Objective:To study the risk factors of thyroid nodules in patients with type 2 diabetes.Methods:Data of patients with type 2 diabetes with normal thyroid function admitted to the Department of Endocrinology of Heze Municipal Hospital from January to June 2024 were collected. Binary logistic regression was used to analyze the influencing factors of thyroid nodules in patients with type 2 diabetes, and the receiver operating characteristic curve (ROC curve) was used to evaluate the diagnostic efficacy of each influencing factor.Results:Among 162 patients with type 2 diabetes, 96 had thyroid nodules, accounting for 59.3%. The incidence of thyroid nodules in women was significantly higher than that in men (χ 2 = 4.56, P = 0.034). Multivariate logistic regression analysis showed that age (≥50 years old), overweight and obesity [body mass index (BMI)≥24.0 kg/m 2], high glycated hemoglobin (≥10%), and high total cholesterol ( > 6.5 mmol/L) were independent risk factors for thyroid nodules in patients with type 2 diabetes ( OR = 1.83, 1.67, 1.08, 3.65, P < 0.05), and men was an independent protective factor ( OR = 0.63, P = 0.039). The ROC curve results showed that total cholesterol and total cholesterol combined with glycated hemoglobin could distinguish patients with thyroid nodules from those without thyroid nodules, with AUC = 0.64 and 0.68, respectively, and the differences were statistically significant ( P < 0.05). Conclusions:The incidence of thyroid nodules in patients with type 2 diabetes is relatively high. Age, overweight and obesity, high glycated hemoglobin, and high total cholesterol are independent risk factors for thyroid nodules in patients with type 2 diabetes, and total cholesterol has the ability to distinguish patients with thyroid nodules.

Objective:To study the risk factors of thyroid nodules in patients with type 2 diabetes.Methods:Data of patients with type 2 diabetes with normal thyroid function admitted to the Department of Endocrinology of Heze Municipal Hospital from January to June 2024 were collected. Binary logistic regression was used to analyze the influencing factors of thyroid nodules in patients with type 2 diabetes, and the receiver operating characteristic curve (ROC curve) was used to evaluate the diagnostic efficacy of each influencing factor.Results:Among 162 patients with type 2 diabetes, 96 had thyroid nodules, accounting for 59.3%. The incidence of thyroid nodules in women was significantly higher than that in men (χ 2 = 4.56, P = 0.034). Multivariate logistic regression analysis showed that age (≥50 years old), overweight and obesity [body mass index (BMI)≥24.0 kg/m 2], high glycated hemoglobin (≥10%), and high total cholesterol ( > 6.5 mmol/L) were independent risk factors for thyroid nodules in patients with type 2 diabetes ( OR = 1.83, 1.67, 1.08, 3.65, P < 0.05), and men was an independent protective factor ( OR = 0.63, P = 0.039). The ROC curve results showed that total cholesterol and total cholesterol combined with glycated hemoglobin could distinguish patients with thyroid nodules from those without thyroid nodules, with AUC = 0.64 and 0.68, respectively, and the differences were statistically significant ( P < 0.05). Conclusions:The incidence of thyroid nodules in patients with type 2 diabetes is relatively high. Age, overweight and obesity, high glycated hemoglobin, and high total cholesterol are independent risk factors for thyroid nodules in patients with type 2 diabetes, and total cholesterol has the ability to distinguish patients with thyroid nodules.

