Serum microRNAs are key predictors of long-term heart failure and cardiovascular death after myocardial infarction.

BACKGROUND: Patients with acute myocardial infarction (MI) are at high risk of upcoming events, in particular heart failure (HF), but reliable stratification methods are lacking. Our goal was to evaluate the potential role of circulating miRNAs as prognostic biomarkers in patients presenting with MI. METHODS AND RESULTS: We conducted a prospective study among 311 consecutive patients hospitalized with MI (65% ST-segment elevation MI & median age of 55 years) with long-term follow-up. An initial screening was conducted to select candidate miRNAs, with subsequent study of 14 candidate miRNAs. The primary outcome was the composite of hospital admission for HF or cardiovascular death. During a mean follow-up of 2.1 years miR-21-5p, miR-23a-3p, miR27b-3p, miR-122-5p, miR210-3p, and miR-221-3p reliably predicted the primary outcome. Multivariate Cox regression analyses highlighted that miR-210-3p [hazard ratio (HR) 2.65 per 1 SD increase, P < 0.001], miR-23a-3p (HR 2.11 per 1 SD increase, P < 0.001), and miR-221-3p (HR 2.03 per 1 SD increase, P < 0.001) were able to accurately predict the primary outcome, as well as cardiovascular death, HF hospitalizations, and long-term New York Heart Association (NYHA) functional class. These three miRNAs clearly improved the performance of multivariate clinical models: ΔC-statistic = 0.10 [95% confidence interval (CI), 0.03-0.17], continuous net reclassification index = 34.8% (95%CI, 5.8-57.4%), and integrated discrimination improvement (P < 0.001). CONCLUSIONS: This is the largest study evaluating the prognostic value of circulating miRNAs for HF-related events among patients with MI. We show that several miRNAs predict HF hospitalizations, cardiovascular mortality, and poor long-term NYHA status and improve current risk prediction methods.

Preoperative clinical model to predict myocardial injury after non-cardiac surgery: a retrospective analysis from the MANAGE cohort in a Spanish hospital.

OBJECTIVES: To determine preoperative factors associated to myocardial injury after non-cardiac surgery (MINS) and to develop a prediction model of MINS. DESIGN: Retrospective analysis. SETTING: Tertiary hospital in Spain. PARTICIPANTS: Patients aged ≥45 years undergoing major non-cardiac surgery and with at least two measures of troponin levels within the first 3 days of the postoperative period. All patients were screened for the MANAGE trial. PRIMARY AND SECONDARY OUTCOME MEASURES: We used multivariable logistic regression analysis to study risk factors associated with MINS and created a score predicting the preoperative risk for MINS and a nomogram to facilitate bed-side use. We used Least Absolute Shrinkage and Selection Operator method to choose the factors included in the predictive model with MINS as dependent variable. The predictive ability of the model was evaluated. Discrimination was assessed with the area under the receiver operating characteristic curve (AUC) and calibration was visually assessed using calibration plots representing deciles of predicted probability of MINS against the observed rate in each risk group and the calibration-in-the-large (CITL) and the calibration slope. We created a nomogram to facilitate obtaining risk estimates for patients at pre-anaesthesia evaluation. RESULTS: Our cohort included 3633 patients recruited from 9 September 2014 to 17 July 2017. The incidence of MINS was 9%. Preoperative risk factors that increased the risk of MINS were age, American Status Anaesthesiology classification and vascular surgery. The predictive model showed good performance in terms of discrimination (AUC=0.720; 95% CI: 0.69 to 0.75) and calibration slope=1.043 (95% CI: 0.90 to 1.18) and CITL=0.00 (95% CI: -0.12 to 0.12). CONCLUSIONS: Our predictive model based on routinely preoperative information is highly affordable and might be a useful tool to identify moderate-high risk patients before surgery. However, external validation is needed before implementation.

[Acute lithium poisoning: epidemiology, clinical characteristics, and treatment]. / Epidemiología, características clínicas y tratamiento de la intoxicación aguda por litio.

Lithium continues to be the treatment of choice for bipolar disorder. Acute lithium poisoning is a potentially serious event. We present a retrospective observational significative study of episodes of acute lithium poisoning during a 52- month period. Poisoning was defined by a blood lithium concentration of 1.5 mEq/L or higher. We analyzed treatment and epidemiologic and clinical characteristics of 70 episodes were identified (incidence density among treated patients, 1.76 per 100 patient-years). The most frequent cause of lithium poisoning was a concurrent medical condition (46%). Most poisonings were mild (74.2%), but neurologic involvement was identified in 40.3%. Electrocardiographic abnormalities were found in 8 cases. Acute renal failure, found in 23 patients (37.1%), was mild in most cases, although 11 patients required hemodialysis. We concluded that acute lithium poisoning is an uncommon complication, but risk needs to be lowered. Patients should be warned to avoid dosage errors and to take special care during concurrent illnesses and while taking other medications.

