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  1. Article ; Online: Use of Run-in Periods in Randomized Trials.

    Huo, Xiqian / Armitage, Jane

    JAMA

    2020  Volume 324, Issue 2, Page(s) 188–189

    MeSH term(s) Age Factors ; Humans ; Informed Consent ; Patient Compliance ; Patient Dropouts ; Patient Selection ; Random Allocation ; Randomized Controlled Trials as Topic ; Research Design ; Time Factors
    Language English
    Publishing date 2020-07-28
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 2958-0
    ISSN 1538-3598 ; 0254-9077 ; 0002-9955 ; 0098-7484
    ISSN (online) 1538-3598
    ISSN 0254-9077 ; 0002-9955 ; 0098-7484
    DOI 10.1001/jama.2020.6463
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Long-Term Cumulative High-Sensitivity C-Reactive Protein and Mortality Among Patients With Acute Heart Failure.

    Zhang, Lihua / He, Guangda / Huo, Xiqian / Tian, Aoxi / Ji, Runqing / Pu, Boxuan / Peng, Yue

    Journal of the American Heart Association

    2023  Volume 12, Issue 19, Page(s) e029386

    Abstract: Background Elevated hsCRP (high-sensitivity C-reactive protein) level is associated with worse prognosis among patients hospitalized for heart failure. However, the prognostic value of the long-term cumulative hsCRP remains unknown. Methods and Results ... ...

    Abstract Background Elevated hsCRP (high-sensitivity C-reactive protein) level is associated with worse prognosis among patients hospitalized for heart failure. However, the prognostic value of the long-term cumulative hsCRP remains unknown. Methods and Results We consecutively enrolled patients hospitalized for heart failure and collected their hsCRP data at admission and 1 and 12 months after discharge. Long-term cumulative hsCRP was evaluated using 2 approaches, cumulative hsCRP level quartiles and cumulative times of high hsCRP levels. Patients were classified into 4 groups by cumulative hsCRP level quartiles and cumulative times of high hsCRP levels (0- to 3-times: number of times that hsCRP levels were higher than cutoff values at admission or 1 or 12 months), respectively. Multivariable Cox models were used to assess the association of mortality with cumulative hsCRP. A total of 1281 patients were included; the median age was 64 (interquartile range, 54-73) years, and 35.4% were women. Over a 4.8-year (interquartile range, 4.2-5.1) follow-up, 374 (29.2%) patients died. Elevated long-term cumulative hsCRP level was related to higher mortality. Specifically, taking the quartile 1 as the reference, the hazard ratios (HRs) were 1.29 (95% CI, 0.92-1.81) for quartile 2, 1.62 (95% CI, 1.16-2.25) for quartile 3, and 2.38 (95% CI, 1.75-3.23) for quartile 4. Similarly, compared with the patients with 0-times (hsCRP level lower than the cutoff values in all 3 time points) of high hsCRP level, the HRs were 1.36 for 1-time (hsCRP level higher than the cutoff value in one of the 3 time points) (95% CI, 0.92-2.01), 1.95 for 2-times (hsCRP levels higher than the cutoff values in 2 of the 3 time points) (95% CI, 1.34-2.82), and 2.80 for 3-times (hsCRP levels higher than the cutoff values in the 3 time points) (95% CI, 1.97-4.00). Conclusions Increasing long-term cumulative hsCRP level was associated with worse outcomes in patients hospitalized for acute heart failure. Repeated hsCRP measurements could assist physicians in identifying patients with a high risk of death. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT02878811.
    MeSH term(s) Female ; Humans ; Male ; Middle Aged ; Biomarkers ; C-Reactive Protein/metabolism ; Heart Failure/diagnosis ; Prognosis ; Risk Factors ; Aged
    Chemical Substances Biomarkers ; C-Reactive Protein (9007-41-4)
    Language English
    Publishing date 2023-09-30
    Publishing country England
    Document type Clinical Study ; Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2653953-6
    ISSN 2047-9980 ; 2047-9980
    ISSN (online) 2047-9980
    ISSN 2047-9980
    DOI 10.1161/JAHA.123.029386
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  3. Article ; Online: Association of cumulative health status with subsequent mortality in patients with acute heart failure.