Objective:To investigate the nutritional status of rectal cancer patients with permanent enterostomy.Methods:From January 2019 to May 2021, the convenient sampling was used to select 180 rectal cancer patients with permanent enterostomy who were reexamined in the Outpatient Department of the First Affiliated Hospital with Nanjing Medical University as the research objects. The general information questionnaire, Patient Generated-Subjective Global Assessment (PG-SGA) and Chinese version of Ostomates' Adjustment Inventory-20 (OAI-20) were used for investigation. Pearson correlation analysis was used to explore the correlation between nutritional status and stoma adaptation level. A total of 180 questionnaires were distributed and 173 valid questionnaires were recovered, with an effective recovery rate of 96.11%.Results:The total score of PG-SGA and OAI-20 were respectively (7.85±3.23) and (41.89±2.48) among 173 rectal cancer patients with permanent enterostomy and 138 patients were malnourished and 35 patients were well nourished. There were statistically significant differences in age, stoma complications, history of chemotherapy and stoma adaptation between the malnutrition group and the well-nutrition group ( P<0.05) . Pearson correlation analysis showed that the total score of OAI-20 was negatively correlated with the total score of PG-SGA in rectal cancer patients with permanent enterostomy ( r=-0.723, P<0.01) . Conclusions:The nutritional status of rectal cancer patients with permanent enterostomy is poor, and the nutritional status is related to the level of stoma adaptation.

Objective:To explore the clinical outcome of measured resection combined with gap balancing technique in total knee arthroplasty (TKA).Methods:From January 2016 to October 2017, 61 cases of varus knee joint flexion deformity were applied the procedure of measured resection combined with gap balancing technique in primary total knee arthroplasty, including 24 male and 37 female; the average age was 66.80±8.2 years old (range from 60 to 78 years old). All patients underwent antero-medial incision of knee joint,medial parapatellar approach and posterior stabilized prosthesis. Measurement osteotomy technique was used to localize osteotomy. Gap balancing technique was vitrificated flexion and extension. Operation time, surgical blood loss and osteotomy volume were recorded. Radiographic evaluation included alignment of lower extremity, knee joint linedistance, tibiofemoral joint angle, rotation angle of femoral prothesis and posterior condylar offset (PCO). Joint functions were assessed including KSS scores, ROM and patient satisfaction.Results:The average operation time was 54±12 min (range from 45 to 65 min). The average postoperative drainage was 140±26 ml (range from 120 to 180 ml). The difference in hemoglobin values were 22±8.5 g/L(range from 20 to 30 g/L) between preoperative and postoperative 5 days. The lateral proximal tibial bone mass was 10.2±1.5 mm (range from 9.2 to 11.5 mm). The lateral distal femoral bone mass was 9.1±1.5 mm (range from 8.8 to 10 mm). The bone mass of posterior lateral condyle of femur was 8.6±1.5 mm (range from 7.8 to 10 mm). The bone mass of posterior medial condyle of femur was 9.2±1.2 mm (range from 8.6 to 10 mm), compared with the bone mass of posterior lateral condyle of femur, and the difference was statistically significant ( t=2.44, P=0.006). The intraoperative angle between osteotomy line of gap balanced osteotomy technique (line B) and connecting line of screw hole in measure osteotomy (line A) was 1.15°±0.47° (range from 1.02° to 2°). The external rotation angle was27.8%, the internal rotation angle was72.2%. There was no significant difference between preoperative knee joint line distance 40.55±4.32 mm and postoperative knee prosthesis joint line distance 40.99±3.86 mm. Postoperative knee straight and bent-knee 90° stress X-ray demonstrated that medial-lateral tibiofemoral joint angle showed no significant difference ( P >0.05). Cross-sectional CT of knee joint post operation, rotation angle of femoral prosthesis ≤±2°. Most of them were mainly concentrated in the internal rotation angle. There was no significant difference between preoperative PCO 31.55±3.18 mm and postoperative PCO 31.55±3.18 mm ( P>0.05). The KSS score and patient satisfaction score post operationwere significantly higher than those preoperation. The KSS score and patient satisfaction score at 3 months after operation were 89.2±9.4 points and 7.2±2.6 points, which were higher than that at 1 month after operation (78.0±3.5 points and 5.2±1.8 points), with statistically significant differences ( t=1.897, P=0.026; t=1.753, P=0.038). The KSS score was above 90 at 6 months after operation. The knee ROM after 1 month (94.7°±10.6°) had no statistical significance compared with that preoperation (91.9°±12.5°) ( t=1.286, P=0.245). The knee ROM at 3 months after surgery (105.8°±14.7°) was significantly higher than that before operation (91.9°±12.5°) ( t=1.924, P=0.041). There was no significant difference between the scores of the follow-up time points and those of 3 months after operation ( P >0.05). Conclusion:TKA were performed by using measured resection combined with gap balancing technique. Not only can good alignment of lower extremity be restored, but also flexion-extension gap balance can be obtained. Equal osteotomy with less soft tissue release. There are better ROM of knee and KSS functional scores in the early postoperative period. However, it is easy to cause femoral pseudointernal rotation.

