To explore the role of the "Clinical Practice Guidelines" column and others in the Medical Joumnal of Peking Union Medical College Hospital (Med J PUMCH) in promoting diseiplinary development.

Objective:To establish three machine learning prediction models based on CT imaging characteristics of papillary thyroid carcinoma (PTC) , and use SHAP (shapley additive explanations) analysis to investigate the contribution of each CT image features in the best model.Methods:CT imaging features in 426 cases of 440 PTCs confirmed pathologically from Jan. 2016 to Jan. 2021 at the affiliated Hangzhou First People’s Hospital of Westlake University Medical School were retrospectively analyzed. compared with 467 cases of 528 nodular goiter (NG) , evaluating the distribution of four CT characteristics: cookie bite sign, enhanced range of narrowing/blur (ERNB) , microcalcifications, and irregular shape. We split the data into 8∶2 ratio for training and testing sets, then constructed three machine learning models using XGBoost, RF, and SVM. Based on AUC, accuracy, F1 score, and other metrics, we selected the best model. Lastly, we used SHAP values to assess each CT feature’s contribution and positive/negative effects on the model.Results:Among 440 PTC and 528 NG nodules, CT features like cookie bite sign, ERNB, microcalcifications, and irregular shape occurred in 326 and 30 ( χ 2=483.05, P<0.001) , 363 and 106 ( χ 2=374.45, P<0.001) , 158 and 53 ( χ 2=94.24, P<0.001) , and 354 and 52 ( χ 2=491.34, P<0.001) nodules, respectively. The machine learning models built using XGBoost, RF, and SVM had AUC, accuracy, and F1 scores ranging from 0.884~0.925, 0.867~0.873, and 0.844~0.854 respectively on the training set. On the test set, the scores ranged from 0.869~0.923, 0.845~0.871, and 0.803~0.845. Among them, the XGBoost model demonstrated the highest diagnostic performance on the test set. Among the four CT features, irregular shape had the highest absolute SHAP value, positively contributing to PTC diagnosis. Conclusion:XGBoost model showed the highest PTC diagnostic performance. Irregular shape had the greatest positive impact on PTC diagnosis.

ObjectiveTo explore the central neuroregulation mechanism of heat-sensitive moxibustion for knee osteoarthritis on pain relief. MethodsThirty patients who did not have experience of Deqi （得气） during heat-sensitive moxibustion treatment were assigned to the "non-Deqi group"， while another 30 patients who had experience of Deqi were assigned to the "Deqi group". Both groups received moxibustion at the left Heding （EX-LE2） acupoint. In the Deqi group， after the patients experienced sensation of Deqi at the acupoint， moxibustion was applied at approximately 3 cm from the skin for 10 minutes； in the non-Deqi group， moxibustion was also applied at approximately 3 cm from the skin for 10 minutes. Both groups received treatment once daily for 10 consecutive days. Knee joint pain was assessed before and after treatment using the visual analog scale （VAS）. Resting-state functional magnetic resonance imaging （rs-fMRI） scans were performed on all participants before the first treatment session and after the final session on the 10th day. The fractional amplitude of low-frequency fluctuations （fALFF） maps before and after treatment were processed using the SPM12 module by MATLAB. ResultsAfter treatment， VAS scores in both groups were significantly lower than before treatment （P＜0.05 or P＜0.01）， with the Deqi group showing significantly lower VAS scores than the non-Deqi group （P＜0.01）. Compared to before treatment， the Deqi group exhibited significant activation in the prefrontal cortex （t = 6.28）， white matter （t = 6.36）， and left temporal lobe （t = 9.33）， while significant inhibition was observed in the occipital lobe （t = -9.86） and right cerebrum （t = -4.54， P＜0.01）； in the non-Deqi group， significant changes after treatment were observed in the left occipital lobe （t = -6.42）， left medial frontal gyrus （t = -4.35）， left middle frontal gyrus （t = -4.74）， right superior frontal gyrus （t = -4.82）， right superior temporal gyrus （t = -6.61）， and right cerebellar posterior lobe （t = -8.64）， all of which were in inhibited states （P＜0.01）. Compared to the non-Deqi group， the Deqi group exhibited significant activation after treatment in the external nucleus （t = 5.77）， white matter （t = 3.58）， right cerebrum （t = 5.84）， left cerebellum （t = 5.35）， and left cerebrum （t = 4.32）， while significant inhibition was observed in the prefrontal cortex （t = -4.16）， occipital lobe （t = -4.87）， and precentral gyrus （t = -4.46， P＜0.01）. ConclusionsHeat-sensitive moxibustion provides better analgesic effects for knee osteoarthritis under state of Deqi. Its central neuroregulation mechanism may be related to the involvement of the frontal lobe， temporal lobe， occipital lobe， external nucleus， white matter， right cerebrum， left cerebellum， left cerebrum， and precentral gyrus in modulating pain signals.

