Objective:To construct and validate a predictive model for postoperative pulmonary complications (PPCs) in patients undergoing robot-assisted laparoscopic urological surgery.Methods:This retrospective study included the medical records of 932 patients who underwent robot-assisted laparoscopic urological surgery at the First Affiliated Hospital of Zhejiang University School of Medicine from January 2020 to February 2022. The patients were divided into a training group ( n=559) and a validation group ( n=373) at a 6∶4 ratio. Logistic regression analysis was used to determine the independent risk factors for PPCs, and a nomogram prediction model was constructed based on these factors. The performance of the model was evaluated using the receiver operating characteristic curve and calibration curve, and the clinical benefit was assessed using the clinical decision curve analysis. Results:The independent risk factors for PPCs included advanced age (>60 yr), smoking history, respiratory tract infection within 1 month, preoperative low SpO 2 (<96%), and prolonged length of postoperative hospital stay ( P<0.05), and the body mass index (18.5-<28.0 kg/m 2) was a protective factor. The nomogram prediction model developed based on the aforementioned 6 influencing factors had an area under the receiver operating characteristic curve of 0.81 (95% confidence interval 0.76-0.86) in training group and 0.80 (95% confidence interval 0.75-0.86) in validation group. The calibration curve indicated a good consistency between the predicted and actual occurrence curves, and the clinical decision curve analysis showed good accuracy and net benefit of the prediction model. Conclusions:The predictive model for PPCs is successfully constructed based on age, low body mass index, smoking history, history of respiratory tract infection within 1 month, preoperative low SpO 2 and prolonged length of postoperative hospital stay and has good predictive performance in patients undergoing robot-assisted laparoscopic urological surgery.

Objective:To construct and validate a predictive model for postoperative pulmonary complications (PPCs) in patients undergoing robot-assisted laparoscopic urological surgery.Methods:This retrospective study included the medical records of 932 patients who underwent robot-assisted laparoscopic urological surgery at the First Affiliated Hospital of Zhejiang University School of Medicine from January 2020 to February 2022. The patients were divided into a training group ( n=559) and a validation group ( n=373) at a 6∶4 ratio. Logistic regression analysis was used to determine the independent risk factors for PPCs, and a nomogram prediction model was constructed based on these factors. The performance of the model was evaluated using the receiver operating characteristic curve and calibration curve, and the clinical benefit was assessed using the clinical decision curve analysis. Results:The independent risk factors for PPCs included advanced age (>60 yr), smoking history, respiratory tract infection within 1 month, preoperative low SpO 2 (<96%), and prolonged length of postoperative hospital stay ( P<0.05), and the body mass index (18.5-<28.0 kg/m 2) was a protective factor. The nomogram prediction model developed based on the aforementioned 6 influencing factors had an area under the receiver operating characteristic curve of 0.81 (95% confidence interval 0.76-0.86) in training group and 0.80 (95% confidence interval 0.75-0.86) in validation group. The calibration curve indicated a good consistency between the predicted and actual occurrence curves, and the clinical decision curve analysis showed good accuracy and net benefit of the prediction model. Conclusions:The predictive model for PPCs is successfully constructed based on age, low body mass index, smoking history, history of respiratory tract infection within 1 month, preoperative low SpO 2 and prolonged length of postoperative hospital stay and has good predictive performance in patients undergoing robot-assisted laparoscopic urological surgery.

Congenital median cleft lip caused by all kinds of reasons is the most basic presentation of facial median cleft. Although a wide array of options is available, the technique employed will largely depend on the surgeon preference and experience, and lack of uniform standards. The basic surgical treatments of midline cleft lip and nose deformities include exposure of abnormal anatomy, repair soft tissue and skin, anatomic approximation of cartilaginous elements, orbicularis oris muscle repair and craniofacial osteotomy. However, there is still no common classification system to stratify the wide variations of midline cleft lip and nasal deformity, which is important to formulate specific surgical method for different types. This article summarized various classifications, recommended to use the Kolker’s classification by which the treatment options were summarized and proposed research prospects to provide ideas for further study.

