ObjectiveTo analyze the effect of microecological preparation on digestive tract complications and nutritional status after esophageal cancer surgery.MethodsA total of 146 patients with esophageal cancer admitted to the Department of Thoracic Surgery, Renmin Hospital of Wuhan University from October 2017 to June 2019 were selected. There were 91 males and 55 females, aged 65 (61.9±8.2) years. They were randomly divided into two groups (an observation group and a control group, n=73 in each group) according to whether microecological preparation was given when they could take food one week after the surgery. Nutritional status and the incidence of gastrointestinal complications including anorexia, acid reflux, nausea, vomiting and diarrhea (≥3 times per day) in the first month after operation were compared between the two groups.ResultsThe incidence of anorexia, nausea, diarrhea (≥3 times per day), anastomotic fistula and stenosis in the observation group was lower and the index of nutritional status was higher than those in the control group within one month after the operation (all P<0.05). There was no statistically significant difference in acid reflux, vomiting, lung infection and incision infection between the two groups (all P>0.05).ConclusionMicroecological preparation can regulate gastrointestinal microecological balance, improve nutritional status, reduce the incidence of gastrointestinal complications and accelerate the postoperative rehabilitation.
ObjectiveTo summarize the clinical experience in the prevention and treatment of novel coronavirus (2019-nCoV, SARS-CoV-2) disease (COVID-19) in the department of thoracic surgery of large grade A tertiary hospitals in Wuhan, and to provide feasible clinical practice strategies.MethodsThe clinical data of 41 COVID-19 patients in the department of thoracic surgery of 7 large grade A tertiary hospitals in Wuhan from December 15, 2019 to February 15, 2020 were analyzed retrospectively. There were 20 surgical patients (10 males and 10 females at an average age of 54.35±10.80 years) and 21 medical personnel (7 males and 14 females at an average age of 30.38±6.23 years).ResultsThe main clinical manifestations of COVID-19 patients were fever (70.73%) and cough (53.66%). Normal or reduced peripheral white blood cells and reduced lymphocyte counts were found in the COVID-19 patients, and some patients may have increased C-reactive protein. COVID-19 patients showed limited ground-glass opacities in early chest CT, which was evident in the edge band of lung. The disease could further develop into multiple pulmonary infiltrations, and pulmonary consolidation was found in severe cases. At the time of confirmed diagnosis, most of the medical personnel were ground-glass shadows and unilateral lesions, and even no obvious abnormalities were found in the lungs. The diagnosed COVID-19 patients were transferred to the isolation ward immediately and treated according to the "Diagnosis and Treatment Program of Novel Coronavirus Pneumonia", which was released by the National Health Commission of the People's Republic of China. At the end of follow-up on February 20, 2020, seven surgical patients (35.00%) were discharged and seven (35.00%) were dead, 13 (61.90%) medical personnel were discharged and no death was found.ConclusionsOf all COVID-19 patients in the department of thoracic surgery of hospitals in Wuhan, the proportion of severe degree and mortality in surgical patients are significantly higher than that of the general population, and medical personnel are prone to nosocomial infections. Early oxygen therapy and respiratory support may improve prognosis. During the epidemic period of COVID-19, elective or limited surgery is suggested to be postponed and the indications for emergency operation should be strictly controlled. Emergency operation is suggested to be treated in accordance with tertiary prevention. On the consideration of specialty in the department of thoracic surgery, all people of the ward should be carefully investigated for infection once one case is confirmed with COVID-19. Early detection, isolation, diagnosis, and treatment are the best preventive measures to improve the prognosis of COVID-19.
ObjectiveTo construct a prognostic model of esophageal squamous cell carcinoma (ESCC) based on immune checkpoint-related genes and explore the potential relationship between these genes and the tumor microenvironment (TME). Methods The transcriptome sequencing data and clinical information of immune checkpoint genes of samples from GSE53625 in GEO database were collected. The difference of gene expression between ESCC and normal paracancerous tissues was evaluated, and the drug sensitivity of differentially expressed genes in ESCC was analyzed. We then constructed a risk model based on survival-related genes and explored the prognostic characteristics, enriched pathway, immune checkpoints, immune score, immune cell infiltration, and potentially sensitive drugs of different risk groups. ResultsA total of 358 samples from 179 patients were enrolled, including 179 ESCC samples and 179 corresponding paracancerous tissues. There were 33 males and 146 females, including 80 patients≤60 years and 99 patients>60 years. 39 immune checkpoint genes were differentially expressed in ESCC, including 14 low expression genes and 25 high expression genes. Drug sensitivity analysis of 8 highly expressed genes (TNFRSF8, CTLA4, TNFRSF4, CD276, TNFSF4, IDO1, CD80, TNFRSF18) showed that many compounds were sensitive to these immunotherapy targets. A risk model based on three prognostic genes (NRP1, ICOSLG, HHLA2) was constructed by the least absolute shrinkage and selection operator analysis. It was found that the overall survival time of the high-risk group was significantly lower than that of the low-risk group (P<0.001). Similar results were obtained in different ESCC subtypes. The risk score based on the immune checkpoint gene was identified as an independent prognostic factor for ESCC. Different risk groups had unique enriched pathways, immune cell infiltration, TME, and sensitive drugs. Conclusion A prognostic model based on immune checkpoint gene is established, which can accurately stratify ESCC and provide potential sensitive drugs for ESCC with different risks, thus providing a possibility for personalized treatment of ESCC.