Objective:To evaluate the diagnostic value of the vesical imaging-reporting and data system（VI-RADS）for determining muscle invasion in variant histology urothelial carcinoma（VUC）of the bladder.Methods:A retrospective analysis was performed on the pathological and imaging data of 518 bladder cancer patients admitted to Jiangsu Province Hospital between January 2013 and January 2023. Patients were stratified into pure urothelial carcinoma（PUC）group（ n = 457）and variant urothelial carcinoma（VUC）group（ n = 61）based on the presence of histological variants. In the PUC group，there were 390 males（85.3%）and 67 females（14.7%），with a mean age of（66.9 ± 11.2）years. Tumor characteristics included maximum diameter ≥ 30 mm in 149（32.6%），< 30 mm in 308（67.4%），multiple tumors in 147（32.2%），solitary in 310（67.8%），pedunculated morphology in 143（31.3%）and non-pedunculated in 314（68.7%）. Histological grading identified high-grade tumors in 319 patients（69.8%）and low-grade tumors in 138（30.2%）. Pathological stage distribution included 191 of T a（41.8%），127 of T 1（27.8%），76 of T 2（16.6%），47 of T 3（10.3%），and 16 of T 4（3.5%）patients. The VUC group included 61 patients，comprising 51 males（83.6%）and 10 females（16.4%），with a mean age of（65.8 ± 11.4）years. Tumor characteristics were maximum diameter ≥ 30 mm in 38（62.3%），< 30 mm in 23（37.7%），multiple tumors in 16（26.2%），solitary in 45（73.8%），pedunculated morphology in 11（18.0%）and non-pedunculated in 50（82.0%）. Histological grading identified high-grade tumors in 59 patients（96.7%）and low-grade tumors in 2（3.3%）. Pathological stage distribution included 3 of T a（4.9%），15 of T 1（24.6%），15 of T 2（24.6%），20 of T 3（32.8%），and 8 of T 4（13.1%）patients. No statistically significant differences were found between the two groups in gender，age，or tumor multiplicity（ P > 0.05）. Statistically significant differences were found in pathological grade，pathological stage，maximum tumor diameter，and pedunculated morphology（ P < 0.05）. Furthermore，an external validation cohort of 278 bladder cancer patients treated between February 2023 and February 2024 from multiple centers（Jiangsu Provincial People’s Hospital，The First Affiliated Hospital of Zhengzhou University，Union Hospital Tongji Medical College Huazhong University of Science and Technology，Jiangsu Provincial Hospital of Traditional Chinese Medicine，Suzhou Municipal Hospital，Huaian First People’s Hospital，Yixing People’s Hospital）was retrospectively analyzed to externally validate the performance of VI-RADS scoring in predicting muscle invasion of VUC. This cohort included a PUC subgroup of 241 patients，comprising 196 males（81.3%）and 45 females（18.7%），with a mean age of（68.0 ± 10.7）years. Tumor characteristics were maximum diameter ≥ 30 mm in 85（35.3%），< 30 mm in 156（64.7%），multiple tumors in 65（27.0%），solitary in 176（73.0%），pedunculated morphology in 76（31.5%）and non-pedunculated in 165（68.5%）. Histological grading identified high-grade tumors in 175 patients（72.6%）and low-grade tumors in 66（27.4%）. Pathological staging comprised 107 patients of T a（44.4%），78 of T 1（32.4%），22 of T 2（9.1%），22 of T 3（9.1%），and 12 of T 4（5.0%）. The VUC subgroup consisted of 37 patients，comprising 29 males（78.4%）and 8 females（21.6%），with a mean age of（70.5 ± 9.5）years. Tumor characteristics were maximum diameter ≥ 30 mm in 23（62.2%），< 30 mm in 14（37.8%），multiple tumors in 9（24.3%），solitary in 28（75.7%），pedunculated morphology in 7（18.9%）and non-pedunculated in 30（81.1%）. Histological grading identified high-grade tumors in 36 patients（97.3%）and low-grade tumors in 1（2.7%）. Pathological staging comprised 1 patient of T a（2.7%），9 of T 1（24.3%），7 of T 2（18.9%），19 of T 3（51.4%），and 1 of T 4（2.7%）. In this validation cohort，no significant differences were found in gender，age，tumor multiplicity，or pedunculated morphology between the PUC and VUC subgroups（ P > 0.05）. Significant differences were observed in pathological grade，pathological stage，and maximum tumor diameter（ P < 0.05）. Three radiologists independently reviewed and scored the multiparametric MRI（mp-MRI）in a blinded manner. Inter-reader agreement was assessed using the weighted kappa statistic. Differences in variables between the two groups were compared using t-tests，chi-square tests，or Fisher’s exact test. The diagnostic performance