AimsTakotsubo syndrome (TTS) is associated with a substantial rate of adverse events. We sought to design a machine learning (ML)-based model to predict the risk of in-hospital death and to perform... Show moreAimsTakotsubo syndrome (TTS) is associated with a substantial rate of adverse events. We sought to design a machine learning (ML)-based model to predict the risk of in-hospital death and to perform a clustering of TTS patients to identify different risk profiles.Methods and resultsA ridge logistic regression-based ML model for predicting in-hospital death was developed on 3482 TTS patients from the International Takotsubo (InterTAK) Registry, randomly split in a train and an internal validation cohort (75% and 25% of the sample size, respectively) and evaluated in an external validation cohort (1037 patients). Thirty-one clinically relevant variables were included in the prediction model. Model performance represented the primary endpoint and was assessed according to area under the curve (AUC), sensitivity and specificity. As secondary endpoint, a K-medoids clustering algorithm was designed to stratify patients into phenotypic groups based on the 10 most relevant features emerging from the main model. The overall incidence of in-hospital death was 5.2%. The InterTAK-ML model showed an AUC of 0.89 (0.85–0.92), a sensitivity of 0.85 (0.78–0.95) and a specificity of 0.76 (0.74–0.79) in the internal validation cohort and an AUC of 0.82 (0.73–0.91), a sensitivity of 0.74 (0.61–0.87) and a specificity of 0.79 (0.77–0.81) in the external cohort for in-hospital death prediction. By exploiting the 10 variables showing the highest feature importance, TTS patients were clustered into six groups associated with different risks of in-hospital death (28.8% vs. 15.5% vs. 5.4% vs. 1.0.8% vs. 0.5%) which were consistent also in the external cohort.ConclusionA ML-based approach for the identification of TTS patients at risk of adverse short-term prognosis is feasible and effective. The InterTAK-ML model showed unprecedented discriminative capability for the prediction of in-hospital death. Show less
Suverein, M.M.; Delnoij, T.S.R.; Lorusso, R.; Bruinsma, G.J.B.B.; Otterspoor, L.; Kraemer, C.V.E.; ... ; Poll, M.C.G. van de 2023
BACKGROUNDExtracorporeal cardiopulmonary resuscitation (CPR) restores perfusion and oxy-genation in a patient who does not have spontaneous circulation. The evidencewith regard to the effect of... Show moreBACKGROUNDExtracorporeal cardiopulmonary resuscitation (CPR) restores perfusion and oxy-genation in a patient who does not have spontaneous circulation. The evidencewith regard to the effect of extracorporeal CPR on survival with a favorable neu-rologic outcome in refractory out-of-hospital cardiac arrest is inconclusive.METHODSIn this multicenter, randomized, controlled trial conducted in the Netherlands, weassigned patients with an out-of-hospital cardiac arrest to receive extracorporealCPR or conventional CPR (standard advanced cardiac life support). Eligible patientswere between 18 and 70 years of age, had received bystander CPR, had an initialventricular arrhythmia, and did not have a return of spontaneous circulationwithin 15 minutes after CPR had been initiated. The primary outcome was sur-vival with a favorable neurologic outcome, defined as a Cerebral PerformanceCategory score of 1 or 2 (range, 1 to 5, with higher scores indicating more severedisability) at 30 days. Analyses were performed on an intention-to-treat basis.RESULTSOf the 160 patients who underwent randomization, 70 were assigned to receiveextracorporeal CPR and 64 to receive conventional CPR; 26 patients who did notmeet the inclusion criteria at hospital admission were excluded. At 30 days, 14 pa-tients (20%) in the extracorporeal-CPR group were alive with a favorable neuro-logic outcome, as compared with 10 patients (16%) in the conventional-CPR group(odds ratio, 1.4; 95% confidence interval, 0.5 to 3.5; P = 0.52). The number of seri-ous adverse events per patient was similar in the two groups.CONCLUSIONSIn patients with refractory out-of-hospital cardiac arrest, extracorporeal CPR andconventional CPR had similar effects on survival with a favorable neurologic out-come. (Funded by the Netherlands Organization for Health Research and Develop-ment and Maquet Cardiopulmonary [Getinge]; INCEPTION ClinicalTrials.govnumber, NCT03101787.) Show less