El litio sigue siendo el tratamiento de elección en el trastorno bipolar. La intoxicación aguda por litio (IAL) es un cuadro potencialmente grave. Se presenta un estudio observacional, retrospectivo de las IAL observadas durante un periodo de 52 meses. Se definió como IAL cuando se registró una concentración de litio en sangre 1,5 mEq/L. Se analizaron sus características clínicas, epidemiológicas y su tratamiento de 70 episodios de IAL (densidad de incidencia: 1,76 IAL por cada 100 pacientes tratados-año). La causa más frecuente de IAL fue un proceso patológico intercurrente (46%). La mayoría fueron de carácter leve (74,2 %), con sintomatología neurológica en el 40,3%. En 8 IAL hubo alteraciones electrocardiográficas, 23 IAL (37,1%) se asociaron con fracaso renal agudo, la mayoría de carácter leve y 11 precisaron hemodiálisis. Se concluye que la IAL es una complicación infrecuente, pero es necesario disminuir su riesgo advirtiendo al paciente ante la existencia de procesos intercurrentes, errores en la posología o polimedicación.

Importance of Bnp changes during the follow-up in elderly outpatients with heart failure.

BACKGROUND: The aim of the present study was to analyze whether absolute BNP and relative BNP change values during follow-up of elderly patients with chronic HF could predict the development of acute decompensated episodes. METHODS AND RESULTS: A total population of 108 elderly outpatients with the diagnosis of HF was retrospectively reviewed. Available BNP levels after at least one stable visit and one acute decompensated episode were required. Follow-up period was 12 months (343 visits, 42.6% decompensated HF episodes). Relative BNP changes were analyzed: "CC period" (patients who remained stable) and "CD period" (patient who suffered from a decompensated HF episode). Changes in BNP levels were significantly higher in CD than in CC periods (mean and median differences 138% and 85%, vs 16% and 0%, respectively; p<0.001). The clinical model (AUC=0.83) had a sensitivity of 67.06%, and a specificity of 80.36%. Relative BNP change (29%) showed by itself, a similar AUC (0.83) and specificity (79%) and an improved sensitivity (0.80) than the clinical model. When relative BNP change was introduced at the clinical model, a similar specificity was obtained and the diagnostic accuracy, AUC (0.89 vs 0.83, p=0.01) and sensitivity were improved. Absolute BNP changes showed worse AUC than that derived from relative BNP changes or clinical assessment. CONCLUSIONS: Percent BNP change values during the follow-up showed better results than absolute BNP values and improved the clinical assessment for diagnostic of decompensated HF episodes in elderly outpatients.

Analytical evaluation of the automated galectin-3 assay on the Abbott ARCHITECT immunoassay instruments.

BACKGROUND: Galectin-3 is secreted from macrophages and binds and activates fibroblasts forming collagen. Tissue fibrosis is central to the progression of chronic heart failure (CHF). We performed a European multicentered evaluation of the analytical performance of the two-step routine and Short Turn-Around-Time (STAT) galectin-3 immunoassay on the ARCHITECT i1000SR, i2000SR, and i4000SR (Abbott Laboratories). METHODS: We evaluated the assay precision and dilution linearity for both routine and STAT assays and compared serum and plasma, and fresh vs. frozen samples. The reference interval and biological variability were also assessed. Measurable samples were compared between ARCHITECT instruments and between the routine and STAT assays and also to a galectin-3 ELISA (BG Medicine). RESULTS: The total assay coefficient of variation (CV%) was 2.3%-6.2% and 1.7%-7.4% for the routine and STAT assays, respectively. Both assays demonstrated linearity up to 120 ng/mL. Galectin-3 concentrations were higher in plasma samples than in serum samples and correlated well between fresh and frozen samples (R=0.997), between the routine and STAT assays, between the ARCHITECT i1000 and i2000 instruments and with the galectin-3 ELISA. The reference interval on 627 apparently healthy individuals (53% male) yielded upper 95th and 97.5th percentiles of 25.2 and 28.4 ng/mL, respectively. Values were significantly lower in subjects younger than 50 years. CONCLUSIONS: The galectin-3 routine and STAT assays on the Abbott ARCHITECT instruments demonstrated good analytical performance. Further clinical studies are required to demonstrate the diagnostic and prognostic potential of this novel marker in patients with CHF.