of VI-RADS for muscle invasion in VUC and PUC was comprehensively evaluated using receiver operating characteristic（ROC）curves，the area under the curve（AUC），and cut-off values determined by the Youden’s index. The DeLong test was used to assess whether the diagnostic performance of VI-RADS differed between VUC and PUC. Results:In the retrospective single-center cohort，the AUC of VI-RADS for assessing muscle invasion was 0.895（95% CI 0.864?0.922）in the PUC group，with a cut-off value of > 3，and the AUC was 0.896（95% CI 0.791-0.960）in the VUC group，with a cut-off value of > 3. The difference between the two groups was not statistically significant（ P = 0.986）. Using a VI-RADS score > 3 as the cut-off value，the accuracy，sensitivity，specificity，positive predictive value（PPV），and negative predictive value（NPV）for diagnosing muscle invasion status in the PUC group were 85.8%（392/457），70.5%（98/139），92.5%（294/318），80.3%（98/122），and 87.8%（294/335），respectively. The corresponding values for the VUC group were 82.0%（50/61），76.7%（33/43），94.4%（17/18），97.1%（33/34），and 63.0%（17/27）.In the retrospective multicenter cohort，the AUC of VI-RADS for assessing muscle invasion was 0.891（95% CI 0.845?0.927）in the PUC group，with a cut-off value of > 2，and the AUC was 0.898（95% CI 0.754?0.973）in the VUC group，with a cut-off value of > 3. The difference between the two groups was not statistically significant（ P = 0.897）. Using a VI-RADS score > 3 as the cut-off value，the accuracy，sensitivity，specificity，PPV，and NPV for diagnosing muscle invasion status in the PUC group were 85.9%（207/241），58.9%（33/56），94.1%（174/185），75.0%（33/44），and 88.3%（174/197），respectively. The corresponding values for the VUC group were 81.1%（30/37），77.8%（21/27），90.0%（9/10），95.5%（21/22），and 60.0%（9/15）.In the single-center cohort，the Kappa values for inter-reader agreement in assessing muscle invasion status using VI-RADS were 0.881（ P < 0.01）for the PUC group and 0.941（ P < 0.01）for the VUC group among the three readers. In the multicenter cohort，the Kappa values were 0.858（ P < 0.01）for the PUC group and 0.838（ P < 0.01）for the VUC group. Conclusions:VI-RADS demonstrates similarly high diagnostic performance for assessing muscle invasion in both PUC and VUC，which is applicable for diagnosing muscle invasion status in VUC，and shows good inter-reader agreement.

Objective:To establish three machine learning prediction models based on CT imaging characteristics of papillary thyroid carcinoma (PTC) , and use SHAP (shapley additive explanations) analysis to investigate the contribution of each CT image features in the best model.Methods:CT imaging features in 426 cases of 440 PTCs confirmed pathologically from Jan. 2016 to Jan. 2021 at the affiliated Hangzhou First People’s Hospital of Westlake University Medical School were retrospectively analyzed. compared with 467 cases of 528 nodular goiter (NG) , evaluating the distribution of four CT characteristics: cookie bite sign, enhanced range of narrowing/blur (ERNB) , microcalcifications, and irregular shape. We split the data into 8∶2 ratio for training and testing sets, then constructed three machine learning models using XGBoost, RF, and SVM. Based on AUC, accuracy, F1 score, and other metrics, we selected the best model. Lastly, we used SHAP values to assess each CT feature’s contribution and positive/negative effects on the model.Results:Among 440 PTC and 528 NG nodules, CT features like cookie bite sign, ERNB, microcalcifications, and irregular shape occurred in 326 and 30 ( χ 2=483.05, P<0.001) , 363 and 106 ( χ 2=374.45, P<0.001) , 158 and 53 ( χ 2=94.24, P<0.001) , and 354 and 52 ( χ 2=491.34, P<0.001) nodules, respectively. The machine learning models built using XGBoost, RF, and SVM had AUC, accuracy, and F1 scores ranging from 0.884~0.925, 0.867~0.873, and 0.844~0.854 respectively on the training set. On the test set, the scores ranged from 0.869~0.923, 0.845~0.871, and 0.803~0.845. Among them, the XGBoost model demonstrated the highest diagnostic performance on the test set. Among the four CT features, irregular shape had the highest absolute SHAP value, positively contributing to PTC diagnosis. Conclusion:XGBoost model showed the highest PTC diagnostic performance. Irregular shape had the greatest positive impact on PTC diagnosis.

