Comparison of the clinical characteristics and mortalities of severe COVID-19 patients between pre- and post-menopause women and age-matched men.

The mortality rate of young female COVID-19 patients is reported to be lower than that of young males but no significant difference in mortality was found between female and male COVID-19 patients aged over 65 years, and the underlying mechanism is unknown. We retrospectively analyzed clinical characteristics and outcomes of severely ill pre- and post-menopausal COVID-19 patients and compared with age-matched males. Of the 459 patients included, 141 aged ≤55, among whom 19 died (16 males vs. 3 females, p<0.005). While for patients >55 years (n=318), 115 died (47 females vs. 68 males, p=0.149). In patients ≤55 years old, the levels of NLR, median LDH, median c-reactive protein and procalcitonin were significantly higher while the median lymphocyte count and LCR were lower in male than in female (all p<0.0001). In patients over 55, these biochemical parameters were far away from related normal/reference values in the vast majority of these patients in both genders which were in contrast to that seen in the young group. It is concluded that the mortality of severely ill pre-menopausal but not post-menopausal COVID-19 female patients is lower than age-matched male. Our findings support the notion that estrogen plays a beneficial role in combating COVID-19.

A method to screen left ventricular dysfunction through ECG based on convolutional neural network.

OBJECTIVE: This study aims to develop an artificial intelligence-based method to screen patients with left ventricular ejection fraction (LVEF) of 50% or lesser using electrocardiogram (ECG) data alone. METHODS: Convolutional neural network (CNN) is a class of deep neural networks, which has been widely used in medical image recognition. We collected standard 12-lead ECG and transthoracic echocardiogram (TTE) data including the LVEF value. Then, we paired the ECG and TTE data from the same individual. For multiple ECG-TTE pairs from a single individual, only the earliest data pair was included. All the ECG-TTE pairs were randomly divided into the training, validation, or testing data set in a ratio of 9:1:1 to create or evaluate the CNN model. Finally, we assessed the screening performance by overall accuracy, sensitivity, specificity, positive predictive value, and negative predictive value. RESULTS: We retrospectively enrolled a total of 26 786 ECG-TTE pairs and randomly divided them into training (n = 21 732), validation (n = 2 530), and testing data set (n = 2 530). In the testing set, the CNN algorithm showed an overall accuracy of 73.9%, sensitivity of 69.2%, specificity of 70.5%, positive predictive value of 70.1%, and negative predictive value of 69.9%. CONCLUSION: Our results demonstrate that a well-trained CNN algorithm may be used as a low-cost and noninvasive method to identify patients with left ventricular dysfunction.

Effect of tramadol on perioperative immune function in patients undergoing gastric cancer surgeries.

BACKGROUND: A prospective randomized controlled trial was designed to observe the effect of tramadol on T-lymphocyte subsets, activated T cell and natural killer (NK) cells of patients undergoing gastric cancer surgeries. SUBJECTS AND METHODS: Thirty patients undergoing elective gastric cancer surgeries under general anesthesia were randomly divided into two groups. Before anesthesia induction, Group I did not receive any drugs and Group II received intramuscular tramadol 1 mg/kg. Peripheral venous blood samples were taken before anesthesia, 1 h after incision and postoperation. CD3(+), CD3(+) CD4(+), CD3(+) CD8(+), CD3(-)CD16(+) CD56(+) (NK) cells and CD3(+) human leukocyte antigen (HLA)-DR(+) (activated T cell) were measured by flow cytometer. RESULTS: One hour after incision, CD3(+), CD3(+) CD4+, CD3(+) CD4(+)/CD3(+) CD8(+), CD3(-)CD16(+) CD56(+), and CD3(+) HLA-DR(+) cells in the experimental and control group were significantly decreased compared with their baselines (P < 0.05), while the values of Group I were lower than those of Group II (P < 0.05). After surgery, the values of Group I were lower than their baselines (P < 0.05). But the values of Group II had no significant difference compared with their baselines. CONCLUSION: Tramadol can reduce the decrease of T-lymphocytes subsets and NK cells, thus improve the cellular immune function in the perioperation of gastric cancer.