    Peng, Yue / He, Guangda / Wang, Wei / Lei, Lubi / Li, Jingkuo / Pu, Boxuan / Huo, Xiqian / Yu, Yanwu / Zhang, Lihua / Li, Jing

    European heart journal. Quality of care & clinical outcomes

    2024  

    Abstract: Objective: We aim to examine the association between long-term cumulative health status and subsequent mortality among patients with acute heart failure (HF).: Methods: Based on a national prospective cohort study of patients hospitalized for HF, we ... ...

    Abstract Objective: We aim to examine the association between long-term cumulative health status and subsequent mortality among patients with acute heart failure (HF).
    Methods: Based on a national prospective cohort study of patients hospitalized for HF, we measured health status by Kansas City Cardiomyopathy Questionnaire (KCCQ)-12 at 4 time points, i.e. admission, 1-,6- and 12-month after discharge. Cumulative health status was interpreted by cumulative KCCQ-12 score and cumulative times of good health status. Outcomes included subsequent all-cause and cardiovascular mortality. Multivariable Cox proportional hazard models were performed to examine the association between cumulative health status and subsequent mortality.
    Results: Totally, 2328 patients (36.7% women and median age 66 [IQR: 56-75] years) were included, the median follow-up was 4.34 (IQR: 3.93-4.96) years. Compared with Quartile 4, the lowest Quartile 1 had the highest HR for all-cause mortality (2.96; 95% CI: 2.26-3.87), followed by Quartile 2 (1.79; 95% CI: 1.37-2.34) and Quartile 3 (1.62; 95% CI: 1.23-2.12). Patients with 0-time of good health status had the highest risk of all-cause mortality (HR: 2.41, 95% CI: 1.69-3.46) compared with patients with 4-times of good health status. Similar associations persisted for cardiovascular mortality.
    Conclusions: A greater burden of cumulative health status indicated worse survival among patients hospitalized for HF. Repeated KCCQ measurements could be helpful to monitor long-term health status and identify patients vulnerable to death. Clinical Trial Registration: www.clinicaltrials.gov (NCT02878811).
    Language English
    Publishing date 2024-03-06
    Publishing country England
    Document type Journal Article
    ZDB-ID 2823451-0
    ISSN 2058-1742 ; 2058-5225
    ISSN (online) 2058-1742
    ISSN 2058-5225
    DOI 10.1093/ehjqcco/qcae017
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  4. Article ; Online: New York Heart Association Class and Kansas City Cardiomyopathy Questionnaire in Acute Heart Failure.

    Huo, Xiqian / Pu, Boxuan / Wang, Wei / Peng, Yue / Li, Jingkuo / Lei, Lubi / Zhang, Lihua / Li, Jing

    JAMA network open

    2023  Volume 6, Issue 10, Page(s) e2339458

    Abstract: Importance: Sparse data exist regarding how clinician-assigned New York Heart Association (NYHA) class compares with heart failure (HF)-specific Kansas City Cardiomyopathy Questionnaire (KCCQ) in acute HF.: Objective: To compare concordance between ... ...

    Abstract Importance: Sparse data exist regarding how clinician-assigned New York Heart Association (NYHA) class compares with heart failure (HF)-specific Kansas City Cardiomyopathy Questionnaire (KCCQ) in acute HF.
    Objective: To compare concordance between NYHA class and KCCQ overall summary score (KCCQ-OS) in acute HF and investigate associations of changes in NYHA class and KCCQ-OS with long-term outcomes.
    Design, setting, and participants: In this cohort study, patients with HF were enrolled from 52 hospitals in China between August 2016 and May 2018. Among patients with NYHA class and KCCQ-OS at admission and 1 month, levels of each scale were categorized into 4 groups from worst to best. Mild and moderate to severe discordance were defined as NYHA class and KCCQ-OS differing by 1 level or 2 or more levels, respectively. Multivariable models evaluated associations between improvements in the 2 measures and outcomes. Analysis was conducted from January to March 2023.
    Exposure: Changes in NYHA class and KCCQ-OS from admission to 1 month.
    Main outcomes and measures: All-cause mortality, cardiovascular death, or first HF rehospitalization.
    Results: A total of 2683 patients (1709 [63.7%] male; median [IQR] age, 66 [56-75] years) were included. NYHA class II, III, and IV were presented in 374 patients (13.9%), 1179 patients (44.0%), and 1130 patients (42.1%), respectively, and the median (IQR) KCCQ-OS was 44.4 (28.3-61.9). Concordance, mild discordance, and moderate to severe discordance between admission NYHA class and KCCQ-OS occurred in 954 patients (35.6%), 1203 patients (44.8%), and 526 patients (19.6%), respectively. For KCCQ-OS, kernel density overlaps were 73.6% between NYHA II and III, 63.8% between NYHA II and IV, and 88.3% between NYHA III and IV. Most patients experienced improvements in NYHA and KCCQ-OS from admission to 1 month. After adjustment, there was no significant association between improvements in NYHA class and 4-year all-cause mortality, whereas 5 or more point improvements in KCCQ-OS were independently associated with a lower risk of 4-year mortality (hazard ratio, 0.84; 95% CI, 0.74-0.96; P = .01). NYHA class and KCCQ-OS improvements were both associated with decreased risk of 1-year composite cardiovascular death or HF rehospitalization.
    Conclusions and relevance: In this cohort study of acute HF, discordance between NYHA class and KCCQ was common, and KCCQ was more relevant to subsequent mortality than NYHA class.
    MeSH term(s) Humans ; Male ; Aged ; Female ; Quality of Life ; Kansas/epidemiology ; Cohort Studies ; New York ; Heart Failure ; Cardiomyopathies ; Surveys and Questionnaires
    Language English
    Publishing date 2023-10-02
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 2574-3805
    ISSN (online) 2574-3805
    DOI 10.1001/jamanetworkopen.2023.39458
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  5. Article ; Online: Long-term cumulative high-sensitivity cardiac troponin T and mortality among patients with acute heart failure.

