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Objective To investigate the effects of socioeconomic factors on the prognosis of multiple myeloma (MM) patients and construct a prediction model for evaluating myeloma-specific survival (MSS) rates. Methods A total of 32625 patients diagnosed with MM between January 2007 and December 2016 were included through the SEER database. Cox regression model was used to analyze the predictive indicators of MSS. The results of the multivariate subgroup analysis were presented as forest plots. The significant factors identified in the multivariate Cox analysis were used to construct a nomogram. The predictive performance of the nomogram was assessed using the AUC and calibration plots. A nomogram score-based risk stratification system was constructed using a restricted cubic spline. Results Patients were divided into five groups according to their socioeconomic status (SES). Groups with higher SES had relatively higher proportions of those part of the White, insured, married, and urban populations. Age, gender, race, marital status, insurance status, and SES were independent prognostic factors of MSS (all P < 0.001). The linear trend of increased MSS risk with decreasing SES was most pronounced among the White, married, insured, and urban patients (all P < 0.001). The nomogram exhibited good discrimination and accuracy in both training and validation sets, showing AUC values of 0.701, 0.709, and 0.722 for predicting 3-, 5-, and 8-year MSS, respectively. A risk stratification model was established based on the nomogram total points and the HR, which then divided patients into three different risk levels with substantial survival disparities (all P < 0.001). Conclusion Socioeconomic factors, such as marital status, insurance status, and SES, have a significant impact on the survival outcomes of MM patients. The nomogram and the risk stratification model based on these factors can accurately and reliably predict MSS.
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@#Objective To investigate the clinical characteristics and risk factors for perioperative lung surgery patients with SARS‐CoV‐2 Omicron variant infection. Methods The clinical data of patients who underwent lung surgery at the Department of Thoracic Surgery, Renmin Hospital of Wuhan University from December 1, 2022 to January 9, 2023 were retrospectively analyzed. The patients were divided into an infection group and a non-infection group according to whether they were infected with SARS-CoV-2. And the clinical data of two groups were collected and compared. Multiple linear regression analysis was used to explore the risk factors affecting the time of hospitalization. Results A total of 70 patients were enrolled in this study, including 36 (51.4%) males and 34 (48.6%) females at a median age of 61.0 (49.0, 66.8) years. There were 28 patients in the infection group and 42 patients in the non-infection group. The proportion of preoperative abnormal coagulation function and the risk of postoperative pulmonary infection in perioperative patients infected with SARS-CoV-2 were higher than those in the non-infection group (P<0.05). Subgroup analysis found that patients with preoperative SARS-CoV-2 infection were more likely to have pulmonary infection after surgery, but did not prolong the time of hospitalization or increase the risk of severe disease rate. The patients with postoperative SARS-CoV-2 infection had worse clinical prognosis, including longer time of hospitalization (P=0.004), higher ICU admission rate (P=0.000), higher lung infection rate (P=0.003) and respiratory failure rate (P=0.000). Multiple linear regression analysis showed that gender and extent of surgery were independent risk factors for prolonged hospitalization time. Conclusion Preoperative infection with SARS-CoV-2 Omicron variant will increase the risk of pulmonary infection, but it will not affect the clinical prognosis. However, postoperative infection with SARS-CoV-2 Omicron variant will still prolong the time of hospitalization, increase the ICU rate, and the risk of pulmonary complications.
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Objective:To retrospectively analyze the experience of our center in the use of marginal donor heart, and to explore the principle of use and risk control of marginal donor heart.Methods:A total of 31 patients with end-stage heart disease underwent orthotopic heart transplantation in our center from January 2018 to December 2018, including 28 cases of pure heart transplantation, 2 cases of combined heart-lung transplantation, and 1 case of combined heart-kidney transplantation. 26 of the 31 cases were marginal donor hearts. These patients were all anastomosed by a double lumen method.Results:The rates of postoperative use of ECMO, IABP and acute rejection were zero in this study. The time of cardiopulmonary bypass in the marginal donor group was significantly longer compared with the conventional donor group( P<0.05), but there was no significant difference between the two groups in terms of hospitalization time, mechanical ventilation time, ICU stay time, abnormal rate of ECG, LVEF and blood biochemical indexes(all P>0.05). The postoperative follow-up rate was 100% in the two groups. One case of combined heart-lung transplantation in the marginal donor group died of multiple organ failure in the first month after surgery. During the postoperative follow-up period, the incidence of moderate to severe tricuspid regurgitation and the incidence of recurrent heart failure were zero in the two groups. There was no significant difference in the incidence of arrhythmia, LVEF, infection and blood biochemical parameters. Conclusion:The application of marginal donor heart has no significant effect on the short-term survival rate and recovery of patients after heart transplantation, but the long-term effect needs further follow-up.