经导管主动脉瓣置换术后死亡风险预测模型系统评价

目的 系统评价经导管主动脉瓣置换术后死亡风险预测模型.方法 在Cochrane Library、EMBASE、PubMed、Web of Science、中国生物医学文献数据库、中国知网、维普和万方数据库中检索经导管主动脉瓣置换术后死亡风险预测模型,检索时限为2000年1月1日—2021年2月1日.由两名研究者独立筛选...     

A pooled analysis of the risk prediction models for mortality in acute exacerbation of chronic obstructive pulmonary disease

Objective

The prognosis for acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is not optimistic, and severe AECOPD leads to an increased risk of mortality. Prediction models help distinguish between high- and low-risk groups. At present, many prediction models have been established and validated, which need to be systematically reviewed to screen out more suitable models that can be used in the clinic and provide evidence for future research.

Methods

We searched PubMed, EMBASE, Cochrane Library and Web of Science databases for studies on risk models for AECOPD mortality from their inception to 10 April 2022. The risk of bias was assessed using the prediction model risk of bias assessment tool (PROBAST). Stata software (version 16) was used to synthesize the C-statistics for each model.

Results

A total of 37 studies were included. The development of risk prediction models for mortality in patients with AECOPD was described in 26 articles, in which the most common predictors were age (n = 17), dyspnea grade (n = 11), altered mental status (n = 8), pneumonia (n = 6) and blood urea nitrogen (BUN, n = 6). The remaining 11 articles only externally validated existing models. All 37 studies were evaluated at a high risk of bias using PROBAST. We performed a meta-analysis of five models included in 15 studies. DECAF (dyspnoea, eosinopenia, consolidation, acidemia and atrial fibrillation) performed well in predicting in-hospital death [C-statistic = 0.91, 95% confidence interval (CI): 0.83, 0.98] and 90-day death [C-statistic = 0.76, 95% CI: 0.69, 0.82] and CURB-65 (confusion, urea, respiratory rate, blood pressure and age) performed well in predicting 30-day death [C-statistic = 0.74, 95% CI: 0.70, 0.77].

Conclusions

This study provides information on the characteristics, performance and risk of bias of a risk model for AECOPD mortality. This pooled analysis of the present study suggests that the DECAF performs well in predicting in-hospital and 90-day deaths. Yet, external validation in different populations is still needed to prove this performance.     

Appraisal of multivariable prognostic models for post-operative liver decompensation following partial hepatectomy: a systematic review

BackgroundFew reports have evaluated prognostic modelling studies of tools used for surgical decision-making. This systematic review aimed to describe and critically appraise studies that have developed or validated multivariable prognostic models for post-operative liver decompensation following partial hepatectomy.MethodsThis study was designed using the CHARMS checklist. Following a comprehensive literature search, two reviewers independently screened candidate references for inclusion and abstracted relevant study details. Qualitative assessment was performed using the PROBAST tool.ResultsWe identified 36 prognostic modelling studies; 25 focused on development only, 3 developed and validated models, and 8 validated pre-existing models. None compared routine use of a prognostic model against standard clinical practice. Most studies used single-institution, retrospective cohort designs, conducted in Eastern populations. In total, 15 different outcome definitions for post-operative liver decompensation events were used. Statistical concerns surrounding model overfitting, performance assessment, and internal validation led to high risk of bias for all studies.ConclusionsCurrent prognostic models for post-operative liver decompensation following partial hepatectomy may not be valid for routine clinical use due to design and methodologic concerns. Landmark resources and reporting guidelines such as the TRIPOD statement may assist researchers, and additionally, model impact assessment studies represent opportunities for future research.     

The prognostic factors of in-hospital death among patients with pneumonic COPD acute exacerbation