    Zhang, Lihua / He, Guangda / Huo, Xiqian / Ji, Runqing / Tian, Aoxi / Pu, Boxuan / Lei, Lubi / Li, Jingkuo / Peng, Yue

    ESC heart failure

    2023  Volume 10, Issue 3, Page(s) 1781–1792

    Abstract: Aims: This study aimed to evaluate the cumulative high-sensitivity cardiac troponin T (hs-cTNT) from admission to 12 months after discharge and its association with mortality after 12 months among patients with acute heart failure (HF).: Methods: We ... ...

    Abstract Aims: This study aimed to evaluate the cumulative high-sensitivity cardiac troponin T (hs-cTNT) from admission to 12 months after discharge and its association with mortality after 12 months among patients with acute heart failure (HF).
    Methods: We used data from the China Patient-Centered Evaluative Assessment of Cardiac Events Prospective Heart Failure Study (China PEACE 5p-HF Study), which enrolled patients hospitalized primarily for HF from 52 hospitals between 2016 and 2018. We included patients who survived within 12 months and had hs-cTNT data at admission (within 48 h of admission) and 1 and 12 months after discharge. To evaluate the long-term cumulative hs-cTNT, we calculated cumulative hs-cTNT levels and cumulative times of high hs-cTNT level. Patients were divided into groups according to the quartiles of cumulative hs-cTNT levels (Quartiles 1-4) and cumulative times of high hs-cTNT levels (0-3 times). Multivariable Cox models were constructed to examine the association of cumulative hs-cTNT with mortality during the follow-up period.
    Results: We included 1137 patients with a median age of 64 [interquartile range (IQR), 54-73] years; 406 (35.7%) were female. The median cumulative hs-cTNT level was 150 (IQR, 91-241) ng/L*month. Based on the cumulative times of high hs-cTNT levels, 404 (35.5%) patients were with zero time, 203 (17.9%) with one time, 174 (15.3%) with two times, and 356 (31.3%) with three times. During a median follow-up of 4.76 (IQR, 4.25-5.07) years, 303 (26.6%) all-cause deaths occurred. The increasing cumulative hs-cTNT level and cumulative times of high hs-cTNT level were independently associated with excess all-cause mortality. Compared with Quartile 1 group, Quartile 4 had the highest hazard ratio (HR) of all-cause mortality [4.14; 95% confidence interval (CI): 2.51-6.85], followed by Quartile 3 (HR: 3.35; 95% CI: 2.05-5.48) and Quartile 2 (HR: 2.47; 95% CI: 1.49-4.08) groups. Similarly, taking the patients with zero time of high hs-cTNT level as the reference, the HRs were 1.60 (95% CI: 1.05-2.45), 2.61 (95% CI: 1.76-3.87), and 2.86 (95% CI: 1.98-4.14) in patients who had one, two, and three times of high hs-cTNT level, respectively.
    Conclusions: Elevated cumulative hs-cTNT from admission to 12 months after discharge was independently associated with mortality after 12 months among patients with acute HF. Repeated measurements of hs-cTNT after discharge may help monitor the cardiac damage and identify patients with high risk of death.
    MeSH term(s) Humans ; Female ; Male ; Prognosis ; Troponin T ; Prospective Studies ; Heart Failure ; China/epidemiology
    Chemical Substances Troponin T
    Language English
    Publishing date 2023-03-03
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2814355-3
    ISSN 2055-5822 ; 2055-5822
    ISSN (online) 2055-5822
    ISSN 2055-5822
    DOI 10.1002/ehf2.14328
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  6. Article ; Online: Comment on Kim et al. The Effect of a Smartphone-Based, Patient-Centered Diabetes Care System in Patients With Type 2 Diabetes: A Randomized, Controlled Trial for 24 Weeks. Diabetes Care 2019;42:3-9.

