Patients with periodontal disease often require combined periodontal-orthodontic interventions to restore periodontal health, function, and aesthetics, ensuring both patient satisfaction and long-term stability. Managing these patients involving orthodontic tooth movement can be particularly challenging due to compromised periodontal soft and hard tissues, especially in severe cases. Therefore, close collaboration between orthodontists and periodontists for comprehensive diagnosis and sequential treatment, along with diligent patient compliance throughout the entire process, is crucial for achieving favorable treatment outcomes. Moreover, long-term orthodontic retention and periodontal follow-up are essential to sustain treatment success. This expert consensus, informed by the latest clinical research and practical experience, addresses clinical considerations for orthodontic treatment of periodontal patients, delineating indications, objectives, procedures, and principles with the aim of providing clear and practical guidance for clinical practitioners.
Humans ; Consensus ; Orthodontics, Corrective/standards* ; Periodontal Diseases/complications* ; Tooth Movement Techniques/methods* ; Practice Guidelines as Topic

Objective:To study the changes in skeletal muscle and serum nutritional indicators during concurrent chemoradiotherapy in cervical cancer patients,and to evaluate their correlation with short-term efficacy and long-term prognosis. Methods:A retrospective analysis was conducted on 114 patients with cervical cancer who underwent radical concurrent chemoradiotherapy in the Department of Oncology,Nanjing Drum Tower Hospital from February 2019 to February 2023. All patients underwent a treatment regimen comprising external beam radiation (EBRT),internal radiation,and concurrent chemotherapy. Serum nutritional data of the patients were collected before radiotherapy,one week,two weeks and five weeks after the onset of radiotherapy. CT images of the patients at the time of simulation and about five weeks after the onset of radiotherapy were imported into the Pinnacle 39.10 planning system,and the skeletal muscle index (SMI) of the third lumbar vertebra (L3) were calculated for each patients. The changes of the serum nutritional indicators of the patients prior to and post EBRT were analyzed statistically. The patients are categorized into two groups according to the baseline SMI:a sarcopenic group consisting of 35 cases and a non-sarcopenic group comprising 79 cases. The therapeutic outcomes between the two groups were compared,and logistic analysis of the relevant factors affecting the occurrence of sarcopenia during radiotherapy was conducted. The survival curves were drawn using Kaplan-Meier method and disease-free survival (DFS) between the two groups was compared using Log Rank test. We used Cox univariate and multivariate regression analysis to identify prognostic factors related to DFS. Results:The serum nutritional indicators of the patient at one week,two weeks,and five weeks after the beginning of EBRT were significantly lower than those before radiotherapy (P<0.05). The SMI from the CT images of simulation at five weeks after the onset of radiotherapy was significantly lower than that before radiotherapy (P<0.001). There was a significant correlation between hemoglobin levels prior to radiotherapy and incidence of sarcopenia during radiotherapy (P=0.046). There was no significant difference in efficacy between the two groups at the end of EBRT (P>0.05). At the end of radiotherapy,the complete response (CR) rate of the non-sarcopenia group was significantly higher than that of the sarcopenia group (P=0.040). However,the objective response rate (ORR) and disease control rate (DCR) of both groups at the end of radiotherapy were 100％. The 2-year DFS of the sarcopenia group and the non-sarcopenia group were 66.7％ and 85.5％,respectively,and the difference was statistically significant (P=0.016). Only four patients died during the 2-year follow-up,so OS was not reached. Baseline SMI,serum squamous cell antigen levels prior to radiotherapy,and degree of bone marrow suppression were three independent prognostic factors affecting DFS in the patients. Conclusion:Cervical cancer patients experience significant nutritional loss during chemoradiotherapy,and baseline SMI is significantly correlated with short-term efficacy and long-term prognosis and can serve as a predictive marker for patients with cervical cancer receiving chemoradiotherapy.

Most chemical medicines have polymorphs. The difference of medicine polymorphs in physicochemical properties directly affects the stability, efficacy, and safety of solid medicine products. Polymorphs is incomparably important to pharmaceutical chemistry, manufacturing, and control. Meantime polymorphs is a key factor for the quality of high-end drug and formulations. Polymorph prediction technology can effectively guide screening of trial experiments, and reduce the risk of missing stable crystal form in the traditional experiment. Polymorph prediction technology was firstly based on theoretical calculations such as quantum mechanics and computational chemistry, and then was developed by the key technology of machine learning using the artificial intelligence. Nowadays, the popular trend is to combine the advantages of theoretical calculation and machine learning to jointly predict crystal structure. Recently, predicting medicine polymorphs has still been a challenging problem. It is expected to learn from and integrate existing technologies to predict medicine polymorphs more accurately and efficiently.

