title: Circulating miR-30d Predicts Survival in Patients with Acute Heart Failure.
abstract: OBJECTIVE
  Identification of novel biomarkers to identify acute heart failure (AHF) patients at high risk of mortality is an area of unmet clinical need. Recently, we reported that the baseline level of circulating miR-30d was associated with left ventricular remodeling in response to cardiac resynchronization therapy in advanced chronic heart failure patients. However, the role of circulating miR-30d as a prognostic marker of survival in patients with AHF has not been explored.
  
  
  METHODS
  Patients clinically diagnosed with AHF were enrolled and followed up for 1 year. Quantitative reverse transcription polymerase chain reactions were used to determine serum miR-30d levels. The univariate logistic regression analysis and multivariate logistic regression analysis were used to determine the predictors for all-cause mortality in AHF patients. Kaplan-Meier survival analysis was used to analyze the role of miR-30d in prediction of survival.
  
  
  RESULTS
  A total of 96 AHF patients were enrolled and followed up for 1 year. Serum miR-30d was significantly lower in AHF patients who expired in the one year follow-up period compared to those who survived. Univariate logistic regression analysis yielded 18 variables that were associated with all-cause mortality in AHF patients, while the multivariate logistic regression analysis identified 4 variables including heart rate, hemoglobin, serum sodium, and serum miR-30d level associated with mortality. ROC curve analysis showed that hemoglobin, heart rate and serum sodium displayed poor prognostic value for AHF (AUCs not higher than 0.700) compared to miR-30d level (AUC = 0.806). Kaplan-Meier survival analysis confirmed that patients with higher serum miR-30d levels had significantly lower mortality (P=0.001).
  
  
  CONCLUSIONS
  In conclusion, this study shows evidence for the predictive value of circulating miR-30d as 1-year all-cause mortality in AHF patients. Large multicentre studies are further needed to validate our findings and accelerate the transition to clinical utilization.
authors.forename: Junjie
authors.initials: J
authors.lastname: Xiao
authors.forename: Rongrong
authors.initials: R
authors.lastname: Gao
authors.forename: Yihua
authors.initials: Y
authors.lastname: Bei
authors.forename: Qiulian
authors.initials: Q
authors.lastname: Zhou
authors.forename: Yanli
authors.initials: Y
authors.lastname: Zhou
authors.forename: Haifeng
authors.initials: H
authors.lastname: Zhang
authors.forename: Mengchao
authors.initials: M
authors.lastname: Jin
authors.forename: Siqi
authors.initials: S
authors.lastname: Wei
authors.forename: Kai
authors.initials: K
authors.lastname: Wang
authors.forename: Xuejuan
authors.initials: X
authors.lastname: Xu
authors.forename: Wenming
authors.initials: W
authors.lastname: Yao
authors.forename: Dongjie
authors.initials: D
authors.lastname: Xu
authors.forename: Fang
authors.initials: F
authors.lastname: Zhou
authors.forename: Jingfa
authors.initials: J
authors.lastname: Jiang
authors.forename: Xinli
authors.initials: X
authors.lastname: Li
authors.forename: Saumya
authors.initials: S
authors.lastname: Das
mesh_terms: D000208:Acute Disease; D000368:Aged; D019540:Area Under Curve; D015415:Biomarkers / Q000097:blood; D005260:Female; D006333:Heart Failure / Q000097:blood* / Q000175:diagnosis* / Q000401:mortality / Q000503:physiopathology; D006339:Heart Rate; D006454:Hemoglobins / Q000378:metabolism; D006801:Humans; D053208:Kaplan-Meier Estimate; D016015:Logistic Models; D008297:Male; D035683:MicroRNAs / Q000097:blood*; D008875:Middle Aged; D011379:Prognosis; D011446:Prospective Studies; D012372:ROC Curve; D012964:Sodium / Q000097:blood; D020257:Ventricular Remodeling
chemical_list: D015415:Biomarkers; D006454:Hemoglobins; C546086:MIRN30b microRNA, human; D035683:MicroRNAs; D012964:Sodium
keywords: Acute heart failure; Circulating microRNAs; Survival; miR-30d