)Aurum 数据库,我们评估了 CPRD Aurum 与外部链接数据源相比所记录的恶性乳腺癌诊断的 "正确性"(即准确性、有效性)和 "完整性"(即存在、遗漏):方法:将符合链接条件的女性乳腺癌患者与医院病历统计(Hospital Episode Statistics,HES)住院病人护理(Admitted Patient Care,APC)、HES 门诊病人护理(Outpatient Care,OP)、癌症登记(Cancer Registry,CR)以及之前经过验证的 CPRD GOLD 进行对比:方法:选取符合链接条件、至少在一个研究数据源中记录有恶性乳腺癌诊断的女性患者。正确性是指在 CPRD Aurum 或 GOLD 中记录的恶性乳腺癌病例中,同时在 HES APC/OP (2004-2019 年)或 CR(2004-2016 年)中也有诊断记录的病例所占比例。通过识别 HES APC/OP 或 CR 中的所有恶性乳腺癌诊断,并计算 CPRD Aurum 或 GOLD 中具有一致诊断的比例,来估计完整性:与 HES APC/OP 相比,CPRD Aurum 和 GOLD 中分别有 85,659 和 31,452 名符合条件的患者。正确率较高(CPRD Aurum 为 83.5%,GOLD 为 81.7%)。与 CR 相比,CPRD Aurum 和 GOLD 符合条件的患者人数分别为 70190 人和 29597 人:CPRD Aurum 的正确率为 89.1%,GOLD 为 88.2%。CPRD Aurum 和 GOLD 的完整性估计值较高(90%)。CPRD Aurum 中的诊断记录与链接来源中的诊断记录相差 7 至 74 天。诊断编码不一致的原因包括:仅存在治疗或其他临床编码、随访结束后才进行诊断编码、链接数据中存在非恶性乳腺癌,以及以行政编码代替诊断编码:这些结果表明,CPRD Aurum 中恶性乳腺癌诊断的正确性和完整性很高,与 CPRD GOLD 相似。这为将 CPRD Aurum 用于研究目的提供了信心。如果完整的病例采集非常重要,研究人员应考虑与HES APC或CR建立联系:CPRD Aurum、CPRD GOLD、乳腺癌、验证
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引用次数: 0
The Epidemiology of Bile Acid Diarrhea in Denmark [Letter] 丹麦胆汁酸腹泻的流行病学[信]
IF 3.9 2区 医学 Q1 Medicine Pub Date : 2023-12-15 DOI: 10.2147/clep.s454145
Elanda Fikri
Letter for the article The Epidemiology of Bile Acid Diarrhea in Denmark
为《丹麦胆汁酸腹泻的流行病学》一文撰写的信件
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引用次数: 0
The Epidemiology of Bile Acid Diarrhea in Denmark [Letter] 丹麦胆汁酸腹泻的流行病学[信]
IF 3.9 2区 医学 Q1 Medicine Pub Date : 2023-12-15 DOI: 10.2147/clep.s453992
Demes Nurmayanti, Alkausyari Aziz, Khayan Khayan
Letter for the article The Epidemiology of Bile Acid Diarrhea in Denmark
为《丹麦胆汁酸腹泻的流行病学》一文撰写的信件
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引用次数: 0
The Epidemiology of Bile Acid Diarrhea in Denmark 丹麦的胆汁酸腹泻流行病学
IF 3.9 2区 医学 Q1 Medicine Pub Date : 2023-12-07 DOI: 10.2147/clep.s442054
Martin L Kårhus, Anne-Marie Ellegaard, Matilde Winther-Jensen, Susanne Hansen, Filip K Knop, Line L Kårhus
Objective: Bile acid diarrhea (BAD) is a socially debilitating disease with frequent bowel movements, urgency, and fecal incontinence as the main symptoms. It is caused by excessive bile acid levels in the colon and is most commonly treated with bile acid sequestrants. It is estimated that 1– 2% of the population suffers from the disease, but only a fraction of these are properly diagnosed with the gold standard ⁷⁵selenium-homotaurocholic acid (SeHCAT) test. Here, we use nationwide registries to describe the demographic characteristics of individuals suffering from BAD in Denmark.