Objective:To explore the therapeutic efficacy and factors influencing the sequential combination of nucleos(t)ide analogues (NAs) with pegylated interferon alpha (Peg-IFN-α) in the treatment of patients with chronic hepatitis B (CHB).Methods:144 CHB cases with NAs treatment for more than 1 year, HBV DNA < 20 IU/ml, hepatitis B surface antigen (HBsAg) quantification < 3 000 IU/ml, treated with a sequential combination of Peg-IFN-α treatment for 48 to 96 weeks, and followed up were selected from the Fifth Medical Center of the PLA General Hospital between May 2018 and May 2020. Intention-to-treat analysis was used to measure the HBsAg clearance rate at 96 weeks. The Kaplan-Meier method was used to compute the cumulative HBsAg clearance rate at 96 weeks. Univariate and multivariate logistic regression were used to analyze the factors influencing HBsAg clearance at 48 weeks of sequential combination therapy. Univariate and multifactorial COX proportional hazard models were used to analyze the factors influencing HBsAg clearance following 96 weeks of prolonged PEG-IFN-α treatment. The receiver operating characteristic curve was used to assess the predictive value of factors influencing HBsAg clearance. A Mann-Whitney U test was used to compare the measurement data between groups. The count data was compared using the χ2 test between groups. Results:41 (28.47%) cases achieved HBsAg clearance at 48 weeks of sequential combination therapy. The HBsAg clearance rate at 96 weeks was 40.28% (58/144) by intention-to-treat analysis. The Kaplan-Meier method computed that the cumulative HBsAg clearance rate at 96 weeks was 68.90%. Multivariate logistic regression analysis showed that HBsAg quantification at baseline ( OR = 0.090, 95% CI: 0.034-0.240, P < 0.001) and a 24-week drop in HBsAg level ( OR = 7.788, 95% CI: 3.408-17.798, P < 0.001) were independent predictors of HBsAg clearance in CHB patients treated sequentially in combination with NAs and Peg-IFN-α for 48 weeks. Receiver operating characteristic curve analysis showed that the baseline HBsAg quantification [area under the receiver operating characteristic curve (AUC), 0.911, 95% CI: 0.852-0.952)] and 24-week drop in HBsAg level (AUC = 0.881, 95% CI: 0.814-0.930) had equally good predictive value for 48-week HBsAg clearance, but there was no statistically significant difference between the two ( Z = 0.638, P = 0.523). The value of the combination of baseline HBsAg quantification and 24-week drop in HBsAg level (AUC = 0.981, 95% CI: 0.941-0.997) was superior to that of single baseline HBsAg quantification ( Z = 3.017, P = 0.003) and 24-week drop in HBsAg level ( Z = 3.214, P = 0.001) in predicting HBsAg clearance rate at 48 weeks. Multivariate COX proportional hazards model analysis showed that HBsAg quantification at 48 weeks ( HR = 0.364, 95% CI: 0.176-0.752, P = 0.006) was an independent predictor of HBsAg clearance with a prolonged course to 96 weeks of Peg-IFN-α treatment. Conclusion:The HBsAg clearance rate can be accurately predicted with baseline HBsAg quantification combined with a 24-week drop in HBsAg level in patients with CHB who are treated with a sequential combination of NAs and Peg-IFN-α therapy for 48 weeks. Prolonging the course of Peg-IFN-α treatment can enhance the HBsAg clearance rate's capability. An independent predictor of HBsAg clearance is HBsAg quantification at 48 weeks of sequential combination therapy with a prolonged course of 96 weeks of Peg-IFN-α treatment.

The treatment of hepatobiliary malignant tumor is characterized by the coexistence of multiple treatment methods and multiple disciplines. In order to evaluate the clinical efficacy of different treatment measures or multiple treatment combinations, and to promote the standardized development of comprehensive treatment patterns for hepatobiliary malignant tumor, the Hepatobiliary Center of the First Affiliated Hospital of Nanjing Medical University constructs the registry and follow-up database in hepatobiliary tumor patients based on the information-based platform of the hospital, which will help guide clinicians to make scientific decisions and improve the level of clinical diagnosis and treatment. This study describes the framework design, function modules, data acquisition process and quality control of the database of hepatobiliary malignant tumor. Based on the observational bidirectional cohort study design, the previous clinical data can be sorted to match the current database, on the other hand, the clinical data can be prospectively collected including basic information, admission evaluation, surgical information and postoperative situation, comprehensive treatment measures, regular reexaminations and long-term follow-up, etc. The data quality control system can be improved by formulating standardized operation procedures, regularly personnel training and full-process data management plans. This database will provide high-quality real-world data for clinicians, researchers, and guideline experts, and then provide high-level medical evidence for the standardized development of comprehensive treatment patterns of hepatobiliary malignancies.