    Huo, Xiqian / Holman, Rury R / Armitage, Jane

    Diabetes care

    2019  Volume 42, Issue 7, Page(s) e125

    MeSH term(s) Diabetes Mellitus, Type 2 ; Drug Delivery Systems ; Humans ; Patient-Centered Care ; Smartphone ; Vitamin D
    Chemical Substances Vitamin D (1406-16-2)
    Language English
    Publishing date 2019-06-20
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 441231-x
    ISSN 1935-5548 ; 0149-5992
    ISSN (online) 1935-5548
    ISSN 0149-5992
    DOI 10.2337/dc19-0535
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  7. Article ; Online: Design and rationale of the Comprehensive intelligent Hypertension managEment SyStem (CHESS) evaluation study: a cluster randomized controlled trial for hypertension management in primary care.

    Zhang, Haibo / Huo, Xiqian / Ren, Lixin / Lu, Jiapeng / Li, Jing / Zheng, Xin / Liu, Jiamin / Ma, Wenjun / Yuan, Jing / Diao, Xiaolin / Wu, Chaoqun / Zhang, Xiaoyan / Wang, Jin / Zhao, Wei / Hu, Shengshou

    American heart journal

    2024  

    Abstract: Background: Hypertension management in China is suboptimal with high prevalence and low control rate due to various barriers, including lack of self-management awareness of patients and inadequate capacity of physicians. Digital therapeutic ... ...

    Abstract Background: Hypertension management in China is suboptimal with high prevalence and low control rate due to various barriers, including lack of self-management awareness of patients and inadequate capacity of physicians. Digital therapeutic interventions including mobile health and computational device algorithms such as clinical decision support systems (CDSS) are scalable with the potential to improve blood pressure (BP) management and strengthen the healthcare system in resource-constrained areas, yet their effectiveness remains to be tested. The aim of this report is to describe the protocol of the Comprehensive intelligent Hypertension managEment SyStem (CHESS) evaluation study assessing the effect of a multi-faceted hypertension management system for supporting patients and physicians on BP lowering in primary care settings.
    Materials and methods: The CHESS evaluation study is a parallel-group, cluster-randomized controlled trial conducted in primary care settings in China. 41 primary care sites from 3 counties of China are randomly assigned to either the usual care or the intervention group with the implementation of the CHESS system, more than 1600 patients aged 35-80 years with uncontrolled hypertension and access to a smartphone by themselves or relatives are recruited into the study and followed up for 12 months. In the intervention group, participants receive patient-tailored reminders and alerts via messages or intelligent voice calls triggered by uploaded home blood pressure monitoring data and participants' characteristics, while physicians receive guideline-based prescription instructions according to updated individual data from each visit, and administrators receive auto-renewed feedback of hypertension management performance from the data analysis platform. The multiple components of the CHESS system can work synergistically and have undergone rigorous development and pilot evaluation using a theory-informed approach. The primary outcome is the mean change in 24-hour ambulatory systolic BP from baseline to 12-month.
    Discussion: The CHESS trial will provide evidence and novel insight into the effectiveness and feasibility of an implementation strategy using a comprehensive digital BP management system for reducing hypertension burden in primary care settings.
    Trial registration: https://www.
    Clinicaltrials: gov, NCT05605418.
    Language English
    Publishing date 2024-04-02
    Publishing country United States
    Document type Journal Article
    ZDB-ID 80026-0
    ISSN 1097-6744 ; 0002-8703
    ISSN (online) 1097-6744
    ISSN 0002-8703
    DOI 10.1016/j.ahj.2024.03.018
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  8. Article ; Online: Predicting the risk of 1-year mortality among patients hospitalized for acute heart failure in China.