Methods: Since the International Classification of Diseases diagnosis code for BAD was not used until 2021, we identified the BAD population by referral to SeHCAT testing followed by a prescription of a bile acid sequestrant (colestyramine, colestipol or colesevelam) within 365 days. The study period was from 2003 to 2021.
Results: During the study period, a total of 5264 individuals with BAD were identified with large differences between the five regions in Denmark. The number of prescriptions of colestyramine and colesevelam, the number of SeHCAT tests, and the number of individuals diagnosed with BAD increased during the study period. The BAD population had more co-morbidities and more health care contacts as well as lower levels of education and income compared with age- and sex-matched controls from the general population.
Conclusion: Using the Danish registries, we identified a BAD population, which seems to be inferior in health care and socio-economic parameters compared with the Danish general population.

Keywords: Bile acid diarrhea, epidemiology, nationwide registries
目的:胆汁酸腹泻(BAD)是一种使人衰弱的社会性疾病,主要症状为排便频繁、里急后重和大便失禁。它是由结肠中胆汁酸水平过高引起的,最常见的治疗方法是使用胆汁酸螯合剂。据估计,1%- 2% 的人口患有此病,但其中只有一小部分人能够通过黄金标准⁷⁵硒-高陶胆酸(SeHCAT)检测得到正确诊断。在此,我们利用全国性的登记资料来描述丹麦 BAD 患者的人口统计学特征:由于 BAD 的国际疾病分类诊断代码要到 2021 年才开始使用,因此我们通过转诊进行 SeHCAT 检测,并在 365 天内开具胆汁酸螯合剂(可乐定、可乐定或可乐司维兰)处方来确定 BAD 患者。研究时间为 2003 年至 2021 年:在研究期间,共发现了 5264 名胆汁淤积症患者,丹麦的五个地区之间存在很大差异。在研究期间,可乐定和可乐定的处方数量、SeHCAT 检测次数以及被诊断为 BAD 的人数都有所增加。与年龄和性别相匹配的普通人群对照组相比,BAD人群的合并疾病更多,接触的医疗服务更多,教育程度和收入水平也更低:通过丹麦登记,我们发现了一个胆汁酸腹泻人群,与丹麦普通人群相比,该人群的医疗保健和社会经济参数似乎较低:胆汁酸腹泻、流行病学、全国性登记
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引用次数: 0
Screening History and 7-Year Survival in 32,099 Colorectal Cancer Patients: A Population-Based Cohort Study [Letter] 32,099 名结直肠癌患者的筛查史与 7 年生存率:基于人群的队列研究 [信]
IF 3.9 2区 医学 Q1 Medicine Pub Date : 2023-12-07 DOI: 10.2147/clep.s451619
Slamet Wardoyo, Taufik Anwar
Letter for the article Screening History and 7-Year Survival in 32,099 Colorectal Cancer Patients: A Population-Based Cohort Study
致信 32,099 名结直肠癌患者的筛查史和 7 年生存率:基于人群的队列研究
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引用次数: 0
Age-Dependent Association Between Body Mass Index and All-Cause Mortality Among Patients with Hypertension: A Longitudinal Population-Based Cohort Study in China 中国高血压患者体重指数与全因死亡率的年龄相关性:一项基于人群的纵向队列研究
IF 3.9 2区 医学 Q1 Medicine Pub Date : 2023-12-07 DOI: 10.2147/clep.s442162
Yifang Huang, Jiahuan Peng, Weibing Wang, Xueying Zheng, Guoyou Qin, Huilin Xu
Purpose: The association between body mass index (BMI) and all-cause mortality may vary among hypertensive patients of different ages. This study aimed to investigate the age-dependent association between BMI and all-cause mortality among patients with hypertension. Patients and Methods: A total of 212,394 participants with hypertension aged 20–85 years from Minhang Hypertension Standardization Management System in Shanghai of China were included. Follow-up began at the time when individuals were first recorded and ended at death, loss to follow-up, or December 31, 2018, whichever came first. Additive Cox proportional hazards models with thin plate smoothing functions and conventional Cox proportional hazards models were adopted to examine the relationship between BMI, age, and mortality. The joint effect of BMI and age on mortality was assessed using a bivariate response model. Results: We found that the BMI–mortality relationship followed a U-shaped pattern, with a trough at 26–27 kg/m 2 . Compared with normal weight, underweight was associated with a 50% increased risk of premature mortality (hazard ratio 1.50, 95% confidence interval 1.43 to 1.57). Whereas among those aged 45–59 and 60–85 years, overweight was associated with 13% (0.87, 0.80 to 0.94) and 18% (0.82, 0.80 to 0.84) reduction in risk of death, respectively. Bivariate response model indicated a significant interaction between BMI and age (P < 0.05). Among younger and older patients, we found a descending trend for mortality risk, with BMI increasing at different age levels, whereas a reverse J-shaped relation pattern was observed among middle-aged patients. Conclusion: The impact of BMI on all-cause mortality in hypertensive patients varies with age, and moderate weight gain may benefit longevity in middle-aged and older patients.
