Intraoperative cell salvage (IOCS) has been widely applied as an important blood conservation measure in surgical operations. However, there is currently a lack of clinical practice guidelines for the implementation of IOCS in patients with malignant tumors. This report aims to provide clinicians with recommendations on the use of IOCS in patients with malignant tumors based on the review and assessment of the existed evidence. Data were derived from databases such as PubMed, Embase, the Cochrane Library and Wanfang. The guideline development team formulated recommendations based on the quality of evidence, balance of benefits and harms, patient preferences, and health economic assessments. This study constructed seven major clinical questions. The main conclusions of this guideline are as follows: 1) Compared with no perioperative allogeneic blood transfusion (NPABT), perioperative allogeneic blood transfusion (PABT) leads to a more unfavorable prognosis in cancer patients (Recommended); 2) Compared with the transfusion of allogeneic blood or no transfusion, IOCS does not lead to a more unfavorable prognosis in cancer patients (Recommended); 3) The implementation of IOCS in cancer patients is economically feasible (Recommended); 4) Leukocyte depletion filters (LDF) should be used when implementing IOCS in cancer patients (Strongly Recommended); 5) Irradiation treatment of autologous blood to be reinfused can be used when implementing IOCS in cancer patients (Recommended); 6) A careful assessment of the condition of cancer patients (meeting indications and excluding contraindications) should be conducted before implementing IOCS (Strongly Recommended); 7) Informed consent from cancer patients should be obtained when implementing IOCS, with a thorough pre-assessment of the patient's condition and the likelihood of blood loss, adherence to standardized internally audited management procedures, meeting corresponding conditions, and obtaining corresponding qualifications (Recommended). In brief, current evidence indicates that IOCS can be implemented for some malignant tumor patients who need allogeneic blood transfusion after physician full evaluation, and LDF or irradiation should be used during the implementation process.

Objective To explore the prediction of hospital indoor microbial concentration in air based on real-time indoor air environment monitoring data and machine learning algorithms.Methods Four locations in a hospital were selected as monitoring sampling points from May 23 to June 5,2022.The"internet of things"sensor was used to monitor a variety of real-time air environment data.Air microbial concentration data collected at each point were matched,and the gradient boosting decision tree(GBDT)was used to predict real-time indoor microbial concentra-tion in air.Five other common machine learning models were selected for comparison,including random forest(RF),decision tree(DT),k-nearest neighbor(KNN),linear regression(LR)and artificial neural network(ANN).The validity of the model was verified by the mean absolute error(MAE),root mean square error(RMSE)and mean absolute percentage error(MAPE).Results The MAPE value of GBDT model in the outpa-tient elevator room(point A),bronchoscopy room(point B),CT waiting area(point C),and nurses'station in the supply room(point D)were 22.49％,36.28％,29.34％,and 26.43％,respectively.The mean performance of the GBDT model was higher than that of other machine learning models at three sampling points and slightly lower than that of the ANN model at only one sampling point.The mean MAPE value of GBDT model at four sampling points was 28.64％,that is,the predicted value deviated from the actual value by 28.64％,indicating that GBDT model has good prediction results and the predicted value was within the available range.Conclusion The GBDT machine learning model based on real-time indoor air environment monitoring data can improve the prediction accuracy of in-door air microbial concentration in hospitals.

Objective:To investigate the diagnostic accuracy of serological indicators and evaluate the diagnostic value of a new established combined serological model on identifying the minimal hepatic encephalopathy (MHE) in patients with compensated cirrhosis.Methods:This prospective multicenter study enrolled 263 compensated cirrhotic patients from 23 hospitals in 15 provinces, autonomous regions and municipalities of China between October 2021 and August 2022. Clinical data and laboratory test results were collected, and the model for end-stage liver disease (MELD) score was calculated. Ammonia level was corrected to the upper limit of normal (AMM-ULN) by the baseline blood ammonia measurements/upper limit of the normal reference value. MHE was diagnosed by combined abnormal number connection test-A and abnormal digit symbol test as suggested by Guidelines on the management of hepatic encephalopathy in cirrhosis. The patients were randomly divided (7∶3) into training set ( n=185) and validation set ( n=78) based on caret package of R language. Logistic regression was used to establish a combined model of MHE diagnosis. The diagnostic performance was evaluated by the area under the curve (AUC) of receiver operating characteristic curve, Hosmer-Lemeshow test and calibration curve. The internal verification was carried out by the Bootstrap method ( n=200). AUC comparisons were achieved using the Delong test. Results:In the training set, prevalence of MHE was 37.8% (70/185). There were statistically significant differences in AMM-ULN, albumin, platelet, alkaline phosphatase, international normalized ratio, MELD score and education between non-MHE group and MHE group (all P<0.05). Multivariate Logistic regression analysis showed that AMM-ULN [odds ratio ( OR)=1.78, 95% confidence interval ( CI) 1.05-3.14, P=0.038] and MELD score ( OR=1.11, 95% CI 1.04-1.20, P=0.002) were independent risk factors for MHE, and the AUC for predicting MHE were 0.663, 0.625, respectively. Compared with the use of blood AMM-ULN and MELD score alone, the AUC of the combined model of AMM-ULN, MELD score and education exhibited better predictive performance in determining the presence of MHE was 0.755, the specificity and sensitivity was 85.2% and 55.7%, respectively. Hosmer-Lemeshow test and calibration curve showed that the model had good calibration ( P=0.733). The AUC for internal validation of the combined model for diagnosing MHE was 0.752. In the validation set, the AUC of the combined model for diagnosing MHE was 0.794, and Hosmer-Lemeshow test showed good calibration ( P=0.841). Conclusion:Use of the combined model including AMM-ULN, MELD score and education could improve the predictive efficiency of MHE among patients with compensated cirrhosis.