Objective:To analyze the survival time and to explore the releated factors of antiretroviral therapy among HIV/AIDS patients in LiangShan Prefecture, Sichuan Province for reduction of AIDS death rate.Methods:The retrospective research method was used to collect relevant information from the Management Database of Antiviral Treatment from the National AIDS Comprehensive Prevention Information System. The Kaplan-Meier method was used to describe the survival distribution and to analyze the survival time by single factor and the model of Cox proportional riskanalysis was performed to analyze the survival time of HARRT by multi-factors analysis.Results:Total 14 219 adults and young persons aged ≥15 HIV/AIDS patients received antiviral treatment from 2005 to 2015. The average age of all cases was (36.10±9.41) years old and 10 021 were males (70.5%). The main route of infection was intravenous drug use (61.0%, 8 678 cases). At the end of the observation, 10001 cases (70.3%) were still treated, and 1 425 cases (10.0%) died; Cox Regression analysis showed that female (0.67 (0.55-0.81)), route of sexual infection (0.67 (0.56-0.79)), baseline CD4 +T lymphocyte count 200-350 (0.41 (0.35-0.47)) and ≥350 (0.28 (0.24-0.34)), was a protective factor in death. At the beginning of treatment, the patient is clinically staging stage Ⅱ (0.70 (0.58-0.84)) and abnormal BMI (1.75 (1.50-2.03)), is a risk factor for death ( P<0.05). Conclusion:Early antiviral treatment is of great significance in improving the anti-viral treatment effect of AIDS. Compliance education should be further strengthened so as to enhance their knowledge. And it is feasible to enhance the effect of treatment through nutritional support for prolonging patients survival time and improving the quality of life.

Objective:To analyze the survival time and to explore the releated factors of antiretroviral therapy among HIV/AIDS patients in LiangShan Prefecture, Sichuan Province for reduction of AIDS death rate.Methods:The retrospective research method was used to collect relevant information from the Management Database of Antiviral Treatment from the National AIDS Comprehensive Prevention Information System. The Kaplan-Meier method was used to describe the survival distribution and to analyze the survival time by single factor and the model of Cox proportional riskanalysis was performed to analyze the survival time of HARRT by multi-factors analysis.Results:Total 14 219 adults and young persons aged ≥15 HIV/AIDS patients received antiviral treatment from 2005 to 2015. The average age of all cases was (36.10±9.41) years old and 10 021 were males (70.5%). The main route of infection was intravenous drug use (61.0%, 8 678 cases). At the end of the observation, 10001 cases (70.3%) were still treated, and 1 425 cases (10.0%) died; Cox Regression analysis showed that female (0.67 (0.55-0.81)), route of sexual infection (0.67 (0.56-0.79)), baseline CD4 +T lymphocyte count 200-350 (0.41 (0.35-0.47)) and ≥350 (0.28 (0.24-0.34)), was a protective factor in death. At the beginning of treatment, the patient is clinically staging stage Ⅱ (0.70 (0.58-0.84)) and abnormal BMI (1.75 (1.50-2.03)), is a risk factor for death ( P<0.05). Conclusion:Early antiviral treatment is of great significance in improving the anti-viral treatment effect of AIDS. Compliance education should be further strengthened so as to enhance their knowledge. And it is feasible to enhance the effect of treatment through nutritional support for prolonging patients survival time and improving the quality of life.

