ABSTRACT
Recently, patients with out-of-hospital cardiac arrest (OHCA) refractory to conventional resuscitation have started undergoing extracorporeal cardiopulmonary resuscitation (ECPR). However, the mortality rate of these patients remains high. This study aimed to clarify whether a center ECPR volume was associated with the survival rates of adult patients with OHCA resuscitated using ECPR. This was a secondary analysis of a retrospective multicenter registry study, the SAVE-J II study, involving 36 participating institutions in Japan. Centers were divided into three groups according to the tertiles of the annual average number of patients undergoing ECPR: high-volume (≥ 21 sessions per year), medium-volume (11-20 sessions per year), or low-volume (< 11 sessions per year). The primary outcome was survival rate at the time of discharge. Patient characteristics and outcomes were compared among the three groups. Moreover, a multivariable-adjusted logistic regression model was applied to study the impact of center ECPR volume. A total of 1740 patients were included in this study. The center ECPR volume was strongly associated with survival rate at the time of discharge; furthermore, survival rate was best in high-volume compared with medium- and low-volume centers (33.4%, 24.1%, and 26.8%, respectively; P = 0.001). After adjusting for patient characteristics, undergoing ECPR at high-volume centers was associated with an increased likelihood of survival compared to middle- (adjusted odds ratio 0.657; P = 0.003) and low-volume centers (adjusted odds ratio 0.983; P = 0.006). The annual number of ECPR sessions was associated with favorable survival rates and lower complication rates of the ECPR procedure.Clinical trial registration: https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000041577 (unique identifier: UMIN000036490).
Subject(s)
Cardiopulmonary Resuscitation , Out-of-Hospital Cardiac Arrest , Adult , Humans , Out-of-Hospital Cardiac Arrest/therapy , Hospital Mortality , Treatment Outcome , Cardiopulmonary Resuscitation/methods , Retrospective StudiesABSTRACT
BACKGROUND: Risk stratification is important in patients with post-cardiac arrest syndrome. The Post-Cardiac Arrest Syndrome for Therapeutic Hypothermia (CAST) and revised CAST (rCAST) scores have been well validated for predicting neurological outcomes, particularly for conventionally resuscitated patients with post-cardiac arrest syndrome. However, no studies have evaluated patients undergoing extracorporeal cardiopulmonary resuscitation. METHODS AND RESULTS: Adult patients with out-of-hospital cardiac arrest who underwent extracorporeal cardiopulmonary resuscitation were analyzed in this retrospective observational multicenter cohort study. We validated the accuracy of the CAST/rCAST scores for predicting neurological outcomes at 30 days. Moreover, we compared the predictive performance of these scores with the TiPS65 risk score derived from patients with out-of-hospital cardiac arrest who were resuscitated using extracorporeal cardiopulmonary resuscitation. A total of 1135 patients were analyzed. The proportion of patients with favorable neurological outcomes was 16.6%. In the external validation, the area under the receiver operating characteristic curve of the CAST score was significantly higher than that of the rCAST score (area under the receiver operating characteristic curve 0.677 versus 0.603; P<0.001), but there was no significant difference with that of the TiPS65 score (versus 0.633; P=0.154). Both CAST/rCAST risk scores showed good calibration (Hosmer-Lemeshow test: P=0.726 and 0.674), and the CAST score showed significantly better predictability in net reclassification compared with the rCAST (P<0.001) and TiPS65 scores (P=0.001). CONCLUSIONS: The prognostic accuracy of the CAST score was significantly better than that of other risk scores in net reclassification. The CAST score may help to predict neurological outcomes in patients with out-of-hospital cardiac arrest who undergo extracorporeal cardiopulmonary resuscitation. However, the predictive value of the CAST score was not sufficiently high for clinical application. REGISTRATION: URL: https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000041577; Unique identifier: UMIN000036490.