Objective: To evaluate the secondary attack rates of the SARS-CoV-2 Omicron variant and the associated factors. Methods: A total of 328 primary cases and 40 146 close contacts of the SARS-CoV-2 Omicron variant routinely detected in local areas of Jiangsu Province from February to April 2022 were selected in this study, and those with positive nucleic acid test results during 7 days of centralized isolation medical observation were defined as secondary cases. The demographic information and clinical characteristics were collected, and the secondary attack rate (SAR) and the associated factors were analyzed by using a multivariate logistic regression model. Results: A total of 1 285 secondary cases of close contacts were reported from 328 primary cases, with a SAR of 3.2% (95%CI: 3.0%-3.4%). Among the 328 primary cases, males accounted for 61.9% (203 cases), with the median age (Q₁, Q₃) of 38.5 (27, 51) years old. Among the 1 285 secondary cases, males accounted for 59.1% (759 cases), with the median age (Q₁, Q₃) of 34 (17, 52) years old. The multivariate logistic regression model showed that the higher SAR was observed in the primary male cases (OR=1.632, 95%CI: 1.418-1.877), younger than 20 years old (OR=1.766, 95%CI: 1.506-2.072),≥60 years old (OR=1.869, 95%CI: 1.476-2.365), infected with the BA.2 strain branch (OR=2.906, 95%CI: 2.388-3.537), the confirmed common cases (OR=2.572, 95%CI: 2.036-3.249), and confirmed mild cases (OR=1.717, 95%CI: 1.486-1.985). Meanwhile, the higher SAR was observed in the close contacts younger than 20 years old (OR=2.604, 95%CI: 2.250-3.015),≥60 years old (OR=1.287, 95%CI: 1.052-1.573) and exposure for co-residence (OR=27.854, 95%CI: 23.470-33.057). Conclusion: The sex and age of the primary case of the Omicron variant, the branch of the infected strain, case severity of the primary case, as well as the age and contact mode of close contacts are the associated factors of SAR.
Humans ; Male ; Middle Aged ; Young Adult ; Adult ; COVID-19/epidemiology* ; Incidence ; SARS-CoV-2 ; Logistic Models

Objective: To evaluate the secondary attack rates of the SARS-CoV-2 Omicron variant and the associated factors. Methods: A total of 328 primary cases and 40 146 close contacts of the SARS-CoV-2 Omicron variant routinely detected in local areas of Jiangsu Province from February to April 2022 were selected in this study, and those with positive nucleic acid test results during 7 days of centralized isolation medical observation were defined as secondary cases. The demographic information and clinical characteristics were collected, and the secondary attack rate (SAR) and the associated factors were analyzed by using a multivariate logistic regression model. Results: A total of 1 285 secondary cases of close contacts were reported from 328 primary cases, with a SAR of 3.2% (95%CI: 3.0%-3.4%). Among the 328 primary cases, males accounted for 61.9% (203 cases), with the median age (Q₁, Q₃) of 38.5 (27, 51) years old. Among the 1 285 secondary cases, males accounted for 59.1% (759 cases), with the median age (Q₁, Q₃) of 34 (17, 52) years old. The multivariate logistic regression model showed that the higher SAR was observed in the primary male cases (OR=1.632, 95%CI: 1.418-1.877), younger than 20 years old (OR=1.766, 95%CI: 1.506-2.072),≥60 years old (OR=1.869, 95%CI: 1.476-2.365), infected with the BA.2 strain branch (OR=2.906, 95%CI: 2.388-3.537), the confirmed common cases (OR=2.572, 95%CI: 2.036-3.249), and confirmed mild cases (OR=1.717, 95%CI: 1.486-1.985). Meanwhile, the higher SAR was observed in the close contacts younger than 20 years old (OR=2.604, 95%CI: 2.250-3.015),≥60 years old (OR=1.287, 95%CI: 1.052-1.573) and exposure for co-residence (OR=27.854, 95%CI: 23.470-33.057). Conclusion: The sex and age of the primary case of the Omicron variant, the branch of the infected strain, case severity of the primary case, as well as the age and contact mode of close contacts are the associated factors of SAR.
Humans ; Male ; Middle Aged ; Young Adult ; Adult ; COVID-19/epidemiology* ; Incidence ; SARS-CoV-2 ; Logistic Models