Objective: To investigate the risk factors of anastomotic leakage (AL) after laparoscopic surgery in rectal cancer patient with neoadjuvant therapy and construct a nomogram prediction model. Methods: This study was a retrospective case-control study that collected and reviewed the clinicopathological data of 359 patients who underwent laparoscopic surgery from January 2012 to January 2018, including 202 patients from the Department of General Surgery, Nanfang Hospital of Southern Medical University and 157 patients from the Department of Gastrointestinal Surgery of Fujian Provincial Cancer Hospital. Inclusion criteria: (1) age ≥ 18 years old; (2) diagnosis as rectal cancer by biopsy before treatment; (3) distance from tumor to anus within 12 cm; (4) locally advanced stage (T3-T4 or N+) diagnosed by imaging (CT, MRI, PET or ultrasound); (5) standardized neoadjuvant therapy followed by laparoscopic radical operation. Exclusion criteria: (1) previous history of colorectal cancer surgery; (2) short-term or incomplete standardized neoadjuvant therapy; (3) Miles, Hartmann, emergency surgery, palliative resection; (4) conversion to open surgery. Clinicopathological data, including age, gender, body mass index (BMI), preoperative albumin, distance from tumor to anus, operation hospital, American Society of Anesthesiologists score (ASA score), operation time, T stage, N stage, M stage, TNM stage, pathological complete response (pCR) were analyzed with univariate analysis to identify predictors for AL after laparoscopic surgery in rectal cancer patient with neoadjuvant therapy. Then, incorporated predictors of AL, which were screened by multivariate logistic regression, were plotted by the "rms" package in R software to establish a nomogram model. According to the scale of the nomogram of each risk factor, the total score could be obtained by adding each single score, then the corresponding probability of postoperative AL could be acquired. The area under ROC curve (AUC) was used to evaluate the predictive ability of each risk factor and nomogram on model. AUC > 0.75 indicated that the model had good predictive ability. The Bootstrap method (1000 bootstrapping resamples) was applied as internal verification to show the robustness of the model. The discrimination of the nomogram was determined by calculating the average consistency index (C-index) whose rage was 0.5 to 1.0. Higher C-index indicated better consistency with actual risk. The calibration curve was used to assess the calibration of prediction model. The Hosmer-Lemeshow test yielding a non-significant statistic (P>0.05) suggested no departure from the perfect fit. Results: Of 359 cases, 224 were male, 135 were female, 189 were ≥ 55 years old, 98 had a BMI > 24 kg/m², 176 had preoperative albumin ≤ 40 g/L, 128 had distance from tumor to anus ≤ 5 cm, 257 were TNM 0-II stage, 102 were TNM III-IV stage, and 84 achieved pCR after neoadjuvant therapy. The incidence of postoperative AL was 9.5% (34/359). Univariate analysis showed that gender, preoperative albumin and distance from tumor to the anus were associated with postoperative AL (All P<0.05). Multivariate logistic regression analysis revealed that male (OR=2.480, 95% CI: 1.012-6.077, P=0.047), preoperative albumin ≤40 g/L (OR=5.319, 95% CI: 2.106-13.433, P<0.001) and distance from tumor to anus ≤ 5 cm (OR=4.339, 95% CI: 1.990-9.458, P<0.001) were significant independent risk factors for postoperative AL. According to these results, a nomogram prediction model was constructed. The male was for 55 points, the preoperative albumin ≤ 40 g/L was for 100 points, and the distance from tumor to the anus ≤ 5 cm was for 88 points. Adding all the points of each risk factor, the corresponding probability of total score would indicated the morbidity of postoperative AL predicted by this nomogram modal. The AUC of the nomogram was 0.792 (95% CI: 0.729-0.856), and the C-index was 0.792 after internal verification. The calibration curve showed that the predictive results were well correlated with the actual results (P=0.562). Conclusions Male, preoperative albumin ≤ 40 g/L and distance from tumor to the anus ≤ 5 cm are independent risk factors for AL after laparoscopic surgery in rectal cancer patient with neoadjuvant therapy. The nomogram prediction model is helpful to predict the probability of AL after surgery.