    Zhang, Lihua / Wang, Wei / Huo, Xiqian / He, Guangda / Liu, Yanchen / Li, Yan / Lei, Lubi / Li, Jingkuo / Pu, Boxuan / Peng, Yue / Li, Jing

    American heart journal

    2024  Volume 272, Page(s) 69–85

    Abstract: Background: We aimed to develop and validate a model to predict 1-year mortality risk among patients hospitalized for acute heart failure (AHF), build a risk score and interpret its application in clinical decision making.: Methods: By using data ... ...

    Abstract Background: We aimed to develop and validate a model to predict 1-year mortality risk among patients hospitalized for acute heart failure (AHF), build a risk score and interpret its application in clinical decision making.
    Methods: By using data from China Patient-Centred Evaluative Assessment of Cardiac Events Prospective Heart Failure Study, which prospectively enrolled patients hospitalized for AHF in 52 hospitals across 20 provinces, we used multivariate Cox proportional hazard model to develop and validate a model to predict 1-year mortality.
    Results: There were 4,875 patients included in the study, 857 (17.58%) of them died within 1-year following discharge of index hospitalization. A total of 13 predictors were selected to establish the prediction model, including age, medical history of chronic obstructive pulmonary disease and hypertension, systolic blood pressure, Kansas City Cardiomyopathy Questionnaire-12 score, angiotensin converting enzyme inhibitor or angiotensin receptor blocker at discharge, discharge symptom, N-terminal pro-brain natriuretic peptide, high-sensitivity troponin T, serum creatine, albumin, blood urea nitrogen, and highly sensitive C-reactive protein. The model showed a high performance on discrimination (C-index was 0.759 [95% confidence interval: 0.739, 0.778] in development cohort and 0.761 [95% confidence interval: 0.731, 0.791] in validation cohort), accuracy, calibration, and outperformed than several existed risk scores. A point-based risk score was built to stratify low- (0-12), intermediate- (13-16), and high-risk group (≥17) among patients.
    Conclusions: A prediction model using readily available predictors was developed and internal validated to predict 1-year mortality risk among patients hospitalized for AHF. It may serve as a useful tool for individual risk stratification and informing decision making to improve clinical care.
    MeSH term(s) Humans ; Heart Failure/mortality ; Male ; Female ; China/epidemiology ; Aged ; Risk Assessment/methods ; Acute Disease ; Hospitalization/statistics & numerical data ; Prospective Studies ; Middle Aged ; Prognosis ; Risk Factors ; Proportional Hazards Models ; Natriuretic Peptide, Brain/blood ; Troponin T/blood ; C-Reactive Protein/analysis ; Peptide Fragments/blood
    Chemical Substances Natriuretic Peptide, Brain (114471-18-0) ; pro-brain natriuretic peptide (1-76) ; Troponin T ; C-Reactive Protein (9007-41-4) ; Peptide Fragments
    Language English
    Publishing date 2024-03-13
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Multicenter Study
    ZDB-ID 80026-0
    ISSN 1097-6744 ; 0002-8703
    ISSN (online) 1097-6744
    ISSN 0002-8703
    DOI 10.1016/j.ahj.2024.03.005
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  9. Article: Impact of Non-cardiac Comorbidities on Long-Term Clinical Outcomes and Health Status After Acute Heart Failure in China.

    Huo, Xiqian / Zhang, Lihua / Bai, Xueke / He, Guangda / Li, Jiaying / Miao, Fengyu / Lu, Jiapeng / Liu, Jiamin / Zheng, Xin / Li, Jing

    Frontiers in cardiovascular medicine

    2022  Volume 9, Page(s) 883737

    Abstract: Background: Individual non-cardiac comorbidities are prevalent in HF; however, few studies reported how the aggregate burden of non-cardiac comorbidities affects long-term outcomes, and it is unknown whether this burden is associated with changes in ... ...