目的:不同年龄的高血压患者身体质量指数(BMI)与全因死亡率的关系可能不同。本研究旨在探讨高血压患者BMI与全因死亡率之间的年龄依赖关系。患者和方法:从中国上海闵行高血压标准化管理系统中纳入年龄在20 - 85岁的高血压患者212394例。随访从个人首次记录时开始,并于死亡、随访失败或2018年12月31日结束,以先到者为准。采用带薄板平滑函数的加性Cox比例风险模型和常规Cox比例风险模型检验BMI、年龄和死亡率之间的关系。使用双变量反应模型评估BMI和年龄对死亡率的联合影响。结果:bmi与死亡率呈u型关系,在26 ~ 27 kg/m2时呈波谷。与正常体重相比,体重过轻与过早死亡风险增加50%相关(风险比1.50,95%可信区间1.43 ~ 1.57)。而在45 - 59岁和60 - 85岁的人群中,超重分别与13%(0.87,0.80至0.94)和18%(0.82,0.80至0.84)的死亡风险降低相关。双变量反应模型显示BMI与年龄之间存在显著的相互作用(P <0.05)。在年轻和老年患者中,我们发现死亡率风险呈下降趋势,BMI在不同年龄水平呈上升趋势,而在中年患者中则呈反j型关系。结论:BMI对高血压患者全因死亡率的影响随年龄的不同而不同,适度的体重增加可能有利于中老年患者的长寿。关键词:体重指数,年龄,全因死亡率,高血压,广义加性模型
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引用次数: 0
Health Inequality in Eight Adverse Outcomes Over a 25-Year Period in a Multi-Ethnic Population in New Zealand Population with Impaired Glucose Tolerance and/or Impaired Fasting Glucose: An Age-Period-Cohort Analysis 25年期间,新西兰多种族人群中糖耐量受损和/或空腹血糖受损的8种不良结局的健康不平等:一项年龄-时期队列分析
IF 3.9 2区 医学 Q1 Medicine Pub Date : 2023-12-06 DOI: 10.2147/clep.s433714
Zheng Wang, Dahai Yu, Uchechukwu Levi Osuagwu, Karen Pickering, John Baker, Richard Cutfield, Yamei Cai, Brandon J Orr-Walker, Gerhard Sundborn, Zhanzheng Zhao, David Simmons
Purpose: We aimed to examine socioeconomic inequality (SI) in cause-specific outcomes among adults with impaired glucose tolerance (IGT) and/or Impaired fasting glucose (IFG) in New Zealand (NZ) over 25 years.
Patients and Methods: A population-based open cohort was derived from Diabetes Care Support Service in NZ with national databases linkage. Patients aged ≥ 18 years with IGT and/or IFG were enrolled between 01/01/1994 and 31/07/2018 and followed up until death or 31/12/2018. Incident outcomes (all-cause, premature, cardiovascular, and cancer death; cardiovascular, myocardial infarction, stroke, heart failure, and end-stage kidney disease hospitalization) by demographic, anthropometric, socioeconomic status, clinical measurements, enrol-time-periods, and IGT/IFG were evaluated. Adjusted incidence rate ratios, absolute risk difference, and SI measurements (slope and relative index of inequality) were estimated using Age-Period-Cohort models.