Objective:To explore the marking method for magnetically controlled capsule gastroscopy (MCCG) pictures with artificial intelligence (AI), so as to improve the work efficiency of endoscopist and to reduce the blind area of AI image reading.Methods:According to the consensus of MCCG, 24 parts of stomach in 14 775 pictures of MCCG from 35 subjects in Shenzhen Zifu Medical Technology Co., Ltd received MCCG from March to August, 2020 were marked by ten gastroenterologists and one developer of MCCG with medical background, the marking shape included rectangles and polygons. Among the ten gastroenterologists, three were senior endoscopist (the total number of gastroenteroscopy operations over 80 000, chief physician or associate chief physician), four were medium seniority endoscopist (the total number of gastroenteroscopy operations between 10 000 and 80 000, associate chief physician), and three were junior endoscopist (the total number of gastroenteroscopy operations less than 10 000, attending physician). The pictures of the same subject were pre-marked by two selected senior endoscopists with blind method, and the standard of marking with most appropriate coincidence rate was determined. The qualified marked pictures were automatically learn with AI deep learning method, and the learning results were fed back. Chi square test was used for statistical analysis.Results:According to the pre-marked results, the standard of coincidence rate for rectangular marking area was set as 50.0% and that for polygon marking area was 70.0%. The first correction for qualified rate was 39.0% (5 762/14 775). A total of 9 013 pictures were corrected. After repeated training and correction for one to five times, all pictures were qualified marked. The marking qualified rate of senior endoscopist partners was higher than that of partners of different qualifications (48.7%, 1 200/2 466 vs. 19.0%, 825/4 337), and the difference was statistically significant ( χ2=659.20, P<0.001). There was no statistically significant difference in the marking qualified rate between the senior endoscopist partners and partners of senior endoscopist and capsule developer (48.7%, 1 200/2 466 vs. 49.6%, 1 496/3 019; P>0.05). Conclusions:Establishment of AI marking method for MCCG can provide technical support for AI non-blind area reading, and AI non-blind area monitoring during the operation of MCCG.

Objective:To understand the changing trend and influencing factors of lens power (LP) in children aged 3-12 in Jing'an District, Shanghai.Methods:A cross-sectional study was conducted.One hundred and thirty-one eyes of 131 patients with refractive errors were included in the Optometry Clinic of Shanghai Eye Hospital from October 2019 to January 2020.The 1% atropine sulfate was employed to dilate pupils for children aged 6 years or younger, and 0.5% topiramate for children older than 6 years.The axial length, mean keratometry (Km), anterior chamber depth (ACD), lens thickness (LT) and central corneal thickness (CCT) were measured using an IOL Master.The spherical equivalent (SE) and best corrected visual acuity (BCVA) were measured after cycloplegia using autorefractor and phoropter, and the LP was calculated using the Bennett formula.The patients were divided into different age groups, including 3-4 years group (16 eyes), 5-6 years group (20 eyes), 7-8 years group (25 eyes), 9-10 years group (33 eyes) and 11-12 years group (37 eyes). There were 57 eyes in the male group and 74 eyes in the female group.The patients were also divided into different refractive groups, including mild myopia group (38 eyes), moderate myopia group (12 eyes), high myopia group (25 eyes), emmetropia group (11 eyes), mild hyperopia group (9 eyes), moderate hyperopia group (13 eyes), and high hyperopia group (23 eyes). The differences in ocular biological parameter measurements between different age groups, different gender groups and different refractive groups were compared and the correlations between age, eye parameters and LP were analyzed using Pearson correlation analysis.The contribution of multiple influencing factors to LP was analyzed by multiple linear regression models.The study protocol followed the Declaration of Helsinki and was approved by an Ethics Committee of Shanghai General Hospital, Shanghai Jiao Tong University Hospital (No.2020KY018). Written informed consent was obtained from each guardian of the subject.Results:The average LP of children in the 3-4 years group, 5-6 years group, 7-8 years group, 9-10 years group and 11-12 years group were (27.35±1.88), (24.71±1.92), (22.92±1.87), (21.49±1.54) and (21.25±1.55) D, respectively.With the increase of age, the LP value was decreased gradually.There were significant differences between 3-4 years group and 5-6 years group, 5-6 years group and 7-8 years group, 7-8 years group and 9-10 years group (all at P<0.05). The average LP value of girls was obviously higher than that of boys ( t=-3.38, P<0.01). The LP value of the high myopia group was significantly lower than that of the emmetropia group, and the LP values of the moderate myopia and the low myopia group were significantly lower than that of the hyperopia group, and the LP values of the low hyperopia group and the moderate hyperopia group were significantly higher than that of the emmetropia group (all at P<0.05). The LP value was negatively correlated with age, AL, ACD and CCT ( r=-0.76, -0.79, -0.38, -0.18; all at P<0.05), and was positively correlated with SE and LT ( r=0.62, P<0.05; r=0.68, P<0.01). There was no obvious correlation between Km and LP ( r=0.07, P=0.45). The independent influencing factors of LP were analyzed through multiple linear regression equations, showing that LP=-0.430×AL+ 0.329×LT-0.267×age-0.108×gender-0.084×CCT (male=1, female=0). The standardized coefficients of each factor arranged in descending order were AL, LT, age, gender and CCT (all at P<0.05). Conclusions:The LP of children aged 3-12 in Jing'an District of Shanghai decreases with age and increases with SE.LP values of girls are higher than those of boys.