    Abstract Background: Individual non-cardiac comorbidities are prevalent in HF; however, few studies reported how the aggregate burden of non-cardiac comorbidities affects long-term outcomes, and it is unknown whether this burden is associated with changes in health status.
    Aims: To assess the association of the overall burden of non-cardiac comorbidities with clinical outcomes and quality of life (QoL) in patients hospitalized for heart failure (HF).
    Methods: We prospectively enrolled patients hospitalized for HF from 52 hospitals in China. Eight key non-cardiac comorbidities [diabetes, chronic renal disease, chronic obstructive pulmonary disease (COPD), anemia, stroke, cancer, peripheral arterial disease (PAD), and liver cirrhosis] were included, and patients were categorized into four groups: none, one, two, and three or more comorbidities. We fitted Cox proportional hazards models to assess the burden of comorbidities on 1-year death and rehospitalization.
    Results: Of the 4,866 patients, 25.3% had no non-cardiac comorbidity, 32.2% had one, 22.9% had two, and 19.6% had three or more in China. Compared with those without non-cardiac comorbidities, patients with three or more comorbidities had higher risks of 1-year all-cause death [heart rate, HR 1.89; 95% confidence interval (CI) 1.48-2.39] and all-rehospitalization (HR 1.35; 95%CI 1.15-1.58) after adjustment. Although all patients with HF experienced a longitudinal improvement in QoL in the 180 days after discharge, those with three or more non-cardiac comorbidities had an unadjusted 11.4 (95%CI -13.4 to -9.4) lower Kansas City Cardiomyopathy Questionnaire (KCCQ) scores than patients without comorbidities. This difference decreased to -6.4 (95%CI -8.6 to -4.2) after adjustment for covariates.
    Conclusion: Among patients hospitalized with HF in this study, a higher burden of non-cardiac comorbidities was significantly associated with worse health-related QoL (HRQoL), increased risks of death, and rehospitalization post-discharge. The findings highlight the need to address the management of comorbidities effectively in standardized HF care.
    Language English
    Publishing date 2022-07-13
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2781496-8
    ISSN 2297-055X
    ISSN 2297-055X
    DOI 10.3389/fcvm.2022.883737
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  10. Article: Multi-Biomarker Points and Outcomes in Patients Hospitalized for Heart Failure: Insights From the China PEACE Prospective Heart Failure Study.

    He, Guangda / Zhang, Lihua / Huo, Xiqian / Wang, Qing / Hu, Danli / Huang, Xinghe / Ge, Jinzhuo / Wu, Yongjian / Li, Jing

    Frontiers in cardiovascular medicine

    2022  Volume 9, Page(s) 835465

    Abstract: Objective: To quantitatively characterize the pattern of systemic impairment reflected by conventional biomarkers and assess how it relates to clinical outcomes and quality of life among patients hospitalized for heart failure (HF).: Methods: ... ...

    Abstract Objective: To quantitatively characterize the pattern of systemic impairment reflected by conventional biomarkers and assess how it relates to clinical outcomes and quality of life among patients hospitalized for heart failure (HF).
    Methods: Patients hospitalized for HF from 52 hospitals in China were enrolled between 2016 and 2018. They were divided into developing and validating cohorts; the developing cohort was used for calculating the weights of biomarkers and constructing the multi-biomarker panel, while the validating one was used for evaluating the relationship between multi-biomarker points and outcomes. In total, five conventional biomarkers reflecting various pathophysiological processes were included in the panel: N-terminal pro-B type natriuretic peptide, high-sensitivity troponin T, hemoglobin, albumin, and creatinine. The weights of the biomarkers were defined based on their relationship with cardiovascular death, and each patient had a multi-biomarker point ranging from 0 to 12. The primary clinical outcome was cardiovascular death, and the other clinical outcomes included rehospitalization for HF, all-cause death, and all-cause rehospitalization in 1-year. The quality of life was measured using Kansas City Cardiovascular Questionnaire. Multi-variable Cox proportional hazard models were used to assess the risks of clinical outcomes, and generalized linear models were used to evaluate the quality of life.
    Results: In total, 4,693 patients hospitalized for HF were included in this analysis; the median (interquartile range, IQR) age was 67 (57-75) years old and 1,763 (37.6%) were female. The median multi-biomarker point was 5 (IQR, 2-6). There were 18.0% of patients in the low point group (<2), 29.4% in the mid-low point group (2-4), 27.8% in the mid-high point group (5-6), and 24.7% in the high point group (>6). Compared with those in the low point group, the patients in the high point group had a significantly excess risk of cardiovascular death (adjusted hazard ratio: 5.69, 95% CI, 3.33-9.70). Furthermore, patients with higher points were also more prone to worse quality of life.
    Conclusion: Systemic impairment reflected by abnormal conventional biomarker values was common amongst patients hospitalized for HF and had substantially cumulative adverse influence on clinical outcomes and quality of life.
    Language English
    Publishing date 2022-04-07
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2781496-8
    ISSN 2297-055X
    ISSN 2297-055X
    DOI 10.3389/fcvm.2022.835465
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