Results: 29,894 patients (58.5 (SD 14.3) years mean age; 52.2% female) were enrolled with 5.6 (IQR: 4.4– 7.4) years of median follow-up. Mortality rates decreased, whereas hospitalization (except myocardial infarction) rates increased. SI was significant for each outcome. Higher mortality and hospitalization rates and worsened SI were common in men, older, the most deprived, and M&amacrori patients, as well as patients with obesity, current smoking, with both IFG and IGT, and greater metabolic derangement (higher systolic blood pressure, lipids, and HbA1c, and lower level of mean arterial pressure).
Conclusion: Enhanced management strategies are necessary for people with IGT and/or IFG to address persisting SI, especially for men, older people, current smokers, NZ European and M&amacrori patients, patients with obesity, or with any abnormal metabolic measurements.

Keywords: impaired glucose tolerance, impaired fasting glucose, New Zealand, M&amacrori, ethnic disparity, socioeconomic inequality, mortality, cardiovascular diseases, heart failure, cancer, end-stage renal disease
目的:我们旨在研究25年来新西兰(NZ)糖耐量受损(IGT)和/或空腹血糖受损(IFG)的成人病因特异性结局中的社会经济不平等(SI)。患者和方法:一个基于人群的开放队列来源于新西兰糖尿病护理支持服务中心与国家数据库连接。年龄≥18岁的IGT和/或IFG患者在1994年1月1日至2018年7月31日期间入组,随访至死亡或2018年12月31日。事件结局(全因死亡、过早死亡、心血管死亡和癌症死亡;通过人口统计学、人体测量学、社会经济地位、临床测量、入组时间和IGT/IFG对心血管、心肌梗死、中风、心力衰竭和终末期肾病住院进行评估。使用年龄-时期-队列模型估计调整后的发病率比、绝对风险差和SI测量(斜率和相对不平等指数)。结果:29,894例患者(平均年龄58.5岁(SD 14.3);52.2%为女性),中位随访时间为5.6年(IQR: 4.4 - 7.4)。死亡率下降,而住院率(心肌梗死除外)上升。SI对每个结果都有显著意义。较高的死亡率和住院率以及恶化的SI常见于男性、老年、最贫困和M&amacrori患者,以及肥胖、当前吸烟、IFG和IGT同时存在、代谢紊乱(收缩压、血脂和HbA1c较高,平均动脉压较低)的患者。结论:对于IGT和/或IFG患者,特别是男性、老年人、当前吸烟者、新西兰欧洲和M&amacrori患者、肥胖患者或任何代谢测量异常的患者,加强管理策略是必要的。关键词:糖耐量受损,空腹血糖受损,新西兰,M&, amacrori,种族差异,社会经济不平等,死亡率,心血管疾病,心力衰竭,癌症,终末期肾病
{"title":"Health Inequality in Eight Adverse Outcomes Over a 25-Year Period in a Multi-Ethnic Population in New Zealand Population with Impaired Glucose Tolerance and/or Impaired Fasting Glucose: An Age-Period-Cohort Analysis","authors":"Zheng Wang, Dahai Yu, Uchechukwu Levi Osuagwu, Karen Pickering, John Baker, Richard Cutfield, Yamei Cai, Brandon J Orr-Walker, Gerhard Sundborn, Zhanzheng Zhao, David Simmons","doi":"10.2147/clep.s433714","DOIUrl":"https://doi.org/10.2147/clep.s433714","url":null,"abstract":"<strong>Purpose:</strong> We aimed to examine socioeconomic inequality (SI) in cause-specific outcomes among adults with impaired glucose tolerance (IGT) and/or Impaired fasting glucose (IFG) in New Zealand (NZ) over 25 years.<br/><strong>Patients and Methods:</strong> A population-based open cohort was derived from Diabetes Care Support Service in NZ with national databases linkage. Patients aged ≥ 18 years with IGT and/or IFG were enrolled between 01/01/1994 and 31/07/2018 and followed up until death or 31/12/2018. Incident outcomes (all-cause, premature, cardiovascular, and cancer death; cardiovascular, myocardial infarction, stroke, heart failure, and end-stage kidney disease hospitalization) by demographic, anthropometric, socioeconomic status, clinical measurements, enrol-time-periods, and IGT/IFG were evaluated. Adjusted incidence rate ratios, absolute risk difference, and SI measurements (slope and relative index of inequality) were estimated using Age-Period-Cohort models.