BACKGROUND:Trauma-induced coagulopathy(TIC)due to serious injuries significantly leads to increased mortality and morbidity among elderly patients.However,the risk factors of TIC are not well elucidated.This study aimed to explore the risk factors of TIC in elderly patients who have major trauma. METHODS:In this retrospective study,the risk factors for TIC in elderly trauma patients at a single trauma center were investigated between January 2015 and September 2020.The demographic information including gender,age,trauma parts,injury severity,use of blood products,use of vasopressors,need of emergency surgery,duration of mechanical ventilation,length of stay in the intensive care unit(ICU)and hospital,and clinical outcomes were extracted from electric medical records.Multivariate logistic regression analysis was performed to differentiate risk factors,and the performance of the model was evaluated using receiver operating characteristics(ROC)curves. RESULTS:Among the 371 elderly trauma patients,248(66.8%)were male,with the age of 72.5±6.8 years,median injury severity score(ISS)of 24(IQR:17-29),and Glasgow coma score(GCS)of 14(IQR:7-15).Of these patients,129(34.8%)were diagnosed with TIC,whereas 242(65.2%)were diagnosed with non-TIC.The severity scores such as ISS(25[20-34]vs.21[16-29],P<0.001)and shock index(SI),(0.90±0.66 vs.0.58±0.18,P<0.001)was significantly higher in the TIC group than in the non-TIC group.Serum calcium levels(1.97±0.19 mmol/L vs.2.15±0.16 mmol/L,P<0.001),fibrinogen levels(1.7±0.8 g/L vs.2.8±0.9 g/L,P<0.001),and base excess(BE,-4.9±4.6 mmol/L vs.-1.2±3.1 mmol/L,P<0.001)were significantly lower in the TIC group than in the non-TIC group.Multivariate logistic regression analysis revealed that ISS>16(OR:3.404,95%CI:1.471-7.880;P=0.004),SI>1(OR:5.641,95%CI:1.700-18.719;P=0.005),low BE(OR:0.868,95%CI:0.760-0.991;P=0.037),hypocalcemia(OR:0.060,95%CI:0.009-0.392;P=0.003),and hypofibrinogenemia(OR:0.266,95%CI:0.168-0.419;P<0.001)were independent risk factors for TIC in elderly trauma patients.The AUC of the prediction model included all these risk factors was 0.887(95%CI:0.851-0.923)with a sensitivity and specificity of 83.6%and 82.6%,respectively. CONCLUSION:Higher ISS(more than 16),higher SI(more than 1),acidosis,hypocalcemia,and hypofibrinogenemia emerged as independent risk factors for TIC in elderly trauma patients.

【Objective】 To establish the internal quality control standard of leukocyte-depleted suspended red blood cell volume in our center, so as to guide the preparation of components, strengthen the internal quality control and improve the quality of blood preparations. 【Methods】 A total of 1 523 bags of whole blood collected using two manufacturers′ leukocyte-depleted blood bags from March to August 2023 at our center were extracted. The blood before and after filtration were weighed, and the volume of whole blood collected, the volume of filtration loss and the product volume based on the formula and measured specific gravity were calculated. According to the data distribution characteristics, the reference range of leukocyte-depleted suspended red blood cell volume was determined, and the differences of whole blood collection volume, filtration loss capacity and product capacity between the two manufacturers were analyzed. The quality control data of leukocyte-depleted red blood cells over the past year with the difference between another 100 bags of these cells and the reference interval were compared, and the effectiveness of reference interval was validated. 【Results】 The median whole blood collection volume in the sample size was 402.0 mL, with a median filtration loss of 42.4 mL, and an average volume of leukocyte-depleted suspended red blood cells at 322.5 mL. The whole blood collection volume (A: median 404.4 mL; B: median 397.7 mL, P<0.01) and the volume of leukocyte-depleted suspended red blood cell products (A: mean 331.4 mL; B: mean 312.0 mL, P<0.01) using manufacturer A′s leukocyte-depleted blood bag were both higher, with a lower filtration loss capacity (A: median 39.5 mL; B: median 46.6 mL, P<0.01). The standard deviation of the volume of leukocyte-depleted suspended red blood cell was 19.6, and the reference interval was 284.1-360.9 mL. The validation samples and quality control sampling data showed no difference from the interval samples (P>0.05). 【Conclusion】 According to the actual situation of our center, the volume standard of leukocyte-depleted suspended red blood cells in our center is determined to be 284.1-360.9 mL.

