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Chen Y, Deng X, Lin D, Yang P, Wu S, Wang X, Zhou H, Chen X, Wang X, Wu W, Ke K, Huang W, Tan X. Predicting 1-, 3-, 5-, and 8-year all-cause mortality in a community-dwelling older adult cohort: relevance for predictive, preventive, and personalized medicine. EPMA J 2023; 14:713-726. [PMID: 38094581 PMCID: PMC10713970 DOI: 10.1007/s13167-023-00342-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 10/14/2023] [Indexed: 02/29/2024]
Abstract
BACKGROUND Population aging is a global public health issue involving increased prevalence of age-related diseases, and concomitant burden on medical resources and the economy. Ninety-two diseases have been identified as age-related, accounting for 51.3% of the global adult disease burden. The economic cost per capita for older people over 60 years is 10 times that of the younger population. From the aspects of predictive, preventive, and personalized medicine (PPPM), developing a risk-prediction model can help identify individuals at high risk for all-cause mortality and provide an opportunity for targeted prevention through personalized intervention at an early stage. However, there is still a lack of predictive models to help community-dwelling older adults do well in healthcare. OBJECTIVES This study aims to develop an accurate 1-, 3-, 5-, and 8-year all-cause mortality risk-prediction model by using clinical multidimensional variables, and investigate risk factors for 1-, 3-, 5-, and 8-year all-cause mortality in community-dwelling older adults to guide primary prevention. METHODS This is a two-center cohort study. Inclusion criteria: (1) community-dwelling adult, (2) resided in the districts of Chaonan or Haojiang for more than 6 months in the past 12 months, and (3) completed a health examination. Exclusion criteria: (1) age less than 60 years, (2) more than 30 incomplete variables, (3) no signed informed consent. The primary outcome of the study was all-cause mortality obtained from face-to-face interviews, telephone interviews, and the medical death database from 2012 to 2021. Finally, we enrolled 5085 community-dwelling adults, 60 years and older, who underwent routine health screening in the Chaonan and Haojiang districts, southern China, from 2012 to 2021. Of them, 3091 participants from Chaonan were recruited as the primary training and internal validation study cohort, while 1994 participants from Haojiang were recruited as the external validation cohort. A total of 95 clinical multidimensional variables, including demographics, lifestyle behaviors, symptoms, medical history, family history, physical examination, laboratory tests, and electrocardiogram (ECG) data were collected to identify candidate risk factors and characteristics. Risk factors were identified using least absolute shrinkage and selection operator (LASSO) models and multivariable Cox proportional hazards regression analysis. A nomogram predictive model for 1-, 3-, 5- and 8-year all-cause mortality was constructed. The accuracy and calibration of the nomogram prediction model were assessed using the concordance index (C-index), integrated Brier score (IBS), receiver operating characteristic (ROC), and calibration curves. The clinical validity of the model was assessed using decision curve analysis (DCA). RESULTS Nine independent risk factors for 1-, 3-, 5-, and 8-year all-cause mortality were identified, including increased age, male, alcohol status, higher daily liquor consumption, history of cancer, elevated fasting glucose, lower hemoglobin, higher heart rate, and the occurrence of heart block. The acquisition of risk factor criteria is low cost, easily obtained, convenient for clinical application, and provides new insights and targets for the development of personalized prevention and interventions for high-risk individuals. The areas under the curve (AUC) of the nomogram model were 0.767, 0.776, and 0.806, and the C-indexes were 0.765, 0.775, and 0.797, in the training, internal validation, and external validation sets, respectively. The IBS was less than 0.25, which indicates good calibration. Calibration and decision curves showed that the predicted probabilities were in good agreement with the actual probabilities and had good clinical predictive value for PPPM. CONCLUSION The personalized risk prediction model can identify individuals at high risk of all-cause mortality, help offer primary care to prevent all-cause mortality, and provide personalized medical treatment for these high-risk individuals from the PPPM perspective. Strict control of daily liquor consumption, lowering fasting glucose, raising hemoglobin, controlling heart rate, and treatment of heart block could be beneficial for improving survival in elderly populations. SUPPLEMENTARY INFORMATION The online version contains supplementary material available at 10.1007/s13167-023-00342-4.