<br/><strong>Results:</strong> 29,894 patients (58.5 (SD 14.3) years mean age; 52.2% female) were enrolled with 5.6 (IQR: 4.4– 7.4) years of median follow-up. Mortality rates decreased, whereas hospitalization (except myocardial infarction) rates increased. SI was significant for each outcome. Higher mortality and hospitalization rates and worsened SI were common in men, older, the most deprived, and M&amp;amacrori patients, as well as patients with obesity, current smoking, with both IFG and IGT, and greater metabolic derangement (higher systolic blood pressure, lipids, and HbA1c, and lower level of mean arterial pressure).<br/><strong>Conclusion:</strong> Enhanced management strategies are necessary for people with IGT and/or IFG to address persisting SI, especially for men, older people, current smokers, NZ European and M&amp;amacrori patients, patients with obesity, or with any abnormal metabolic measurements.<br/><br/><strong>Keywords:</strong> impaired glucose tolerance, impaired fasting glucose, New Zealand, M&amp;amacrori, ethnic disparity, socioeconomic inequality, mortality, cardiovascular diseases, heart failure, cancer, end-stage renal disease<br/>","PeriodicalId":10362,"journal":{"name":"Clinical Epidemiology","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138524603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An Explainable Machine Learning Model to Predict Acute Kidney Injury After Cardiac Surgery: A Retrospective Cohort Study 一个可解释的机器学习模型预测心脏手术后急性肾损伤:一项回顾性队列研究
IF 3.9 2区 医学 Q1 Medicine Pub Date : 2023-12-04 DOI: 10.2147/clep.s404580
Yuchen Gao, Chunrong Wang, Wenhao Dong, Bianfang Li, Jianhui Wang, Jun Li, Yu Tian, Jia Liu, Yuefu Wang
Background: To derive and validate a machine learning (ML) prediction model of acute kidney injury (AKI) that could be used for AKI surveillance and management to improve clinical outcomes.
Methods: This retrospective cohort study was conducted in Fuwai Hospital, including patients aged 18 years and above undergoing cardiac surgery admitted between January 1, 2017, and December 31, 2018. Seventy percent of the observations were randomly selected for training and the remaining 30% for testing. The demographics, comorbidities, laboratory examination parameters, and operation details were used to construct a prediction model for AKI by logistic regression and eXtreme gradient boosting (Xgboost). The discrimination of each model was assessed on the test cohort by the area under the receiver operator characteristic (AUROC) curve, while calibration was performed by the calibration plot.
Results: A total of 15,880 patients were enrolled in this study, and 4845 (30.5%) had developed AKI. Xgboost model had the higher discriminative ability compared with logistic regression (AUROC, 0.849 [95% CI, 0.837– 0.861] vs 0.803[95% CI 0.790– 0.817], P< 0.001) in the test dataset. The estimated glomerular filtration (eGFR) and creatine on intensive care unit (ICU) arrival are the two most important prediction parameters. A SHAP summary plot was used to illustrate the effects of the top 15 features attributed to the Xgboost model.
Conclusion: ML models can provide clinical decision support to determine which patients should focus on perioperative preventive treatment to preemptively reduce acute kidney injury by predicting which patients are not at risk.