BACKGROUND:Trauma-induced coagulopathy(TIC)due to serious injuries significantly leads to increased mortality and morbidity among elderly patients.However,the risk factors of TIC are not well elucidated.This study aimed to explore the risk factors of TIC in elderly patients who have major trauma. METHODS:In this retrospective study,the risk factors for TIC in elderly trauma patients at a single trauma center were investigated between January 2015 and September 2020.The demographic information including gender,age,trauma parts,injury severity,use of blood products,use of vasopressors,need of emergency surgery,duration of mechanical ventilation,length of stay in the intensive care unit(ICU)and hospital,and clinical outcomes were extracted from electric medical records.Multivariate logistic regression analysis was performed to differentiate risk factors,and the performance of the model was evaluated using receiver operating characteristics(ROC)curves. RESULTS:Among the 371 elderly trauma patients,248(66.8%)were male,with the age of 72.5±6.8 years,median injury severity score(ISS)of 24(IQR:17-29),and Glasgow coma score(GCS)of 14(IQR:7-15).Of these patients,129(34.8%)were diagnosed with TIC,whereas 242(65.2%)were diagnosed with non-TIC.The severity scores such as ISS(25[20-34]vs.21[16-29],P<0.001)and shock index(SI),(0.90±0.66 vs.0.58±0.18,P<0.001)was significantly higher in the TIC group than in the non-TIC group.Serum calcium levels(1.97±0.19 mmol/L vs.2.15±0.16 mmol/L,P<0.001),fibrinogen levels(1.7±0.8 g/L vs.2.8±0.9 g/L,P<0.001),and base excess(BE,-4.9±4.6 mmol/L vs.-1.2±3.1 mmol/L,P<0.001)were significantly lower in the TIC group than in the non-TIC group.Multivariate logistic regression analysis revealed that ISS>16(OR:3.404,95%CI:1.471-7.880;P=0.004),SI>1(OR:5.641,95%CI:1.700-18.719;P=0.005),low BE(OR:0.868,95%CI:0.760-0.991;P=0.037),hypocalcemia(OR:0.060,95%CI:0.009-0.392;P=0.003),and hypofibrinogenemia(OR:0.266,95%CI:0.168-0.419;P<0.001)were independent risk factors for TIC in elderly trauma patients.The AUC of the prediction model included all these risk factors was 0.887(95%CI:0.851-0.923)with a sensitivity and specificity of 83.6%and 82.6%,respectively. CONCLUSION:Higher ISS(more than 16),higher SI(more than 1),acidosis,hypocalcemia,and hypofibrinogenemia emerged as independent risk factors for TIC in elderly trauma patients.

BACKGROUND:Trauma-induced coagulopathy(TIC)due to serious injuries significantly leads to increased mortality and morbidity among elderly patients.However,the risk factors of TIC are not well elucidated.This study aimed to explore the risk factors of TIC in elderly patients who have major trauma. METHODS:In this retrospective study,the risk factors for TIC in elderly trauma patients at a single trauma center were investigated between January 2015 and September 2020.The demographic information including gender,age,trauma parts,injury severity,use of blood products,use of vasopressors,need of emergency surgery,duration of mechanical ventilation,length of stay in the intensive care unit(ICU)and hospital,and clinical outcomes were extracted from electric medical records.Multivariate logistic regression analysis was performed to differentiate risk factors,and the performance of the model was evaluated using receiver operating characteristics(ROC)curves. RESULTS:Among the 371 elderly trauma patients,248(66.8%)were male,with the age of 72.5±6.8 years,median injury severity score(ISS)of 24(IQR:17-29),and Glasgow coma score(GCS)of 14(IQR:7-15).Of these patients,129(34.8%)were diagnosed with TIC,whereas 242(65.2%)were diagnosed with non-TIC.The severity scores such as ISS(25[20-34]vs.21[16-29],P<0.001)and shock index(SI),(0.90±0.66 vs.0.58±0.18,P<0.001)was significantly higher in the TIC group than in the non-TIC group.Serum calcium levels(1.97±0.19 mmol/L vs.2.15±0.16 mmol/L,P<0.001),fibrinogen levels(1.7±0.8 g/L vs.2.8±0.9 g/L,P<0.001),and base excess(BE,-4.9±4.6 mmol/L vs.-1.2±3.1 mmol/L,P<0.001)were significantly lower in the TIC group than in the non-TIC group.Multivariate logistic regression analysis revealed that ISS>16(OR:3.404,95%CI:1.471-7.880;P=0.004),SI>1(OR:5.641,95%CI:1.700-18.719;P=0.005),low BE(OR:0.868,95%CI:0.760-0.991;P=0.037),hypocalcemia(OR:0.060,95%CI:0.009-0.392;P=0.003),and hypofibrinogenemia(OR:0.266,95%CI:0.168-0.419;P<0.001)were independent risk factors for TIC in elderly trauma patients.The AUC of the prediction model included all these risk factors was 0.887(95%CI:0.851-0.923)with a sensitivity and specificity of 83.6%and 82.6%,respectively. CONCLUSION:Higher ISS(more than 16),higher SI(more than 1),acidosis,hypocalcemia,and hypofibrinogenemia emerged as independent risk factors for TIC in elderly trauma patients.