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Affiliation(s)
- Yequn Chen
- Department of Community Monitoring, First Affiliated Hospital of Shantou University Medical College, Shantou, 515041 Guangdong China
| | - Xiulian Deng
- Department of Community Monitoring, First Affiliated Hospital of Shantou University Medical College, Shantou, 515041 Guangdong China
| | - Dong Lin
- Department of Community Monitoring, First Affiliated Hospital of Shantou University Medical College, Shantou, 515041 Guangdong China
- Centre for Precision Health, Edith Cowan University, Perth, WA 6027 Australia
| | - Peixuan Yang
- Department of Health Management Centre, First Affiliated Hospital of Shantou University Medical College, Shantou, 515041 Guangdong China
| | - Shiwan Wu
- Department of Community Monitoring, First Affiliated Hospital of Shantou University Medical College, Shantou, 515041 Guangdong China
| | - Xidong Wang
- Department of Community Monitoring, First Affiliated Hospital of Shantou University Medical College, Shantou, 515041 Guangdong China
| | - Hui Zhou
- Department of Community Monitoring, First Affiliated Hospital of Shantou University Medical College, Shantou, 515041 Guangdong China
| | - Ximin Chen
- Department of Community Monitoring, First Affiliated Hospital of Shantou University Medical College, Shantou, 515041 Guangdong China
| | - Xiaochun Wang
- Department of Community Monitoring, First Affiliated Hospital of Shantou University Medical College, Shantou, 515041 Guangdong China
| | - Weichai Wu
- Department of Community Monitoring, First Affiliated Hospital of Shantou University Medical College, Shantou, 515041 Guangdong China
| | - Kaibing Ke
- Department of Community Monitoring, First Affiliated Hospital of Shantou University Medical College, Shantou, 515041 Guangdong China
| | - Wenjia Huang
- Department of Community Monitoring, First Affiliated Hospital of Shantou University Medical College, Shantou, 515041 Guangdong China
| | - Xuerui Tan
- Clinical Research Centre, First Affiliated Hospital of Shantou University Medical College, No. 22 Xinling Road, Jinping District, Shantou, 515041 Guangdong China
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Alkindi F, El-Menyar A, Al-Suwaidi J, Patel A, Gehani AA, Singh R, Albinali H, Arabi A. Left Bundle Branch Block in Acute Cardiac Events: Insights From a 23-Year Registry. Angiology 2014; 66:811-7. [PMID: 25477500 DOI: 10.1177/0003319714560223] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Between 1991 and 2013, we evaluated the demographics, presentations, and final diagnosis of patients hospitalized with acute cardiac events and left bundle branch block (LBBB). Of 50 992 patients, 768 (1.5%) had LBBB. Compared with non-LBBB patients, patients with LBBB were mostly older, female, diabetic, and had hypertension and chronic kidney failure (CKF; P < .001 for all). Dyspnea (P < .001) and dizziness (P = .037) were more frequent in patients with LBBB. The most frequent cause of admission with LBBB was congestive heart failure (CHF; 54.2%), followed by ST-elevation myocardial infarction (STEMI; 13.3%), valvular heart disease (9.4%), unstable angina (8.3%) and Non-STEMI (7.7%). On multivariate analysis, CKF (odds ratio [OR]: 2.02, 95% confidence interval [CI]: 1.09-3.70) and LBBB (OR: 2.96, 95% CI: 2.01-4.42) were predictors of in-hospital mortality in the entire study population. Further analysis of patients with LBBB showed that CKF (OR: 2.93, 95% CI: 1.40-6.12) was the only predictor of in-hospital mortality. Regardless the presenting symptoms, CHF was the final diagnosis in most cases with LBBB.
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Affiliation(s)
- Fahad Alkindi
- Department of Cardiology and Cardiovascular Surgery, Heart Hospital, HMC, Doha, Qatar
| | - Ayman El-Menyar
- Department of Clinical Medicine, Weill Cornell Medical School, Ar-Rayyan, Qatar Clinical Research, Trauma Section, Hamad Medical Corporation, Doha, Qatar Internal Medicine, Cardiology Section, Ahmed Maher Teaching Hospital, Cairo, Egypt
| | - Jassim Al-Suwaidi
- Department of Cardiology and Cardiovascular Surgery, Heart Hospital, HMC, Doha, Qatar
| | - Ashfaq Patel
- Department of Cardiology and Cardiovascular Surgery, Heart Hospital, HMC, Doha, Qatar
| | - Abdurrazzak A Gehani
- Department of Cardiology and Cardiovascular Surgery, Heart Hospital, HMC, Doha, Qatar
| | - Rajvir Singh
- Cardiovascular Research, Heart Hospital, Hamad Medical Corporation, Doha, Qatar
| | - Hajar Albinali
- Department of Cardiology and Cardiovascular Surgery, Heart Hospital, HMC, Doha, Qatar
| | - Abdulrahman Arabi
- Department of Cardiology and Cardiovascular Surgery, Heart Hospital, HMC, Doha, Qatar
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Ling Z, Liu Z, Su L, Zipunnikov V, Wu J, Du H, Woo K, Chen S, Zhong B, Lan X, Fan J, Xu Y, Chen W, Yin Y, Nazarian S, Zrenner B. Radiofrequency Ablation Versus Antiarrhythmic Medication for Treatment of Ventricular Premature Beats From the Right Ventricular Outflow Tract. Circ Arrhythm Electrophysiol 2014; 7:237-43. [DOI: 10.1161/circep.113.000805] [Citation(s) in RCA: 147] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background—
The purpose of this study was to compare the efficacy of radiofrequency catheter ablation (RFCA) versus antiarrhythmic drugs (AADs) for treatment of patients with frequent ventricular premature beats (VPBs) originating from the right ventricular outflow tract (RVOT).