Subject(s)
Cardiopulmonary Resuscitation , Out-of-Hospital Cardiac Arrest , Post-Cardiac Arrest Syndrome , Adult , Humans , Out-of-Hospital Cardiac Arrest/diagnosis , Out-of-Hospital Cardiac Arrest/therapy , Cohort Studies , Retrospective Studies , Prognosis , Cardiopulmonary Resuscitation/methodsABSTRACT
BACKGROUND: Risk stratification is important in patients with acute heart failure (AHF), and a simple risk score that accurately predicts mortality is needed. The aim of this study is to develop a user-friendly risk-prediction model using a machine-learning method. METHODS: A machine-learning-based risk model using least absolute shrinkage and selection operator (LASSO) regression was developed by identifying predictors of in-hospital mortality in the derivation cohort (REALITY-AHF), and its performance was externally validated in the validation cohort (NARA-HF) and compared with two pre-existing risk models: the Get With The Guidelines risk score incorporating brain natriuretic peptide and hypochloremia (GWTG-BNP-Cl-RS) and the acute decompensated heart failure national registry risk (ADHERE). RESULTS: In-hospital deaths in the derivation and validation cohorts were 76 (5.1â¯%) and 61 (4.9â¯%), respectively. The risk score comprised four variables (systolic blood pressure, blood urea nitrogen, serum chloride, and C-reactive protein) and was developed according to the results of the LASSO regression weighting the coefficient for selected variables using a logistic regression model (4â¯V-RS). Even though 4â¯V-RS comprised fewer variables, in the validation cohort, it showed a higher area under the receiver operating characteristic curve (AUC) than the ADHERE risk model (AUC, 0.783 vs. 0.740; pâ¯=â¯0.059) and a significant improvement in net reclassification (0.359; 95â¯% CI, 0.10-0.67; pâ¯=â¯0.006). 4â¯V-RS performed similarly to GWTG-BNP-Cl-RS in terms of discrimination (AUC, 0.783 vs. 0.759; pâ¯=â¯0.426) and net reclassification (0.176; 95â¯% CI, -0.08-0.43; pâ¯=â¯0.178). CONCLUSIONS: The 4â¯V-RS model comprising only four readily available data points at the time of admission performed similarly to the more complex pre-existing risk model in patients with AHF.
Subject(s)
Heart Failure , Humans , Risk Assessment/methods , Risk Factors , Hospitalization , Machine Learning , Natriuretic Peptide, BrainABSTRACT
Lacosamide is an antiepileptic drug that acts on voltage-gated sodium channels and was approved as an antiepileptic by the Food and Drug Administration in 2008. Although the efficacy and safety of lacosamide have been established in many previous trials, some case reports have shown that it may lead to cardiovascular side effects, especially in patients with electrical conduction system disorders. We herein report a case of life-threatening cardiac arrhythmia caused by lacosamide intoxication that was successfully treated with veno-arterial extracorporeal membrane oxygenation.
Subject(s)
Extracorporeal Membrane Oxygenation , Humans , Lacosamide , Anticonvulsants/therapeutic use , TachycardiaABSTRACT
Although hypochloremia is strongly associated with adverse prognosis in acute heart failure (AHF), it is unknown whether incorporating hypochloremia into the preexisting risk model improves the model performance. We calculated the Get With The Guidelines-Heart Failure (GWTG-HF) risk score in 1,428 patients with AHF (derivation cohort) and developed 2 risk scores incorporating brain natriuretic peptide (BNP) into the GWTG-HF risk score (GWTG-BNP risk score) and incorporating both BNP and hypochloremia (GWTG-BNP-Cl risk score). Hypochloremia was defined as <98 mmol/L. The external validation and comparison of model performance were performed in an independent group of 1,256 patients with AHF (validation cohort). All models were tested for in-hospital mortality. Hypochloremia was observed in 9.4% and 12.2% of the derivation and validation cohorts, respectively. Hypochloremia was an independent predictor of in-hospital mortality in the derivation cohort (odds ratio 2.02; p = 0.028). In the validation cohort, the GWTG-HF, GWTG-BNP, and GWTG-BNP-Cl risk scores demonstrated good discrimination (area under the curve: 0.742, 0.749, and 0.763, respectively). However, the GWTG-BNP-Cl risk score was more reliable than the GWTG-HF and GWTG-BNP risk scores in risk reclassification (net reclassification improvement: 0.491 and 0.408, respectively; p <0.01 for both). Moreover, this score demonstrated a good calibration of the GWTG-BNP-Cl model (Hosmer-Lemeshow test: p = 0.479). In conclusion, incorporating hypochloremia into the preexisting risk model improves the model performance.