Objective:To systematically review the severe risk in common chronic diseases and coronavirus disease 2019 (COVID-19) cases.Methods:PubMed, Embase, Cochrane Library, China National Knowledge Infrastructure, Wanfang Database, China Biology Medicine disc, medRxiv, SSRN and ChinaXiv were searched for clinical and epidemiological studies that reported chronic diseases in patients with COVID-19. Only studies of severe COVID-19 in comparison with non-severe controls were included. The prevalence rates of chronic diseases including chronic obstructive pulmonary disease (COPD), diabetes mellitus, hypertension, malignant tumor, cardiovascular diseases, cerebrovascular disease, chronic kidney disease, and chronic liver disease were estimated. Pooled odds ratio ( OR) with 95% confidence interval ( CI) between patients with severe COVID-19 and non-severe groups were calculated. R 3.6.3 software was used for meta-analysis. Results:The search yielded 2 455 articles. A total of 19 eligible comparative studies with 4 792 patients were included in a quantitative analysis. Meta-analysis showed that there was a proportion of 55.0% (95% CI 40.0%-80.0%) male among patients with COVID-19, and the overall pooled prevalence of any chronic diseases in COVID-19 cases was 30.4% (95% CI 24.0%-37.0%). The most prevalent comorbidity was hypertension (16.9%(95% CI 14.0%-20.0%)), followed by diabetes mellitus (8.3%(95% CI 8.0%-9.0%)). The proportion of male patients with severe COVID-19 was higher than that of male patients with non-severe COVID-19 (64.4% vs 52.8%, OR=1.49, 95% CI 1.08-2.05, Z=4.63, P<0.01). The prevalence rates of COPD, cerebrovascular disease, diabetes mellitus, chronic kidney disease, hypertension, cardiovascular diseases and malignant tumor in severe COVID-19 patients were higher than those of non-severe patients ( OR=5.77, 95% CI 3.80-8.74; OR=4.47, 95% CI 2.71-7.38; OR=3.55, 95% CI 2.86-4.40; OR=3.05, 95% CI=1.76-5.28; OR=2.82, 95% CI=1.96-3.97; OR=2.39, 95% CI=1.77-3.23; OR=2.15, 95% CI 1.27-3.66, respectively, Z=8.37, 6.01, 11.60, 4.20, 5.46, 5.71, 3.12, all P<0.01). There was no significant difference in the prevalence of chronic liver disease between severe and non-severe patients ( OR=1.35, 95% CI 0.84-2.17, P=0.11). Conclusion:COVID-19 patients with chronic diseases have higher risk of developing severe disease, and the ORs from high to low are COPD, cerebrovascular disease, diabetes mellitus, chronic kidney disease, hypertension, cardiovascular diseases and malignant tumor.

Congenital median cleft lip caused by all kinds of reasons is the most basic presentation of facial median cleft. Although a wide array of options is available, the technique employed will largely depend on the surgeon preference and experience, and lack of uniform standards. The basic surgical treatments of midline cleft lip and nose deformities include exposure of abnormal anatomy, repair soft tissue and skin, anatomic approximation of cartilaginous elements, orbicularis oris muscle repair and craniofacial osteotomy. In addition, there still doesn’ t have a common classification system to stratify the wide variations of midline cleft lip and nasal deformity, which is important to formulate specific surgical method for different types. This article summarized various classifications, recommended to use the Kolker' s classification by which the treatment options were summarized and proposed research prospects to provide ideas for further study.

Congenital median cleft lip caused by all kinds of reasons is the most basic presentation of facial median cleft. Although a wide array of options is available, the technique employed will largely depend on the surgeon preference and experience, and lack of uniform standards. The basic surgical treatments of midline cleft lip and nose deformities include exposure of abnormal anatomy, repair soft tissue and skin, anatomic approximation of cartilaginous elements, orbicularis oris muscle repair and craniofacial osteotomy. In addition, there still doesn’ t have a common classification system to stratify the wide variations of midline cleft lip and nasal deformity, which is important to formulate specific surgical method for different types. This article summarized various classifications, recommended to use the Kolker' s classification by which the treatment options were summarized and proposed research prospects to provide ideas for further study.

Congenital median cleft lip caused by all kinds of reasons is the most basic presentation of facial median cleft. Although a wide array of options is available, the technique employed will largely depend on the surgeon preference and experience, and lack of uniform standards. The basic surgical treatments of midline cleft lip and nose deformities include exposure of abnormal anatomy, repair soft tissue and skin, anatomic approximation of cartilaginous elements, orbicularis oris muscle repair and craniofacial osteotomy. In addition, there still doesn’ t have a common classification system to stratify the wide variations of midline cleft lip and nasal deformity, which is important to formulate specific surgical method for different types. This article summarized various classifications, recommended to use the Kolker' s classification by which the treatment options were summarized and proposed research prospects to provide ideas for further study.

Congenital median cleft lip caused by all kinds of reasons is the most basic presentation of facial median cleft. Although a wide array of options is available, the technique employed will largely depend on the surgeon preference and experience, and lack of uniform standards. The basic surgical treatments of midline cleft lip and nose deformities include exposure of abnormal anatomy, repair soft tissue and skin, anatomic approximation of cartilaginous elements, orbicularis oris muscle repair and craniofacial osteotomy. In addition, there still doesn’ t have a common classification system to stratify the wide variations of midline cleft lip and nasal deformity, which is important to formulate specific surgical method for different types. This article summarized various classifications, recommended to use the Kolker' s classification by which the treatment options were summarized and proposed research prospects to provide ideas for further study.