BackgroundPneumonic acute exacerbation of chronic obstructive pulmonary disease (COPD-AE) is associated with worse outcomes compared with non-pneumonic COPD-AE. We aimed to explore prognostic factors among patients with pneumonic COPD-AE.MethodsThis multicentered retrospective cohort study was conducted across five hospitals in Japan. Hospitalized patients ≥40 years of age with pneumonic COPD-AE who were administered systemic corticosteroids during hospitalization were included. Patients with other causes of respiratory failure, daily systemic steroid users, and patients who were not treated with systemic steroids were excluded. Based on existing clinical prediction models, the following potential prognostic factors were selected in advance: age, blood eosinophil count, blood urea nitrogen, respiratory rate, diastolic blood pressure, and altered mental status. Multivariate logistic regression was conducted to determine the association between potential prognostic factors and in-hospital death.ResultsAfter excluding 897 patients based on the exclusion criteria, 669 patients with pneumonic COPD-AE who were administered systemic corticosteroids were included. The in-hospital mortality rate was 5.1%. Altered mental status was associated with mortality (odds ratio, 4.47; 95% confidence intervals, 2.00 to 10.00), and eosinophilia was associated with a lower risk of mortality (odds ratio, 0.19; 95% confidence intervals: 0.06 to 0.56).ConclusionsAltered mental status may be a prognostic factor for in-hospital death among patients with pneumonic COPD-AE who were administered systemic corticosteroids. Moreover, eosinophilia may be a prognostic factor for lower in-hospital mortality rate among these patients.     

A mini systematic review of prognostic factors in elderly patients with tuberculosis

BackgroundWhile advanced age has been suggested as a prognostic factor in patients with tuberculosis, the characteristics associated with a poor outcome in elderly patients have remained unclear. The aim of this systematic review was to describe the risk factors for a poor outcome in elderly patients with tuberculosis.MethodsWe identified 1255 studies published between 1919 and 2017 from the PubMed database by using combinations of the keywords “tuberculosis [Title/Abstract]” and “elderly [Title/Abstract]”. Full texts of the studies that met the inclusion criteria were further evaluated by two independent investigators.Resultseven retrospective cohort studies were included in this systematic review. More advanced age, comorbidities, and nutritional status were likely to be prognostic factors in Taiwan (aging country) and Japan (super-aged country), while human immunodeficiency virus infection and severe tuberculosis were associated with a poor outcome in low-income countries. Two studies from Taiwan investigated the prognostic factors of tuberculosis-specific death and non-tuberculosis-specific death separately, but no significant differences were found in the factors between the two types of death.ConclusionsThe prognostic factors of tuberculosis in elderly patients varied according to the income levels of the countries. The factors in Taiwan and Japan were mainly associated with host factors, irrespective of the cause of death, which may reflect senile deterioration due to old age.     

Prognostic models to predict survival in patients with pancreatic cancer: a systematic review

BackgroundPancreatic ductal adenocarcinoma (PDAC) has poor survival. Current treatments offer little likelihood of cure or long-term survival. This systematic review evaluates prognostic models predicting overall survival in patients diagnosed with PDAC.MethodsWe conducted a comprehensive search of eight electronic databases from their date of inception through to December 2019. Studies that published models predicting survival in patients with PDAC were identified.Results3297 studies were identified; 187 full-text articles were retrieved and 54 studies of 49 unique prognostic models were included. Of these, 28 (57.1%) were conducted in patients with advanced disease, 17 (34.7%) with resectable disease, and four (8.2%) in all patients. 34 (69.4%) models were validated, and 35 (71.4%) reported model discrimination, with only five models reporting values >0.70 in both derivation and validation cohorts. Many (n = 27) had a moderate to high risk of bias and most (n = 33) were developed using retrospective data. No variables were unanimously found to be predictive of survival when included in more than one study.ConclusionMost prognostic models were developed using retrospective data and performed poorly. Future research should validate instruments performing well locally in international cohorts and investigate other potential predictors of survival.     

Prediction models for heart failure in the community: A systematic review and meta-analysis

Aims

Multivariable prediction models can be used to estimate risk of incident heart failure (HF) in the general population. A systematic review and meta-analysis was performed to determine the performance of models.

Methods and results

From inception to 3 November 2022 MEDLINE and EMBASE databases were searched for studies of multivariable models derived, validated and/or augmented for HF prediction in community-based cohorts. Discrimination measures for models with c-statistic data from ≥3 cohorts were pooled by Bayesian meta-analysis, with heterogeneity assessed through a 95% prediction interval (PI). Risk of bias was assessed using PROBAST. We included 36 studies with 59 prediction models. In meta-analysis, the Atherosclerosis Risk in Communities (ARIC) risk score (summary c-statistic 0.802, 95% confidence interval [CI] 0.707–0.883), GRaph-based Attention Model (GRAM; 0.791, 95% CI 0.677–0.885), Pooled Cohort equations to Prevent Heart Failure (PCP-HF) white men model (0.820, 95% CI 0.792–0.843), PCP-HF white women model (0.852, 95% CI 0.804–0.895), and REverse Time AttentIoN model (RETAIN; 0.839, 95% CI 0.748–0.916) had a statistically significant 95% PI and excellent discrimination performance. The ARIC risk score and PCP-HF models had significant summary discrimination among cohorts with a uniform prediction window. 77% of model results were at high risk of bias, certainty of evidence was low, and no model had a clinical impact study.