Methods and Results—
A total of 330 eligible patients were included in the study and were randomly assigned to RFCA or AADs group. The absolute number and the burden of VPBs on 12-lead Holter monitors were measured at baseline and at 1st, 3rd, 6th, and 12th months after randomization. Left ventricular eject fraction was evaluated by transthoracic echocardiogram at baseline and at 3 and 6 months after randomization. During the 1-year follow-up period, VPB recurrence was significantly lower in patients randomized to RFCA group (32 patients, 19.4%) versus AADs group (146 patients, 88.6%;
P
<0.001, log-rank test). In a Poisson generalized estimating equations (GEE) regression model, RFCA was associated with a greater decrease in the burden of VPBs (incidence rate ratio 0.105; 95% confidence intervals [0.104–0.105];
P
<0.001) compared with AADs. In a liner GEE model, the left ventricular eject fraction had a tendency to increase after the treatment in both groups (coefficient, 0.584; 95% confidence intervals [0.467–0.702];
P
<0.001). In a Cox proportional model, the QS morphology in lead I was the only predictor of VPB recurrence free for catheter ablation (hazards ratio, 0.154; 95% confidence intervals [0.044–0.543];
P
=0.004).
Conclusions—
Catheter ablation is more efficacious than AADs for preventing VPB recurrence in patients with frequent VPBs originating from the RVOT. QS morphology in lead I was associated with better outcome after ablation.
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Affiliation(s)
- Zhiyu Ling
- From the Department of Cardiology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing Cardiac Arrhythmias Therapeutic Service Center, China (Z. Ling, Z. Liu, L.S., J.W., H.D., S.C., X.L., J.F., Y.X., W.C., Y.Y.); Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (V.Z.); Department of Medicine and Therapeutics, the Chinese University of Hongkong (K.W.); Department of Cardiology, the Fifth People’s Hospital of Chongqing, China (B. Zhong
| | - Zengzhang Liu
- From the Department of Cardiology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing Cardiac Arrhythmias Therapeutic Service Center, China (Z. Ling, Z. Liu, L.S., J.W., H.D., S.C., X.L., J.F., Y.X., W.C., Y.Y.); Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (V.Z.); Department of Medicine and Therapeutics, the Chinese University of Hongkong (K.W.); Department of Cardiology, the Fifth People’s Hospital of Chongqing, China (B. Zhong
| | - Li Su
- From the Department of Cardiology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing Cardiac Arrhythmias Therapeutic Service Center, China (Z. Ling, Z. Liu, L.S., J.W., H.D., S.C., X.L., J.F., Y.X., W.C., Y.Y.); Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (V.Z.); Department of Medicine and Therapeutics, the Chinese University of Hongkong (K.W.); Department of Cardiology, the Fifth People’s Hospital of Chongqing, China (B. Zhong
| | - Vadim Zipunnikov
- From the Department of Cardiology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing Cardiac Arrhythmias Therapeutic Service Center, China (Z. Ling, Z. Liu, L.S., J.W., H.D., S.C., X.L., J.F., Y.X., W.C., Y.Y.); Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (V.Z.); Department of Medicine and Therapeutics, the Chinese University of Hongkong (K.W.); Department of Cardiology, the Fifth People’s Hospital of Chongqing, China (B. Zhong
| | - Jinjin Wu
- From the Department of Cardiology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing Cardiac Arrhythmias Therapeutic Service Center, China (Z. Ling, Z. Liu, L.S., J.W., H.D., S.C., X.L., J.F., Y.X., W.C., Y.Y.); Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (V.Z.); Department of Medicine and Therapeutics, the Chinese University of Hongkong (K.W.); Department of Cardiology, the Fifth People’s Hospital of Chongqing, China (B. Zhong
| | - Huaan Du
- From the Department of Cardiology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing Cardiac Arrhythmias Therapeutic Service Center, China (Z. Ling, Z. Liu, L.S., J.W., H.D., S.C., X.L., J.F., Y.X., W.C., Y.Y.); Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (V.Z.); Department of Medicine and Therapeutics, the Chinese University of Hongkong (K.W.); Department of Cardiology, the Fifth People’s Hospital of Chongqing, China (B. Zhong
| | - Kamsang Woo