Objective:To evaluate the diagnostic value of the vesical imaging-reporting and data system（VI-RADS）for determining muscle invasion in variant histology urothelial carcinoma（VUC）of the bladder.Methods:A retrospective analysis was performed on the pathological and imaging data of 518 bladder cancer patients admitted to Jiangsu Province Hospital between January 2013 and January 2023. Patients were stratified into pure urothelial carcinoma（PUC）group（ n = 457）and variant urothelial carcinoma（VUC）group（ n = 61）based on the presence of histological variants. In the PUC group，there were 390 males（85.3%）and 67 females（14.7%），with a mean age of（66.9 ± 11.2）years. Tumor characteristics included maximum diameter ≥ 30 mm in 149（32.6%），< 30 mm in 308（67.4%），multiple tumors in 147（32.2%），solitary in 310（67.8%），pedunculated morphology in 143（31.3%）and non-pedunculated in 314（68.7%）. Histological grading identified high-grade tumors in 319 patients（69.8%）and low-grade tumors in 138（30.2%）. Pathological stage distribution included 191 of T a（41.8%），127 of T 1（27.8%），76 of T 2（16.6%），47 of T 3（10.3%），and 16 of T 4（3.5%）patients. The VUC group included 61 patients，comprising 51 males（83.6%）and 10 females（16.4%），with a mean age of（65.8 ± 11.4）years. Tumor characteristics were maximum diameter ≥ 30 mm in 38（62.3%），< 30 mm in 23（37.7%），multiple tumors in 16（26.2%），solitary in 45（73.8%），pedunculated morphology in 11（18.0%）and non-pedunculated in 50（82.0%）. Histological grading identified high-grade tumors in 59 patients（96.7%）and low-grade tumors in 2（3.3%）. Pathological stage distribution included 3 of T a（4.9%），15 of T 1（24.6%），15 of T 2（24.6%），20 of T 3（32.8%），and 8 of T 4（13.1%）patients. No statistically significant differences were found between the two groups in gender，age，or tumor multiplicity（ P > 0.05）. Statistically significant differences were found in pathological grade，pathological stage，maximum tumor diameter，and pedunculated morphology（ P < 0.05）. Furthermore，an external validation cohort of 278 bladder cancer patients treated between February 2023 and February 2024 from multiple centers（Jiangsu Provincial People’s Hospital，The First Affiliated Hospital of Zhengzhou University，Union Hospital Tongji Medical College Huazhong University of Science and Technology，Jiangsu Provincial Hospital of Traditional Chinese Medicine，Suzhou Municipal Hospital，Huaian First People’s Hospital，Yixing People’s Hospital）was retrospectively analyzed to externally validate the performance of VI-RADS scoring in predicting muscle invasion of VUC. This cohort included a PUC subgroup of 241 patients，comprising 196 males（81.3%）and 45 females（18.7%），with a mean age of（68.0 ± 10.7）years. Tumor characteristics were maximum diameter ≥ 30 mm in 85（35.3%），< 30 mm in 156（64.7%），multiple tumors in 65（27.0%），solitary in 176（73.0%），pedunculated morphology in 76（31.5%）and non-pedunculated in 165（68.5%）. Histological grading identified high-grade tumors in 175 patients（72.6%）and low-grade tumors in 66（27.4%）. Pathological staging comprised 107 patients of T a（44.4%），78 of T 1（32.4%），22 of T 2（9.1%），22 of T 3（9.1%），and 12 of T 4（5.0%）. The VUC subgroup consisted of 37 patients，comprising 29 males（78.4%）and 8 females（21.6%），with a mean age of（70.5 ± 9.5）years. Tumor characteristics were maximum diameter ≥ 30 mm in 