BACKGROUND:Trauma-induced coagulopathy(TIC)due to serious injuries significantly leads to increased mortality and morbidity among elderly patients.However,the risk factors of TIC are not well elucidated.This study aimed to explore the risk factors of TIC in elderly patients who have major trauma. METHODS:In this retrospective study,the risk factors for TIC in elderly trauma patients at a single trauma center were investigated between January 2015 and September 2020.The demographic information including gender,age,trauma parts,injury severity,use of blood products,use of vasopressors,need of emergency surgery,duration of mechanical ventilation,length of stay in the intensive care unit(ICU)and hospital,and clinical outcomes were extracted from electric medical records.Multivariate logistic regression analysis was performed to differentiate risk factors,and the performance of the model was evaluated using receiver operating characteristics(ROC)curves. RESULTS:Among the 371 elderly trauma patients,248(66.8%)were male,with the age of 72.5±6.8 years,median injury severity score(ISS)of 24(IQR:17-29),and Glasgow coma score(GCS)of 14(IQR:7-15).Of these patients,129(34.8%)were diagnosed with TIC,whereas 242(65.2%)were diagnosed with non-TIC.The severity scores such as ISS(25[20-34]vs.21[16-29],P<0.001)and shock index(SI),(0.90±0.66 vs.0.58±0.18,P<0.001)was significantly higher in the TIC group than in the non-TIC group.Serum calcium levels(1.97±0.19 mmol/L vs.2.15±0.16 mmol/L,P<0.001),fibrinogen levels(1.7±0.8 g/L vs.2.8±0.9 g/L,P<0.001),and base excess(BE,-4.9±4.6 mmol/L vs.-1.2±3.1 mmol/L,P<0.001)were significantly lower in the TIC group than in the non-TIC group.Multivariate logistic regression analysis revealed that ISS>16(OR:3.404,95%CI:1.471-7.880;P=0.004),SI>1(OR:5.641,95%CI:1.700-18.719;P=0.005),low BE(OR:0.868,95%CI:0.760-0.991;P=0.037),hypocalcemia(OR:0.060,95%CI:0.009-0.392;P=0.003),and hypofibrinogenemia(OR:0.266,95%CI:0.168-0.419;P<0.001)were independent risk factors for TIC in elderly trauma patients.The AUC of the prediction model included all these risk factors was 0.887(95%CI:0.851-0.923)with a sensitivity and specificity of 83.6%and 82.6%,respectively. CONCLUSION:Higher ISS(more than 16),higher SI(more than 1),acidosis,hypocalcemia,and hypofibrinogenemia emerged as independent risk factors for TIC in elderly trauma patients.