Conclusions

Prediction models for estimating risk of incident HF in the community demonstrate excellent discrimination performance. Their usefulness remains uncertain due to high risk of bias, low certainty of evidence, and absence of clinical effectiveness research.     

Cardiac-MRI Predicts Clinical Worsening and Mortality in Pulmonary Arterial Hypertension: A Systematic Review and Meta-Analysis

ObjectivesThis meta-analysis evaluates assessment of pulmonary arterial hypertension (PAH), with a focus on clinical worsening and mortality.BackgroundCardiac magnetic resonance (CMR) has prognostic value in the assessment of patients with PAH. However, there are limited data on the prediction of clinical worsening, an important composite endpoint used in PAH therapy trials.MethodsThe Cochrane Central Register of Controlled Trials, MEDLINE, EMBASE, and Web of Science databases were searched in May 2020. All CMR studies assessing clinical worsening and the prognosis of patients with PAH were included. Pooled hazard ratios of univariate regression analyses for CMR measurements, for prediction of clinical worsening and mortality, were calculated.ResultsTwenty-two studies with 1,938 participants were included in the meta-analysis. There were 18 clinical worsening events and 8 deaths per 100 patient-years. The pooled hazard ratios show that every 1% decrease in right ventricular (RV) ejection fraction is associated with a 4.9% increase in the risk of clinical worsening over 22 months of follow-up and a 2.1% increase in the risk of death over 54 months. For every 1 ml/m² increase in RV end-systolic volume index or RV end-diastolic volume index, the risk of clinical worsening increases by 1.3% and 1%, respectively, and the risk of mortality increases by 0.9% and 0.6%. Every 1 ml/m² decrease in left ventricular stroke volume index or left ventricular end-diastolic volume index increased the risk of death by 2.5% and 1.8%. Left ventricular parameters were not associated with clinical worsening.ConclusionsThis review confirms CMR as a powerful prognostic marker in PAH in a large cohort of patients. In addition to confirming previous observations that RV function and RV and left ventricular volumes predict mortality, RV function and volumes also predict clinical worsening. This study provides a strong rationale for considering CMR as a clinically relevant endpoint for trials of PAH therapies.     

A revised scope in different prognostic models in cirrhotic patients: Current and future perspectives,an Egyptian experience

Background and study aimThe prognosis of cirrhosis is of great interest for liver transplantation and new therapies of related complications. Traditional prognostic models such as Child–Pugh (CP) and Model for End-stage Liver Disease (MELD) were developed to predict mortality in decompensated cirrhosis, but lack parameter(s) related to complications. Recently, new models such as creatinine-modified Child–Turcotte–Pugh (CrCTP) and sodium-based MELD variants were developed to improve prognostic accuracy and enhance outcome predictive capability. Our aim was to investigate the prognostic ability of these models and their relation to complications among Egyptian cirrhotic patients to determine the best one and to assess adding new variables to improve the prognostic ability of that model.Patients and methodsA total of 1000 cirrhotic patients were enrolled in a retrospective study; traditional and new prognostic models such as CP, MELD, CrCTP, integrated MELD (iMELD), MELD plus sodium (MELD-Na, MELDNa) and MELD:sodium ratio (MESO) were calculated. The predictive abilities of prognostic models were compared using the area under receiver operating characteristic curve (AUC) and 1-year survival rates were evaluated by Kaplan–Meier survival analysis. An index of cirrhosis-related complications was added to reveal the best prognostic model.ResultsUsing AUC, MELD and its sodium variants was significantly better than CP and CrCTP scores in predicting risk of 1-year mortality, where MELD-sodium (MELD-Na) had the highest AUC (0.743). Adding an index of cirrhosis-related complications (C) to MELD-Na creating a new scoring system (MELD-Na-C) improved its prognostic accuracy (AUC 0.753). Kaplan–Meier survival curves predicted increased mortality with higher prognostic scores.ConclusionsAll prognostic models were good predictors of 1-year mortality in patients with decompensated cirrhosis; however, MELD-Na was the best for outcome prediction. MELD-Na-C was a new model enhancing the predictive accuracy in assessing cirrhotic patients with related complications.     