23（62.2%），< 30 mm in 14（37.8%），multiple tumors in 9（24.3%），solitary in 28（75.7%），pedunculated morphology in 7（18.9%）and non-pedunculated in 30（81.1%）. Histological grading identified high-grade tumors in 36 patients（97.3%）and low-grade tumors in 1（2.7%）. Pathological staging comprised 1 patient of T a（2.7%），9 of T 1（24.3%），7 of T 2（18.9%），19 of T 3（51.4%），and 1 of T 4（2.7%）. In this validation cohort，no significant differences were found in gender，age，tumor multiplicity，or pedunculated morphology between the PUC and VUC subgroups（ P > 0.05）. Significant differences were observed in pathological grade，pathological stage，and maximum tumor diameter（ P < 0.05）. Three radiologists independently reviewed and scored the multiparametric MRI（mp-MRI）in a blinded manner. Inter-reader agreement was assessed using the weighted kappa statistic. Differences in variables between the two groups were compared using t-tests，chi-square tests，or Fisher’s exact test. The diagnostic performance of VI-RADS for muscle invasion in VUC and PUC was comprehensively evaluated using receiver operating characteristic（ROC）curves，the area under the curve（AUC），and cut-off values determined by the Youden’s index. The DeLong test was used to assess whether the diagnostic performance of VI-RADS differed between VUC and PUC. Results:In the retrospective single-center cohort，the AUC of VI-RADS for assessing muscle invasion was 0.895（95% CI 0.864?0.922）in the PUC group，with a cut-off value of > 3，and the AUC was 0.896（95% CI 0.791-0.960）in the VUC group，with a cut-off value of > 3. The difference between the two groups was not statistically significant（ P = 0.986）. Using a VI-RADS score > 3 as the cut-off value，the accuracy，sensitivity，specificity，positive predictive value（PPV），and negative predictive value（NPV）for diagnosing muscle invasion status in the PUC group were 85.8%（392/457），70.5%（98/139），92.5%（294/318），80.3%（98/122），and 87.8%（294/335），respectively. The corresponding values for the VUC group were 82.0%（50/61），76.7%（33/43），94.4%（17/18），97.1%（33/34），and 63.0%（17/27）.In the retrospective multicenter cohort，the AUC of VI-RADS for assessing muscle invasion was 0.891（95% CI 0.845?0.927）in the PUC group，with a cut-off value of > 2，and the AUC was 0.898（95% CI 0.754?0.973）in the VUC group，with a cut-off value of > 3. The difference between the two groups was not statistically significant（ P = 0.897）. Using a VI-RADS score > 3 as the cut-off value，the accuracy，sensitivity，specificity，PPV，and NPV for diagnosing muscle invasion status in the PUC group were 85.9%（207/241），58.9%（33/56），94.1%（174/185），75.0%（33/44），and 88.3%（174/197），respectively. The corresponding values for the VUC group were 81.1%（30/37），77.8%（21/27），90.0%（9/10），95.5%（21/22），and 60.0%（9/15）.In the single-center cohort，the Kappa values for inter-reader agreement in assessing muscle invasion status using VI-RADS were 0.881（ P < 0.01）for the PUC group and 0.941（ P < 0.01）for the VUC group among the three readers. In the multicenter cohort，the Kappa values were 0.858（ P < 0.01）for the PUC group and 0.838（ P < 0.01）for the VUC group. Conclusions:VI-RADS demonstrates similarly high diagnostic performance for assessing muscle invasion in both PUC and VUC，which is applicable for diagnosing muscle invasion status in VUC，and shows good inter-reader agreement.