Objective To investigate the risk factors of anastomotic leakage (AL) after laparoscopic surgery in rectal cancer patient with neoadjuvant therapy and construct a nomogram prediction model. Methods This study was a retrospective case?control study that collected and reviewed the clinicopathological data of 359 patients who underwent laparoscopic surgery from January 2012 to January 2018, including 202 patients from the Department of General Surgery, Nanfang Hospital of Southern Medical University and 157 patients from the Department of Gastrointestinal Surgery of Fujian Provincial Cancer Hospital. Inclusion criteria: (1) age ≥ 18 years old; (2) diagnosis as rectal cancer by biopsy before treatment; (3) distance from tumor to anus within 12 cm; (4) locally advanced stage (T3?T4 or N+) diagnosed by imaging (CT, MRI, PET or ultrasound); (5) standardized neoadjuvant therapy followed by laparoscopic radical operation. Exclusion criteria: (1) previous history of colorectal cancer surgery; (2) short?term or incomplete standardized neoadjuvant therapy; (3) Miles, Hartmann, emergency surgery, palliative resection; (4) conversion to open surgery. Clinicopathological data, including age, gender, body mass index (BMI), preoperative albumin, distance from tumor to anus, operation hospital, American Society of Anesthesiologists score (ASA score), operation time, T stage, N stage, M stage, TNM stage, pathological complete response (pCR) were analyzed with univariate analysis to identify predictors for AL after laparoscopic surgery in rectal cancer patient with neoadjuvant therapy. Then, incorporated predictors of AL, which were screened by multivariate logistic regression, were plotted by the "rms" package in R software to establish a nomogram model. According to the scale of the nomogram of each risk factor, the total score could be obtained by adding each single score, then the corresponding probability of postoperative AL could be acquired. The area under ROC curve (AUC) was used to evaluate the predictive ability of each risk factor and nomogram on model. AUC > 0.75 indicated that the model had good predictive ability. The Bootstrap method (1000 bootstrapping resamples) was applied as internal verification to show the robustness of the model. The discrimination of the nomogram was determined by calculating the average consistency index (C?index) whose rage was 0.5 to 1.0. Higher C?index indicated better consistency with actual risk. The calibration curve was used to assess the calibration of prediction model. The Hosmer?Lemeshow test yielding a non?significant statistic (P>0.05) suggested no departure from the perfect fit. Results Of 359 cases, 224 were male, 135 were female, 189 were ≥ 55 years old, 98 had a BMI > 24 kg/m2, 176 had preoperative albumin ≤ 40 g/L, 128 had distance from tumor to anus ≤ 5 cm, 257 were TNM 0?II stage, 102 were TNM III?IV stage, and 84 achieved pCR after neoadjuvant therapy. The incidence of postoperative AL was 9.5% (34/359). Univariate analysis showed that gender, preoperative albumin and distance from tumor to the anus were associated with postoperative AL (All P<0.05). Multivariate logistic regression analysis revealed that male (OR=2.480, 95% CI: 1.012?6.077, P=0.047), preoperative albumin≤40 g/L (OR=5.319, 95% CI: 2.106?13.433, P<0.001) and distance from tumor to anus≤5 cm (OR=4.339, 95% CI: 1.990?9.458, P<0.001) were significant independent risk factors for postoperative AL. According to these results, a nomogram prediction model was constructed. The male was for 55 points, the preoperative albumin≤40 g/L was for 100 points, and the distance from tumor to the anus ≤ 5 cm was for 88 points. Adding all the points of each risk factor, the corresponding probability of total score would indicated the morbidity of postoperative AL predicted by this nomogram modal. The AUC of the nomogram was 0.792 (95% CI: 0.729?0.856), and the C?index was 0.792 after internal verification. The calibration curve showed that the predictive results were well correlated with the actual results (P=0.562). Conclusions Male, preoperative albumin ≤ 40 g/L and distance from tumor to the anus≤5 cm are independent risk factors for AL after laparoscopic surgery in rectal cancer patient with neoadjuvant therapy. The nomogram prediction model is helpful to predict the probability of AL after surgery.