- From the Department of Cardiology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing Cardiac Arrhythmias Therapeutic Service Center, China (Z. Ling, Z. Liu, L.S., J.W., H.D., S.C., X.L., J.F., Y.X., W.C., Y.Y.); Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (V.Z.); Department of Medicine and Therapeutics, the Chinese University of Hongkong (K.W.); Department of Cardiology, the Fifth People’s Hospital of Chongqing, China (B. Zhong
| | - Shaojie Chen
- From the Department of Cardiology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing Cardiac Arrhythmias Therapeutic Service Center, China (Z. Ling, Z. Liu, L.S., J.W., H.D., S.C., X.L., J.F., Y.X., W.C., Y.Y.); Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (V.Z.); Department of Medicine and Therapeutics, the Chinese University of Hongkong (K.W.); Department of Cardiology, the Fifth People’s Hospital of Chongqing, China (B. Zhong
| | - Bin Zhong
- From the Department of Cardiology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing Cardiac Arrhythmias Therapeutic Service Center, China (Z. Ling, Z. Liu, L.S., J.W., H.D., S.C., X.L., J.F., Y.X., W.C., Y.Y.); Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (V.Z.); Department of Medicine and Therapeutics, the Chinese University of Hongkong (K.W.); Department of Cardiology, the Fifth People’s Hospital of Chongqing, China (B. Zhong
| | - Xianbin Lan
- From the Department of Cardiology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing Cardiac Arrhythmias Therapeutic Service Center, China (Z. Ling, Z. Liu, L.S., J.W., H.D., S.C., X.L., J.F., Y.X., W.C., Y.Y.); Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (V.Z.); Department of Medicine and Therapeutics, the Chinese University of Hongkong (K.W.); Department of Cardiology, the Fifth People’s Hospital of Chongqing, China (B. Zhong
| | - Jinqi Fan
- From the Department of Cardiology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing Cardiac Arrhythmias Therapeutic Service Center, China (Z. Ling, Z. Liu, L.S., J.W., H.D., S.C., X.L., J.F., Y.X., W.C., Y.Y.); Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (V.Z.); Department of Medicine and Therapeutics, the Chinese University of Hongkong (K.W.); Department of Cardiology, the Fifth People’s Hospital of Chongqing, China (B. Zhong
| | - Yanping Xu
- From the Department of Cardiology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing Cardiac Arrhythmias Therapeutic Service Center, China (Z. Ling, Z. Liu, L.S., J.W., H.D., S.C., X.L., J.F., Y.X., W.C., Y.Y.); Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (V.Z.); Department of Medicine and Therapeutics, the Chinese University of Hongkong (K.W.); Department of Cardiology, the Fifth People’s Hospital of Chongqing, China (B. Zhong
| | - Weijie Chen
- From the Department of Cardiology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing Cardiac Arrhythmias Therapeutic Service Center, China (Z. Ling, Z. Liu, L.S., J.W., H.D., S.C., X.L., J.F., Y.X., W.C., Y.Y.); Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (V.Z.); Department of Medicine and Therapeutics, the Chinese University of Hongkong (K.W.); Department of Cardiology, the Fifth People’s Hospital of Chongqing, China (B. Zhong
| | - Yuehui Yin
- From the Department of Cardiology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing Cardiac Arrhythmias Therapeutic Service Center, China (Z. Ling, Z. Liu, L.S., J.W., H.D., S.C., X.L., J.F., Y.X., W.C., Y.Y.); Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (V.Z.); Department of Medicine and Therapeutics, the Chinese University of Hongkong (K.W.); Department of Cardiology, the Fifth People’s Hospital of Chongqing, China (B. Zhong
| | - Saman Nazarian
- From the Department of Cardiology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing Cardiac Arrhythmias Therapeutic Service Center, China (Z. Ling, Z. Liu, L.S., J.W., H.D., S.C., X.L., J.F., Y.X., W.C., Y.Y.); Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (V.Z.); Department of Medicine and Therapeutics, the Chinese University of Hongkong (K.W.); Department of Cardiology, the Fifth People’s Hospital of Chongqing, China (B. Zhong
| | - Bernhard Zrenner
- From the Department of Cardiology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing Cardiac Arrhythmias Therapeutic Service Center, China (Z. Ling, Z. Liu, L.S., J.W., H.D., S.C., X.L., J.F., Y.X., W.C., Y.Y.); Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (V.Z.); Department of Medicine and Therapeutics, the Chinese University of Hongkong (K.W.); Department of Cardiology, the Fifth People’s Hospital of Chongqing, China (B. Zhong
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