Prognostic value of early warning scores in the emergency department (ED) and acute medical unit (AMU): A narrative review

BackgroundA wide array of early warning scores (EWS) have been developed and are used in different settings to detect which patients are at risk of deterioration. The aim of this review is to provide an overview of studies conducted on the value of EWS on predicting intensive care (ICU) admission and mortality in the emergency department (ED) and acute medical unit (AMU).MethodsA literature search was conducted in the bibliographic databases PubMed and EMBASE, from inception to April 2017. Two reviewers independently screened all potentially relevant titles and abstracts for eligibility.Results42 studies were included. 36 studies reported on mortality as an endpoint, 13 reported ICU admission and 9 reported the composite outcome of mortality and ICU admission. For mortality prediction National Early Warning Score (NEWS) was the most accurate score in the general ED population and in those with respiratory distress, Mortality in Emergency Department Sepsis score (MEDS) had the best accuracy in patients with an infection or sepsis. ICU admission was best predicted with NEWS, however in patients with an infection or sepsis Modified Early Warning Score (MEWS) yielded better results for this outcome.ConclusionMEWS and NEWS generally had favourable results in the ED and AMU for all endpoints. Many studies have been performed on ED and AMU populations using heterogeneous prognostic scores. However, future studies should concentrate on a simple and easy to use prognostic score such as NEWS with the aim of introducing this throughout the (pre-hospital and hospital) acute care chain.     

Direct Bilirubin Is More Valuable than Total Bilirubin for Predicting Prognosis in Patients with Liver Cirrhosis

Background/AimsMost prognostic prediction models for patients with liver cirrhosis include serum total bilirubin (TB) level as a component. This study investigated prognostic performance of serum direct bilirubin (DB) and developed new DB level-based prediction models for cirrhosis.MethodsA total of 983 hospitalized patients with liver cirrhosis were included. DB-Model for End-Stage Liver Disease (MELD) score was calculated using MELD score formula, with serum DB level replacing TB level.ResultsMean age of study population was 56.1 years. Alcoholic liver disease was the most frequent underlying condition (471 patients, 47.9%). Within 6 months, 144 patients (14.6%) died or received liver transplantation due to severe liver dysfunction. The area under the receiver operating characteristic curve (AUROC) for prediction of 6-month mortality with DB level was significantly higher than that with TB level (p<0.001). The AUROC of DB-MELD score for prediction of 6-month mortality was significantly higher than that of MELD score (p<0.001). Patients were randomly divided into training (n=492) and validation (n=491) cohorts. A new prognostic prediction model, “Direct Bilirubin, INR, and Creatinine” (DiBIC) score, was developed based on the most significant predictors of 6-month mortality. In training set, AUROC of DiBIC score for prediction of 6-month mortality was 0.892, which was significantly higher than that of the MELD score (0.875, p=0.017), but not different from that of DB-MELD score (0.886, p=0.272). Similar results were observed in validation set.ConclusionsNew prognostic models, DB-MELD and DiBIC scores, have good prognostic performance in liver cirrhosis patients, outperforming other currently available models.     

D-Dimer for risk stratification in patients with acute pulmonary embolism

Background: Risk stratification is currently recommended for the initial management of patients with acute pulmonary embolism (PE). Methods: We performed a meta-analysis of studies in patients with acute PE to assess the prognostic value of elevated D-dimer levels for short-term (within 30 days) and 3-month mortality. The association between D-dimer levels and markers of PE severity was also reviewed. Unrestricted searches were performed using the terms D-dimer and pulmonary embolism. Studies reporting on D-dimer levels and mortality and/or markers of PE severity were included in the review. A random-effects model was used to pool study results, funnel-plot inspection to evaluate publication bias and I squared testing to test for heterogeneity. Results: Five studies (2,885 patients) reported on D-dimer levels and short-term mortality. D-dimer levels above a prognostic cut-off were significantly associated with short-term mortality in the overall population (OR: 2.76; 95% CI: 1.83–4.14; I² = 0%) and in hemodynamically stable patients (three studies, 874 patients; OR: 4.28; 95% CI: 1.88–9.71; I² = 0%). Four studies (1,254 patients) reported on D-dimer levels and 3-month mortality. D-dimer levels above a prognostic cut-off were associated with 3-month mortality (OR: 4.29; 95% IC: 1.70–10.79; I² = 0%). Overall, 14 studies assessed the association between D-dimer and markers of PE severity. An association has been observed between D-dimer levels and the degree of pulmonary artery obstruction. Conclusion: In patients with acute PE elevated D-dimer is associated with increased short-term and 3-month mortality, suggesting the potential of using this test for both diagnosis and risk stratification.     