背景:推导并验证急性肾损伤(AKI)的机器学习(ML)预测模型,该模型可用于AKI的监测和管理,以改善临床结果。方法:本回顾性队列研究在阜外医院进行,纳入2017年1月1日至2018年12月31日住院的18岁及以上心脏手术患者。70%的观察对象被随机选择用于训练,剩下的30%用于测试。利用人口统计学、合并症、实验室检查参数和手术细节,采用logistic回归和极限梯度增强(Xgboost)方法构建AKI预测模型。通过接收算子特征曲线下面积(AUROC)评估各模型在试验队列中的判别性,并通过校准图进行校准。结果:本研究共纳入15880例患者,其中4845例(30.5%)发生AKI。与logistic回归相比,Xgboost模型具有更高的判别能力(AUROC, 0.849 [95% CI, 0.837 - 0.861] vs 0.803[95% CI 0.790 - 0.817], P<0.001)。重症监护病房(ICU)到达时估计的肾小球滤过(eGFR)和肌酸是两个最重要的预测参数。使用SHAP总结图来说明归因于Xgboost模型的前15个特性的影响。结论:ML模型可以通过预测哪些患者无危险,为确定哪些患者围手术期应重点进行预防性治疗,先发制人地减少急性肾损伤提供临床决策支持。
{"title":"An Explainable Machine Learning Model to Predict Acute Kidney Injury After Cardiac Surgery: A Retrospective Cohort Study","authors":"Yuchen Gao, Chunrong Wang, Wenhao Dong, Bianfang Li, Jianhui Wang, Jun Li, Yu Tian, Jia Liu, Yuefu Wang","doi":"10.2147/clep.s404580","DOIUrl":"https://doi.org/10.2147/clep.s404580","url":null,"abstract":"<strong>Background:</strong> To derive and validate a machine learning (ML) prediction model of acute kidney injury (AKI) that could be used for AKI surveillance and management to improve clinical outcomes.<br/><strong>Methods:</strong> This retrospective cohort study was conducted in Fuwai Hospital, including patients aged 18 years and above undergoing cardiac surgery admitted between January 1, 2017, and December 31, 2018. Seventy percent of the observations were randomly selected for training and the remaining 30% for testing. The demographics, comorbidities, laboratory examination parameters, and operation details were used to construct a prediction model for AKI by logistic regression and eXtreme gradient boosting (Xgboost). The discrimination of each model was assessed on the test cohort by the area under the receiver operator characteristic (AUROC) curve, while calibration was performed by the calibration plot.<br/><strong>Results:</strong> A total of 15,880 patients were enrolled in this study, and 4845 (30.5%) had developed AKI. Xgboost model had the higher discriminative ability compared with logistic regression (AUROC, 0.849 [95% CI, 0.837– 0.861] vs 0.803[95% CI 0.790– 0.817], <em>P</em>&lt; 0.001) in the test dataset. The estimated glomerular filtration (eGFR) and creatine on intensive care unit (ICU) arrival are the two most important prediction parameters. A SHAP summary plot was used to illustrate the effects of the top 15 features attributed to the Xgboost model.<br/><strong>Conclusion:</strong> ML models can provide clinical decision support to determine which patients should focus on perioperative preventive treatment to preemptively reduce acute kidney injury by predicting which patients are not at risk.<br/><br/>","PeriodicalId":10362,"journal":{"name":"Clinical Epidemiology","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2023-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138524565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The Danish Atrial Fibrillation Registry: A Multidisciplinary National Pragmatic Initiative for Monitoring and Supporting Quality of Care Based on Data Retrieved from Administrative Registries 丹麦心房颤动登记:基于从行政登记处获取的数据监测和支持医疗质量的多学科国家实用计划
IF 3.9 2区 医学 Q1 Medicine Pub Date : 2023-12-01 DOI: 10.2147/clep.s443473
Lars Frost, Albert Joensen, Ulla Dam-Schmidt, I. Qvist, Margit Brinck, Axel Brandes, Ulla Davidsen, Ole Pedersen, Dorte Damgaard, Inge Mølgaard, Robert Bedsted, Anders Damgaard Møller Schlünsen, Miriam Grijota Chousa, Julie Andersen, Asger Pedersen, S. P. Johnsen, N. Vinter
{"title":"The Danish Atrial Fibrillation Registry: A Multidisciplinary National Pragmatic Initiative for Monitoring and Supporting Quality of Care Based on Data Retrieved from Administrative Registries","authors":"Lars Frost, Albert Joensen, Ulla Dam-Schmidt, I. Qvist, Margit Brinck, Axel Brandes, Ulla Davidsen, Ole Pedersen, Dorte Damgaard, Inge Mølgaard, Robert Bedsted, Anders Damgaard Møller Schlünsen, Miriam Grijota Chousa, Julie Andersen, Asger Pedersen, S. P. Johnsen, N. Vinter","doi":"10.2147/clep.s443473","DOIUrl":"https://doi.org/10.2147/clep.s443473","url":null,"abstract":"","PeriodicalId":10362,"journal":{"name":"Clinical Epidemiology","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139023429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Absence of Coronary Artery Disease is a Strong Negative Predictor of Major Adverse Cardiovascular Events in Patients with Chronic Kidney Disease. 无冠状动脉疾病是慢性肾病患者主要不良心血管事件的一个强有力的阴性预测因子。
IF 3.9 2区 医学 Q1 Medicine Pub Date : 2023-11-29 eCollection Date: 2023-01-01 DOI: 10.2147/CLEP.S433983
Pernille Tilma Tonnesen, Kevin Kris Warnakula Olesen, Pernille Gro Thrane, Christine Gyldenkerne, Christian Daugaard Peters, Niels Henrik Buus, Michael Maeng

Purpose: To investigate the interplay between chronic kidney disease (CKD) and coronary artery disease (CAD) on the incidence of cardiovascular events in patients with suspected chronic coronary syndrome (CCS).