Objective:To evaluate the efficacy of remimazolam combined with low-dose propofol for sedation during induction of anesthesia.Methods:A total of 228 patients of both sexes, aged 18-64 yr, with body mass index of 19-35 kg/m 2, of American Society of Anesthesiologists physical status Ⅰ-Ⅲ, undergoing elective laparoscopic cholecystectomy, were divided into 2 groups ( n=114 each) by a random number table method: remimazolam combined with low-dose propofol group (group R) and propofol group (group P). Anesthesia was induced with intravenous injection of sufentanil 0.3 μg/kg, remimazolam 0.3 mg/kg, propofol 0.5 mg/kg and micuronium 0.2 mg/kg in group R, and sufentanil 0.3 μg/kg, propofol 2 mg/kg and micuronium 0.2 mg/kg in group P. Endotracheal intubation was performed when bispectral index value ≤ 50.Before induction (T 0), immediately before intubation (T 1), at 1 min (T 2) and 3 min (T 3) after intubation, mean arterial pressure (MAP) and heart rate (HR) were recorded.The anesthesia induction time and the incidence of hypotension and bradycardia were recorded in the two groups. Results:There was no significant difference in MAP and HR at T 0 between the two groups ( P>0.05). Compared with the value at T 0, MAP in two groups and HR were significantly decreased at T 1-3 in group P ( P<0.01). Compared with group P, the anesthesia induction time was significantly prolonged, and hypotension and bradycardia was decreased in group R ( P<0.05). Conclusion:The combination of remimazolam and low-dose propofol exerts better efficacy for sedation during induction of anesthesia than propofol alone.

Objective::To establish the evaluation method of Pinelliae Rhizoma (PR) resources by the analytic hierarchy process (AHP) and grey correlation degree (GCD) method, so as to explore the differences in quality components, production efficiency and appearance traits of different germplasm resources cultivated in the same environment. Method::The quality component index, efficiency index, and appearance traits index of 15 germplasm resources were measured, including moisture, total ash, extractives, total acid content, harvest index, yield, drying rate, commodity rate, decay rate and deformability of tubers. Based on AHP and grey correlation method, each indicator data was processed in a comprehensive way, its comprehensive correlation value was calculated, and different PR germplasm resources were comprehensively evaluated. Result::Based on three factors-quality composition, production efficiency and appearance traits, the comprehensive correlation value of A6 was the highest, reaching 0.749 4, which was followed by A14, A15, A7, and their comprehensive correlation values were 0.736 6, 0.726 2, 0.718 2, respectively. Therefore, the source of A6 could be used as an excellent provenance introduced to the cultivation of PR, and the provenance of A14, A15, and A7 could be used as a useful supplement. Conclusion::The method of AHP and GCD-based multi-index comprehensive evaluation is simple and comprehensive to evaluate the diversity of different PR germplasm resources, and could provide a reference for the development and utilization of resources and the screening of high-quality provenances.