BACKGROUND:Trauma-induced coagulopathy(TIC)due to serious injuries significantly leads to increased mortality and morbidity among elderly patients.However,the risk factors of TIC are not well elucidated.This study aimed to explore the risk factors of TIC in elderly patients who have major trauma. METHODS:In this retrospective study,the risk factors for TIC in elderly trauma patients at a single trauma center were investigated between January 2015 and September 2020.The demographic information including gender,age,trauma parts,injury severity,use of blood products,use of vasopressors,need of emergency surgery,duration of mechanical ventilation,length of stay in the intensive care unit(ICU)and hospital,and clinical outcomes were extracted from electric medical records.Multivariate logistic regression analysis was performed to differentiate risk factors,and the performance of the model was evaluated using receiver operating characteristics(ROC)curves. RESULTS:Among the 371 elderly trauma patients,248(66.8%)were male,with the age of 72.5±6.8 years,median injury severity score(ISS)of 24(IQR:17-29),and Glasgow coma score(GCS)of 14(IQR:7-15).Of these patients,129(34.8%)were diagnosed with TIC,whereas 242(65.2%)were diagnosed with non-TIC.The severity scores such as ISS(25[20-34]vs.21[16-29],P<0.001)and shock index(SI),(0.90±0.66 vs.0.58±0.18,P<0.001)was significantly higher in the TIC group than in the non-TIC group.Serum calcium levels(1.97±0.19 mmol/L vs.2.15±0.16 mmol/L,P<0.001),fibrinogen levels(1.7±0.8 g/L vs.2.8±0.9 g/L,P<0.001),and base excess(BE,-4.9±4.6 mmol/L vs.-1.2±3.1 mmol/L,P<0.001)were significantly lower in the TIC group than in the non-TIC group.Multivariate logistic regression analysis revealed that ISS>16(OR:3.404,95%CI:1.471-7.880;P=0.004),SI>1(OR:5.641,95%CI:1.700-18.719;P=0.005),low BE(OR:0.868,95%CI:0.760-0.991;P=0.037),hypocalcemia(OR:0.060,95%CI:0.009-0.392;P=0.003),and hypofibrinogenemia(OR:0.266,95%CI:0.168-0.419;P<0.001)were independent risk factors for TIC in elderly trauma patients.The AUC of the prediction model included all these risk factors was 0.887(95%CI:0.851-0.923)with a sensitivity and specificity of 83.6%and 82.6%,respectively. CONCLUSION:Higher ISS(more than 16),higher SI(more than 1),acidosis,hypocalcemia,and hypofibrinogenemia emerged as independent risk factors for TIC in elderly trauma patients.

BACKGROUND:Trauma-induced coagulopathy(TIC)due to serious injuries significantly leads to increased mortality and morbidity among elderly patients.However,the risk factors of TIC are not well elucidated.This study aimed to explore the risk factors of TIC in elderly patients who have major trauma. METHODS:In this retrospective study,the risk factors for TIC in elderly trauma patients at a single trauma center were investigated between January 2015 and September 2020.The demographic information including gender,age,trauma parts,injury severity,use of blood products,use of vasopressors,need of emergency surgery,duration of mechanical ventilation,length of stay in the intensive care unit(ICU)and hospital,and clinical outcomes were extracted from electric medical records.Multivariate logistic regression analysis was performed to differentiate risk factors,and the performance of the model was evaluated using receiver operating characteristics(ROC)curves. RESULTS:Among the 371 elderly trauma patients,248(66.8%)were male,with the age of 72.5±6.8 years,median injury severity score(ISS)of 24(IQR:17-29),and Glasgow coma score(GCS)of 14(IQR:7-15).Of these patients,129(34.8%)were diagnosed with TIC,whereas 242(65.2%)were diagnosed with non-TIC.The severity scores such as ISS(25[20-34]vs.21[16-29],P<0.001)and shock index(SI),(0.90±0.66 vs.0.58±0.18,P<0.001)was significantly higher in the TIC group than in the non-TIC group.Serum calcium levels(1.97±0.19 mmol/L vs.2.15±0.16 mmol/L,P<0.001),fibrinogen levels(1.7±0.8 g/L vs.2.8±0.9 g/L,P<0.001),and base excess(BE,-4.9±4.6 mmol/L vs.-1.2±3.1 mmol/L,P<0.001)were significantly lower in the TIC group than in the non-TIC group.Multivariate logistic regression analysis revealed that ISS>16(OR:3.404,95%CI:1.471-7.880;P=0.004),SI>1(OR:5.641,95%CI:1.700-18.719;P=0.005),low BE(OR:0.868,95%CI:0.760-0.991;P=0.037),hypocalcemia(OR:0.060,95%CI:0.009-0.392;P=0.003),and hypofibrinogenemia(OR:0.266,95%CI:0.168-0.419;P<0.001)were independent risk factors for TIC in elderly trauma patients.The AUC of the prediction model included all these risk factors was 0.887(95%CI:0.851-0.923)with a sensitivity and specificity of 83.6%and 82.6%,respectively. CONCLUSION:Higher ISS(more than 16),higher SI(more than 1),acidosis,hypocalcemia,and hypofibrinogenemia emerged as independent risk factors for TIC in elderly trauma patients.