A simplified prognostic model to predict mortality in patients with acute variceal bleeding

BackgroundAcute variceal bleeding (AVB) is a major cause of death in patients with liver cirrhosis. The aim of this study was to investigate mortality predictors and develop a new simple prognostic model using easily verified factors at admission in AVB patients.MethodsBetween January 2009 and May 2015, 333 consecutive patients with AVB were included. A simplified prognostic model was developed using multiple logistic regression after identifying significant predictors of 6-week mortality. Mortality prediction accuracy was assessed with area under the receiver operating characteristic (AUROC) curve. We compared the new model to existing models of model for end-stage liver disease (MELD) and Child–Pugh scores.ResultsThe 6-week overall mortality rate was 12.9%. Multivariate analysis showed that C-reactive protein (CRP), total bilirubin, and the international normalized ratio were independent predictors of mortality. A new logistic model using these variables was developed. This model’s AUROC was 0.834, which was significantly higher than that of MELD (0.764) or Child–Pugh scores (0.699). Two external validation studies showed that the AUROC of our model was consistently higher than 0.8.ConclusionsOur new simplified model accurately and consistently predicted 6-week mortality in patients with AVB using objective variables measured at admission. Our system can be used to identify high risk AVB patients.     

Association of Antisecretory Drugs with Upper Gastrointestinal Bleeding in Patients Using Oral Anticoagulants: A Systematic Review and Meta-Analysis

BackgroundThe role of antisecretory drugs for the prevention of upper gastrointestinal bleeding in patients using anticoagulants is unclear. We investigated this question in a systematic review and meta-analysis.MethodsWe searched Embase, PubMed, Web of Science, Scopus, the Cochrane Library, and clinicaltrials.gov thru April 2021 for controlled randomized trials and observational studies evaluating the association of proton pump inhibitors (PPIs) or H2-receptor antagonists with overt upper gastrointestinal bleeding in patients using anticoagulants. Independent duplicate review, data extraction, and risk of bias assessment were performed. Observational studies were included only if they provided results controlled for at least 2 variables. Meta-analyses were performed using random effects models.ResultsSix observational studies and 1 randomized trial were included. All but 1 study had low risk of bias. None of the studies excluded patients with concomitant aspirin or nonsteroidal anti-inflammatory drug use. For PPIs, the pooled relative risk of upper gastrointestinal bleeding was 0.67 (95% confidence interval 0.61, 0.74) with low statistical heterogeneity (I² = 15%). Individual studies showed greater treatment effect in patients with higher risk for upper gastrointestinal bleeding (eg, nonsteroidal anti-inflammatory drug or aspirin use, elevated bleeding risk score). A single observational study evaluating the association of H2-receptor antagonists with upper gastrointestinal bleeding found a relative risk of 0.69 (95% confidence interval 0.24-2.02).ConclusionsEvidence drawn mostly from observational studies with low risk of bias demonstrate that PPIs reduce upper gastrointestinal bleeding in patients prescribed oral anticoagulants. The benefit appears to be most clearcut and substantial in patients with elevated risk of upper gastrointestinal bleeding.     

Incremental value of natriuretic peptide measurement in acute decompensated heart failure (ADHF): a systematic review

The aim of this systematic review was to determine whether B-type natriuretic peptide (BNP) and N-terminal proBNP (NT-proBNP) independently add incremental value for predicting mortality and morbidity in patients with acute decompensated heart failure (ADHF). Medline^®, Embase?, AMED, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, and CINAHL were searched from 1989 to June 2012. We also searched reference lists of included articles, systematic reviews, and the gray literature. Studies were screened for eligibility criteria and assessed for risk of bias. Data were extracted on study design, population demographics, assay cutpoints, prognostic risk prediction model covariates, statistical methods, outcomes, and results. From 183 citations, only seven studies (5 BNP and 2 NT-proBNP) considered incremental value in ADHF subjects admitted to acute care centers. Admission assay levels and length of follow-up varied for BNP studies (31 days to 12 months) and for NT-proBNP studies (25–82 months). All studies presented at least one estimate of incremental value of BNP/NT-proBNP relative to the base prognostic model. Using discrimination or likelihood statistics, these studies consistently showed that BNP or NT-proBNP increased model performance. Three studies used reclassification and model validation computations to establish incremental value; these studies showed less consistency with respect to added value. In conclusion, the literature assessing incremental value of BNP/NT-proBNP in ADHF populations is limited to seven studies evaluating only mortality outcomes and at moderate risk of bias. Although there were differences in the base risk prediction models, assay cutpoints, and lengths of follow-up, there was consistency in BNP/NT-proBNP adding incremental value in prediction models in ADHF patients.     