Objective:To explore the diagnostic value of quantitative analysis of contrast-enhanced ultrasound for deep venous thrombosis of lower extremity after total hip arthroplasty.Methods:A total of 150 patients suspected of deep venous thrombosis of lower extremity undergoing total hip arthroplasty treatment in Jiaozhou Central Hospital of Qingdao from June 2021 to June 2022 were selected. Color Doppler ultrasound diagnostic instrument was used to examine the deep vein vessels of the lower limbs of patients, and quantitative analysis of contrast-enhanced ultrasound was performed to record the color Doppler detection results of patients. Quantitative parameters of contrast-enhanced ultrasound including time to peak (TIP), derived peak intensity (DPI), slope of ascending branch of curve (C) were compared between patients with deep vein thrombosis of lower extremities and normal patients. According to the onset time of symptoms of lower extremity thrombus group, patients were divided into acute stage, subacute stage and chronic stage, and the thrombus elasticity score and thrombus strain ratio among the three subgroups were compared.Results:Angiography results showed that 82 patients were diagnosed with deep vein thrombosis of lower extremities. The Kappa = 0.904, sensitivity was 95.00%, specificity was 91.43%, accuracy was 93.33%, positive prediction rate was 92.68%, and negative prediction rate was 94.12% by using contrast-enhanced ultrasonography and angiography in the diagnosis of deep vein thrombosis of lower extremity. The Kappa = 0.616, the sensitivity was 77.55%, specificity was 88.46%, accuracy was 81.33%, positive prediction rate was 92.68%, negative prediction rate was 67.65% by using ultrasonography and angiography in the diagnosis of deep venous thrombosis of lower extremities. The TIP level in patients with deep venous thrombosis of lower limbs was higher than that in normal patients, the DPI and C levels were lower than that in normal patients: (40.21 ± 12.34) s vs. (13.50 ± 4.59) s, (- 32.27 ± 7.56) dB vs. (- 11.33 ± 3.07) dB, (1.88 ± 0.40) dB/s vs. (4.75 ± 1.34) dB/s, there were statistical differences ( P<0.05). There were 28 cases of acute stage thrombosis, 22 cases of subacute stage thrombosis, and 32 cases of chronic stage thrombosis. There were statistically significant differences in thrombus elasticity score and thrombus strain ratio among patients with lower extremity thrombosis at different periods. Thrombus elasticity score and thrombus strain ratio of patients with acute stage thrombus were the lowest. Conclusions:Quantitative analysis of contrast-enhanced ultrasound has good consistency in the diagnosis of lower extremity deep vein thrombosis after total hip arthroplasty, and has certain clinical significance for staging diagnosis of lower extremity deep vein thrombosis.

Objective:To analyze the mutation types and distribution characteristics of thalassemia gene among high-risk populations in Sanya City, and to evaluate the effectiveness of blood routine screening, in order to provide scientific basis for formulating measures for prevention and control of thalassemia in Sanya City.Methods:Retrospective analysis was used to collect detection results and clinical data from high-risk individuals who completed genetic screening for thalassemia at Sanya Materal and Child Health Hospital from January 2019 to August 2021. Mutation types and distribution characteristics of thalassemia gene were analyzed, and the missed detection rate and sensitivity of blood routine indicators [mean corpuscular volume (MCV) and mean corpuscular hemoglobin (MCH)] were evaluated based on the results of genetic screening for thalassemia.Results:A total of 5 760 high-risk individuals were included in the screening results of thalassemia genes, and 3 868 samples of thalassemia gene mutations were detected, with a detection rate of 67.15%. Among them, there were 2 979 samples with α-thalassemia genetic mutations, with a detection rate of 51.72%; including 2 966 common genotype samples (99.56%), the main genotype was αα/-α 3.7 (20.14%, 600/2 979); 13 rare genotype samples (0.44%), 4 cases of αα/-- THAI, 3 cases of α CD40(AAG>AA-)α/αα, 2 cases of α PPα/αα, and 1 case of Fusion gene/αα, Fusion gene/α WSα, α WSα/α PPα, and α CD40(AAG>AA-)α/α WSα each. There were 340 samples with β-thalassemia gene mutations, with a detection rate of 5.90%; including 336 common genotype samples (98.82%). The β CD41/42/β N genotype was dominant (57.65%, 196/340); 4 rare genotype samples (1.18%), β CD5(-CT)/β N, β IVS-Ⅱ-2(-T)/β N, β IVS-Ⅱ-761(-T)/β N and β Initiation(ATG>AGG)/β N 1 case each. There were 549 samples of αβ-compound type thalassemia, with a detection rate of 9.53%. The α missing recombination β CD41/42 genotype was dominant (61.02%, 335/549). There were a total of 4 226 samples that could be traced back to MCV and MCH. Among them, 3 007 samples were found to have mutations in thalassemia genes through screening, 2 584 cases were found to have abnormalities in the combination of MCV and MCH indicators, and 423 samples were missed in blood routine screening, with a missed detection rate of 14.07% (423/3 007). The missed samples were mainly α static type, accounting for 89.13% (377/423) of the total missed samples. The screening sensitivity of MCV combined with MCH for α-, β- and αβ-compound type thalassemia was 82.65%, 98.07% and 98.15%, respectively. Conclusion:The types of genetic mutations in thalassemia in Sanya City are complex and diverse, and there are certain omissions in the blood routine screening of MCV combined with MCH.