Subject(s)
Chlorides/blood , Heart Failure/blood , Heart Failure/epidemiology , Water-Electrolyte Imbalance/complications , Acute Disease , Aged , Aged, 80 and over , Female , Heart Failure/diagnosis , Hospital Mortality , Humans , Male , Middle Aged , Natriuretic Peptide, Brain/blood , Practice Guidelines as Topic , Risk Factors , Water-Electrolyte Imbalance/diagnosisABSTRACT
BACKGROUND: In patients with chronic heart failure with reduced ejection fraction (HFrEF), cardiac resynchronization therapy (CRT) improves left ventricular ejection fraction (LVEF) and exercise-based cardiac rehabilitation (ECR) enhances exercise capacity. This study examined the relationship between the 2 responses.MethodsâandâResults:Sixty-four consecutive HFrEF patients who participated in a 3-month ECR program after CRT were investigated. Patients were categorized according to a median improvement in peak oxygen uptake (PVÌO2) after ECR of 7% as either good (n=32; mean percentage change in PVÌO2[%∆PVÌO2]=23.2%) or poor (n=32; mean %∆PVÌO2=2.5%) responders. There was no significant difference in baseline characteristics between the good and poor responders, except for PVÌO2(51% vs. 59%, respectively; P=0.01). The proportion of good CRT responders was similar between the good and poor responders (%∆LVEF ≥10%; 53% vs. 47%, respectively; P=NS). Overall, there was no significant correlation between %∆LVEF after CRT and %∆PVÌO2after ECR. Notably, among poor CRT responders (n=32), the prevalence of atrial fibrillation (0% vs. 29%; P<0.03) and baseline PVÌO2(48% vs. 57%; P<0.05) were significantly lower among those with a good (n=15) than poor (n=17) response to ECR. CONCLUSIONS: In patients with HFrEF, good ECR and CRT responses are unrelated. A good PVÌO2response to ECR can be achieved even in poor CRT responders, particularly in those with a sinus rhythm or low baseline PVÌO2.
Subject(s)
Atrial Fibrillation , Cardiac Rehabilitation , Cardiac Resynchronization Therapy , Heart Failure , Atrial Fibrillation/therapy , Exercise Tolerance , Heart Failure/therapy , Humans , Stroke Volume/physiology , Treatment Outcome , Ventricular Function, LeftABSTRACT
Pulmonary arterial hypertension (PAH) is a rare, devastating disease, characterized by elevated pulmonary arterial pressure due to pulmonary microvascular obstruction, which can result in heart failure and death. PAH can be associated with exposure to certain drugs or toxins. We herein report a case in which PAH developed in a patient with refractory ulcerative colitis during treatment with "Qing-Dai," a Chinese herbal medicine. The patient's PAH improved after the discontinuation of Qing-Dai.
Subject(s)
Drugs, Chinese Herbal/adverse effects , Hypertension, Pulmonary/chemically induced , Colitis, Ulcerative/drug therapy , Drugs, Chinese Herbal/therapeutic use , Female , Humans , Middle AgedABSTRACT
In the acute phase of a thyroid crisis, the cardiovascular mortality rate is high and the likelihood of death and severity of heart failure increase significantly with an increasing heart rate. Thus, heart rate control is essential to avoid cardiac death. Propranolol has been used to manage thyroid crisis, but worsening heart failure and cardiac arrest have been previously reported when using propranolol in such cases. Thus, short-acting beta-blockers, such as landiolol and esmolol, are recommended, especially in patients with a low ejection fraction and severe heart failure. Our patient was a 49-year-old woman with a medical history of Graves' disease, who stopped attending her control visits 1 year earlier. She presented with symptoms of heart failure, atrial fibrillation, and tachycardia. She was diagnosed with thyroid storm and low-ejection-fraction heart failure. After 2.5 h of treatment with landiolol, her heart suddenly arrested. Cardiopulmonary resuscitation was performed immediately and circulation was re-established. After receiving treatment for the thyroid crisis and heart failure, she was discharged without any sequelae. To the best of our knowledge, cardiac collapse caused by landiolol has not been previously reported. We wish to emphasize the importance of close hemodynamic monitoring when using landiolol in such cases.