Objective To investigate the risk factors of anastomotic leakage (AL) after laparoscopic surgery in rectal cancer patient with neoadjuvant therapy and construct a nomogram prediction model. Methods This study was a retrospective case?control study that collected and reviewed the clinicopathological data of 359 patients who underwent laparoscopic surgery from January 2012 to January 2018, including 202 patients from the Department of General Surgery, Nanfang Hospital of Southern Medical University and 157 patients from the Department of Gastrointestinal Surgery of Fujian Provincial Cancer Hospital. Inclusion criteria: (1) age ≥ 18 years old; (2) diagnosis as rectal cancer by biopsy before treatment; (3) distance from tumor to anus within 12 cm; (4) locally advanced stage (T3?T4 or N+) diagnosed by imaging (CT, MRI, PET or ultrasound); (5) standardized neoadjuvant therapy followed by laparoscopic radical operation. Exclusion criteria: (1) previous history of colorectal cancer surgery; (2) short?term or incomplete standardized neoadjuvant therapy; (3) Miles, Hartmann, emergency surgery, palliative resection; (4) conversion to open surgery. Clinicopathological data, including age, gender, body mass index (BMI), preoperative albumin, distance from tumor to anus, operation hospital, American Society of Anesthesiologists score (ASA score), operation time, T stage, N stage, M stage, TNM stage, pathological complete response (pCR) were analyzed with univariate analysis to identify predictors for AL after laparoscopic surgery in rectal cancer patient with neoadjuvant therapy. Then, incorporated predictors of AL, which were screened by multivariate logistic regression, were plotted by the "rms" package in R software to establish a nomogram model. According to the scale of the nomogram of each risk factor, the total score could be obtained by adding each single score, then the corresponding probability of postoperative AL could be acquired. The area under ROC curve (AUC) was used to evaluate the predictive ability of each risk factor and nomogram on model. AUC > 0.75 indicated that the model had good predictive ability. The Bootstrap method (1000 bootstrapping resamples) was applied as internal verification to show the robustness of the model. The discrimination of the nomogram was determined by calculating the average consistency index (C?index) whose rage was 0.5 to 1.0. Higher C?index indicated better consistency with actual risk. The calibration curve was used to assess the calibration of prediction model. The Hosmer?Lemeshow test yielding a non?significant statistic (P>0.05) suggested no departure from the perfect fit. Results Of 359 cases, 224 were male, 135 were female, 189 were ≥ 55 years old, 98 had a BMI > 24 kg/m2, 176 had preoperative albumin ≤ 40 g/L, 128 had distance from tumor to anus ≤ 5 cm, 257 were TNM 0?II stage, 102 were TNM III?IV stage, and 84 achieved pCR after neoadjuvant therapy. The incidence of postoperative AL was 9.5% (34/359). Univariate analysis showed that gender, preoperative albumin and distance from tumor to the anus were associated with postoperative AL (All P<0.05). Multivariate logistic regression analysis revealed that male (OR=2.480, 95% CI: 1.012?6.077, P=0.047), preoperative albumin≤40 g/L (OR=5.319, 95% CI: 2.106?13.433, P<0.001) and distance from tumor to anus≤5 cm (OR=4.339, 95% CI: 1.990?9.458, P<0.001) were significant independent risk factors for postoperative AL. According to these results, a nomogram prediction model was constructed. The male was for 55 points, the preoperative albumin≤40 g/L was for 100 points, and the distance from tumor to the anus ≤ 5 cm was for 88 points. Adding all the points of each risk factor, the corresponding probability of total score would indicated the morbidity of postoperative AL predicted by this nomogram modal. The AUC of the nomogram was 0.792 (95% CI: 0.729?0.856), and the C?index was 0.792 after internal verification. The calibration curve showed that the predictive results were well correlated with the actual results (P=0.562). Conclusions Male, preoperative albumin ≤ 40 g/L and distance from tumor to the anus≤5 cm are independent risk factors for AL after laparoscopic surgery in rectal cancer patient with neoadjuvant therapy. The nomogram prediction model is helpful to predict the probability of AL after surgery.