Prevalence,determinants and prognostic value of high coronary artery calcium score in asymptomatic patients with diabetes: A systematic review and meta-analysis

BackgroundThe pharmacological management of diabetes is mostly based on its cardiovascular risk assessment. For this purpose, coronary artery calcium score (CACS) is proposed with a soft (class IIb) recommendation, as its prognostic implication requires further evidence in different subsets. Thus, we carried-out a systematic review and meta-analysis to address the prevalence of high CACS, its determinants and prognostic value in asymptomatic patients with diabetes, with a special focus on different sex and ethnic groups.MethodsWe carried out a systematic review of the published literature in several databases between 01/2000 and 01/2021. Original studies were included if they presented data on the prevalence, determinants and prognosis of high CACS in patients with diabetes without known cardiovascular disease. Using random effects models, we calculated pooled odds ratios (OR) for CACS determinants and Relative Risk (RR) for CACS prognostic value on all-cause mortality and/or fatal and non-fatal CV events in different categories.ResultsWe included 23 studies (n = 20,999 patients). Female sex and black ethnicity presented the lowest prevalence of CACS>0. Age, male sex, non-black ethnicity and diabetes duration were identified as risk factors for high CACS. Among the 10 studies (n = 110,396 person-years) with prognostic data, the pooled RR for the occurrence of all-cause death and/or cardiovascular events were 4.03 (95%CI: 3.04–5.34), 5.87 (95%CI: 4.32–7.99) and 9.04 (95%CI: 5.81–14.06) respectively for CACS>0 vs. CACS = 0, CACS≥100 vs. CACS<10 and CACS≥400 vs. CACS<10. For similar CACS, these RR were greater in women than in men.ConclusionOur meta-analysis demonstrates that the increase in CACS is strongly associated with an increased risk for all-cause mortality and/or fatal and non-fatal CV events in asymptomatic patients with diabetes.     

Cardiovascular Disease Prognostic Models in Latin America and the Caribbean: A Systematic Review

Background

Cardiovascular prognostic models guide treatment allocation and support clinical decisions. Whether there are valid models for Latin American and Caribbean (LAC) populations is unknown.

Valor Prognóstico da Ultrassonografia Pulmonar para Resultados Clínicos em Pacientes com Insuficiência Cardíaca: Uma Revisão Sistemática e Metanálise

BackgroundThere is conflicting information about whether lung ultrasound assessed by B-lines has prognostic value in patients with heart failure (HF).ObjectivesTo evaluate the prognostic value of lung ultrasound assessed by B-lines in HF patients.MethodsFour databases (PubMed, EMBASE, Cochrane Library, and Scopus) were systematically searched to identify relevant articles. We pooled the hazard ratio (HR) and 95% confidence interval (CI) from eligible studies and carried out heterogeneity, quality assessment, and publication bias analyses. Data were pooled using a fixed-effects or random-effect model. A p value < 0.05 was considered to indicate statistical significance.ResultsNine studies involving 1,212 participants were included in the systematic review. B-lines > 15 and > 30 at discharge were significantly associated with increased risk of combined outcomes of all-cause mortality or HF hospitalization (HR, 3.37, 95% CI, 1.52-7.47; p = 0.003; HR, 4.01, 95% CI, 2.29-7.01; p < 0.001, respectively). A B-line > 30 cutoff at discharge was significantly associated with increased risk of HF hospitalization (HR, 9.01, 95% CI, 2.80-28.93; p < 0.001). Moreover, a B-line > 3 cutoff significantly increased the risk for combined outcomes of all-cause mortality or HF hospitalization in HF outpatients (HR, 3.21, 95% CI, 2.09-4.93; I2 = 10%; p < 0.00001).ConclusionB-lines could predict all-cause mortality and HF hospitalizations in patients with HF. Further large randomized controlled trials are needed to explore whether dealing with B-lines would improve the prognosis in clinical settings.