Machine Learning for Predicting Distant Metastasis of Medullary Thyroid Carcinoma Using the SEER Database.

Objectives: We aimed to establish an effective machine learning (ML) model for predicting the risk of distant metastasis (DM) in medullary thyroid carcinoma (MTC).

Methods: Demographic data of MTC patients were extracted from the Surveillance, Epidemiology, and End Results (SEER) database of the National Institutes of Health between 2004 and 2015 to develop six ML algorithm models. Models were evaluated based on accuracy, precision, recall rate, 1-score, and area under the receiver operating characteristic curve (AUC).

Critical values of monitoring indexes for perioperative major adverse cardiac events in elderly patients with biliary diseases.

Background: Major adverse cardiac events (MACE) in elderly patients with biliary diseases are the main cause of perioperative accidental death, but no widely recognized quantitative monitoring index of perioperative cardiac function so far.

Aim: To investigate the critical values of monitoring indexes for perioperative MACE in elderly patients with biliary diseases.

Methods: The clinical data of 208 elderly patients with biliary diseases in our hospital from May 2016 to April 2021 were retrospectively analysed.

Hb Wanjiang: A New β-Globin Chain Variant with Two Amino Acid Substitutions (: c.255_264delinsTTTTTCTCAG).

We report a new hemoglobin (Hb) variant that we have named Hb Wanjiang (: c.255_264delinsTTTTTCTCAG). We identified this variant in a Chinese man by the next-generation sequencing (NGS) method.