Imori, Y.; Kato, K.; Cammann, V.L.; Szawan, K.A.; Wischnewsky, M.; Dreiding, S.; ... ; Templin, C. 2021
Background Ethnic disparities have been reported in cardiovascular disease. However, ethnic disparities in takotsubo syndrome (TTS) remain elusive. This study assessed differences in clinical... Show moreBackground Ethnic disparities have been reported in cardiovascular disease. However, ethnic disparities in takotsubo syndrome (TTS) remain elusive. This study assessed differences in clinical characteristics between Japanese and European TTS patients and determined the impact of ethnicity on in-hospital outcomes.Methods TTS patients in Japan were enrolled from 10 hospitals and TTS patients in Europe were enrolled from 32 hospitals participating in the International Takotsubo Registry. Clinical characteristics and in-hospital outcomes were compared between Japanese and European patients.Results A total of 503 Japanese and 1670 European patients were included. Japanese patients were older (72.6 +/- 11.4 years vs. 68.0 +/- 12.0 years; p < 0.001) and more likely to be male (18.5 vs. 8.4%; p< 0.001) than European TTS patients. Physical triggering factors were more common (45.5 vs. 32.0%; p < 0.001), and emotional triggers less common (17.5 vs. 31.5%; p < 0.001), in Japanese patients than in European patients. Japanese patients were more likely to experience cardiogenic shock during the acute phase (15.5 vs. 9.0%; p < 0.001) and had a higher in-hospital mortality (8.2 vs. 3.2%; p< 0.001). However, ethnicity itself did not appear to have an impact on in-hospital mortality. Machine learning approach revealed that the presence of physical stressors was the most important prognostic factor in both Japanese and European TTS patients.Conclusion Differences in clinical characteristics and in-hospital outcomes between Japanese and European TTS patients exist. Ethnicity does not impact the outcome in TTS patients. The worse in-hospital outcome in Japanese patients, is mainly driven by the higher prevalence of physical triggers. Show less
Background: Over the last decade, there has been an increasing awareness for the potential harm of the administration of too much oxygen. We aimed to describe self-reported attitudes towards oxygen... Show moreBackground: Over the last decade, there has been an increasing awareness for the potential harm of the administration of too much oxygen. We aimed to describe self-reported attitudes towards oxygen therapy by clinicians from a large representative sample of intensive care units (ICUs) in the Netherlands.Methods: In April 2019, 36 ICUs in the Netherlands were approached and asked to send out a questionnaire (59 questions) to their nursing and medical staff (ICU clinicians) eliciting self-reported behaviour and attitudes towards oxygen therapy in general and in specific ICU case scenarios.Results: In total, 1361 ICU clinicians (71% nurses, 24% physicians) from 28 ICUs returned the questionnaire. Of responding ICU clinicians, 64% considered oxygen-induced lung injury to be a major concern. The majority of respondents considered a partial pressure of oxygen (PaO2) of 6-10 kPa (45-75 mmHg) and an arterial saturation (SaO(2)) of 85-90% as acceptable for 15 minutes, and a PaO2 7-To kPa (53-75 mmHg) and SaO(2) 90-95% as acceptable for 24-48 hours in an acute respiratory distress syndrome (ARDS) patient. In most case scenarios, respondents reported not to change the fraction of inspired oxygen (FiO(2)) if SaO(2) was 90-95% or PaO2 was 12 kPa (90 mmHg).Conclusion: A representative sample of ICU clinicians from the Netherlands were concerned about oxygen-induced lung injury, and reported that they preferred PaO2 and SaO(2) targets in the lower physiological range and would adjust ventilation settings accordingly. Show less
Merriman, T.R.; Cadzow, M.; Merriman, M.E.; Phipps-Green, A.; Topless, R.; Abhishek, A.; ... ; Major, T. 2017
