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Background Although machine learning-based prediction models for in-hospital cardiac arrest (IHCA) have been widely investigated, it is unknown whether a model based on vital signs alone (Vitals-Only model) can perform similarly to a model that considers both vital signs and laboratory results (Vitals+Labs model). Methods All adult patients hospitalized in a tertiary care hospital in Japan between October 2011 and October 2018 were included in this study. Random forest models with/without laboratory results (Vitals+Labs model and Vitals-Only model, respectively) were trained and tested using chronologically divided datasets. Both models use patient demographics and eighthourly vital signs collected within the previous 48 hours. The primary and secondary outcomes were the occurrence of IHCA in the next 8 and 24 hours, respectively. The area under the receiver operating characteristic curve (AUC) was used as a comparative measure. Sensitivity analyses were performed under multiple statistical assumptions. Results Of 141,111 admitted patients (training data: 83,064, test data: 58,047), 338 had an IHCA (training data: 217, test data: 121) during the study period. The Vitals-Only model and Vitals +Labs model performed comparably when predicting IHCA within the next 8 hours (Vitals-Only model vs Vitals+Labs model, AUC = 0.862 [95% confidence interval (CI): 0.855-0.868] vs 0.872 [95% CI: 0.867-0.878]) and 24 hours (Vitals-Only model vs Vitals+Labs model,

Aim Disease characteristics of primary biliary cholangitis have changed recently. However, detailed studies on the subject have been limited. Therefore, we aimed to clarify disease characteristics of patients with recent primary biliary cholangitis using the cohort from Niigata University and 21 affiliated hospitals. Methods Overall, 508 patients were enrolled in this study from 1982 to 2016, divided into three cohorts according to their year of diagnosis: ≤1999, 2000–2009 and ≥2010. We compared differences in clinical characteristics, response to ursodeoxycholic acid and prognosis. Results The male‐to‐female ratio increased incrementally from 1:16.4 (≤1999) to 1:3.8 (≥2010) (P < 0.001). In women, the median age at diagnosis increased incrementally from 54.0 years (≤1999) to 60.5 years (≥2010) (P < 0.001) and serum albumin decreased gradually (P = 0.001), which might have affected the increase in the Fibrosis‐4 Index and albumin–bilirubin score. The ursodeoxycholic acid response rate according to the Barcelona criteria increased incrementally from 26.7% (≤1999) to 78.4% (≥2010) (P < 0.010), and those according to other criteria (Paris‐I, Rotterdam and Toronto) were approximately ≥80% in all cohorts. Ten‐year survival rate in the ≤1999 and 2000–2009 cohorts were 98.6% and 95.6%, respectively. These earlier cohorts were also characterized by a higher rate of asymptomatic state and mild histology (83.5% [≤1999] and 84.7% [2000–2009], and 93.6% [≤1999] and 91.1% [2000–2009]). Conclusions Patients with primary biliary cholangitis were characterized by older age at diagnosis and an increase in male to female ratio as well as higher response rates of ursodeoxycholic acid and longer survival, resulting from the early recognition of primary biliary cholangitis.

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Background and Aim Symptoms of primary biliary cholangitis (PBC) frequently impair one's quality of life (QOL). Nonetheless, with improved treatment, the prognosis of PBC also improves. QOL plays an important role in patients with PBC. In this study, we aimed to reevaluate the transition of new symptom development in PBC and its predictive factors. Methods This retrospective multicenter study enrolled 382 patients with PBC for symptom analysis. The impact of a newly developed symptom on PBC prognosis was investigated by Kaplan–Meier analysis with propensity score matching and logistic progression analysis. Results The cumulative risk of developing a new symptom after 10 and 20 years of follow‐up was 7.6 and 28.2%, and specifically that of pruritus, which was the most common symptom, was 6.7 and 23.3%, respectively. In Cox hazard risk analysis, serum Alb level (hazard ratio [HR], 1.097; 95% confidence interval [CI], 1.033–1.165; P = 0.002), the serum D‐Bil level (HR, 6.262; 95% CI, 2.522–15.553, P < 0.001), and Paris II criteria (HR, 0.435; 95% CI, 0.183–1.036; P = 0.037) were significant independent predictors of a new symptom. Kaplan–Meier analysis showed that the overall survival and liver‐related death were not significant between patients with and without a new symptom. Conclusion The cumulative risk of new symptom development is roughly 30% 20 years after diagnosis and could be predicted by factors including serum albumin levels, serum D‐Bil level, and Paris II criteria.