Patients and methods: Patients with suspected CCS who underwent first-time coronary angiography in Western Denmark between 2003 and 2016 were included in this cohort study. Moreover, an age- and sex-matched general population cohort was established. Patients were stratified according to estimated glomerular filtration rate (eGFR). Presence of CAD was defined as ≥1 obstructive stenosis or non-obstructive diffuse disease. Major adverse cardiovascular events (MACE) were defined as a composite of myocardial infarction, ischemic stroke, and cardiac death.

Results: A total of 42,611 patients were included with a median follow-up of 7.3 years. Patients without and with CAD had MACE rates per 100 person-years that were 0.52 and 1.67 for eGFR ≥90 mL/min/1.73 m2, 0.68 and 2.09 for eGFR 60-89 mL/min/1.73 m2, 1.27 and 3.85 for eGFR 30-59 mL/min/1.73 m2, and 2.27 and 6.92 for eGFR <30 mL/min/1.73 m2. Comparing to eGFR ≥90 mL/min/1.73 m2, the adjusted incidence rate ratios for MACE were 1.29 (1.10-1.51) for eGFR 60-89 mL/min/1.73 m2, 1.86 (1.49-2.33) for eGFR 30-59 mL/min/1.73 m2, and 3.57 (1.92-6.67) for eGFR <30 mL/min/1.73 m2 in patients without CAD, and 1.11 (1.03-1.20), 1.71 (1.55-1.90), and 2.46 (1.96-3.09) in patients with CAD. The inverse relationship between kidney function and risk of MACE was confirmed when comparing patients with and without CAD to matched individuals in the general population.

Conclusion: Absence of CAD is a strong negative predictor of major adverse cardiovascular events in patients with CKD.

目的:探讨慢性肾脏疾病(CKD)和冠状动脉疾病(CAD)在疑似慢性冠状动脉综合征(CCS)患者心血管事件发生率中的相互作用。患者和方法:2003年至2016年在丹麦西部首次接受冠状动脉造影的疑似CCS患者纳入本队列研究。此外,还建立了年龄和性别匹配的普通人群队列。根据估计的肾小球滤过率(eGFR)对患者进行分层。冠心病定义为≥1例梗阻性狭窄或非梗阻性弥漫性疾病。主要不良心血管事件(MACE)定义为心肌梗死、缺血性卒中和心源性死亡的复合事件。结果:共纳入42611例患者,中位随访时间为7.3年。无CAD和有CAD的患者每100人年的MACE率分别为:eGFR≥90 mL/min/1.73 m2的MACE率分别为0.52和1.67,eGFR 60-89 mL/min/1.73 m2的MACE率分别为0.68和2.09,eGFR 30-59 mL/min/1.73 m2的MACE率分别为1.27和3.85,eGFR 2的MACE率分别为2.27和6.92。与eGFR≥90 mL/min/1.73 m2相比,非CAD患者eGFR 60-89 mL/min/1.73 m2的MACE校正发病率比为1.29 (1.10-1.51),eGFR 30-59 mL/min/1.73 m2的MACE校正发病率比为1.86 (1.49-2.33),eGFR 2校正发病率比为3.57 (1.92-6.67),CAD患者为1.11(1.03-1.20)、1.71(1.55-1.90)、2.46(1.96-3.09)。当将患有和不患有CAD的患者与普通人群中的匹配个体进行比较时,证实了肾功能与MACE风险之间的负相关关系。结论:无CAD是CKD患者主要不良心血管事件的强烈阴性预测因子。
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引用次数: 0
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Clinical Epidemiology
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