Background Macrophages are essential components of the natural immune system. They play a significant role in resisting foreign bodies in the respiratory tract and maintaining the homeostasis of the internal environment of lung tissue. Objective To investigate the mechanism of macrophage pyroptosis induced by silica dust with different particle sizes. Methods The modified murine macrophage cell line, RAW-ASC cells, was cultured and divided into a blank control group, a lipopolysaccharide (LPS) group (1 μg·mL⁻¹ LPS), a nano-SiO₂ group (1 μg·mL⁻¹ LPS+100 μg·mL⁻¹ nano-SiO₂), a micro-SiO₂ group (1 μg·mL⁻¹ LPS+750 μg·mL⁻¹ micro-SiO₂), and a positive control group [1 μg·mL⁻¹ LPS+3 mmol·L⁻¹ adenosine triphosphate (ATP)]. Apart from the blank control group, cells in other groups were pretreated with LPS for 6 h, and then exposed to SiO₂ or ATP for 4 h. According to the molecular target NOD-like receptor pyrin domain-containing protein 3 (NLRP3) and reactive oxygen species (ROS), we applied MCC950 (NLRP3 inhibitor) and N-acetyl cysteine (NAC, ROS scavenger) to macrophages. CCK-8 assay was used to detect cell viability; 5-ethynyl-2'-deoxyuridine (EdU) staining was used to detect cell proliferation; lactate dehydrogenase (LDH) assay kit was used to detect LDH in supernatant; calcein AM/PI fluorescent double-staining was applied to evaluate cell rupture; 2',7'-dichlorofluorescin diacetate (DCFH-DA) fluorescent probe was used to measure the content of ROS; Western blotting was used to measure the expressions of NLRP3, apoptosis-associated speck-like protein containing CARD (ASC), Caspase-1, gasdermin D (GSDMD), and interleukin-1β (IL-1β). Results Compared with the blank group, 100 μg·mL^-1nano-SiO₂ and 750 μg·mL^-1micro-SiO₂ dust exposure reduced the cell viability to 40% and 68% (P<0.05), and the cell proliferation rate to 30% and 33% (P<0.01), respectively; they also induced cell lysis and ROS release, upregulated NLRP3, ASC, Caspase-1, GSDMD, and IL-1β at protein level (P<0.05), and induced macrophage pyroptosis. After intervening with MCC950 (10 μmol·L^-1) and NAC (10 mmol·L^-1), the expressions of NLRP3, ASC, Caspase-1, and IL-1β decreased (P<0.05), and, specifically, NAC effectively reduced ROS levels (P<0.05). Conclusion Both nano- and micro-SiO₂ dust have cytotoxicity, can upregulate ROS level, activate NLRP3 inflammasome, and promote the release of cytokines, leading to pyroptosis. These results are helpful to reveal the molecular mechanism of macrophage pyroptosis induced by SiO₂ dust.

【Objective】 To study the annual financial expenditure in blood stations with different scales, and to establish the regression equation between blood collection units and total expenditure. 【Methods】 The annual total expenditure, the per capita cost of serving population, as well as the collection units of whole blood and apheresis platelet of 24 blood stations were collected. The financial expenditure required for collecting 10 000U blood was calculated.The statistical analysis was carried out with SPSS statistical software. 【Results】 From 2017 to 2020, the total annual financial expenditure of 24 blood stations showed an upward trend. The total expenditure among blood stations was different. The per capita cost of servicing population in the areas where the 24 blood stations were located had been increasing year by year. The 24 blood stations were divided into two grades according to the blood collection volume as 50 000 U, and the relationship equation between the blood collection volume and the annual total expenditure had been established. After testing, each equation was effective(P<0.05); There was no difference in the financial expenditure required for collecting 10 000U blood among blood stations with different scales. 【Conclusion】 From 2017 to 2020, the blood stations with an annual collection volume more than 50 000 U demonstrated a higher financial expenditure and the per capita cost of serving population than those <50 000 U. The blood collection volume of blood stations is significantly correlated with the annual total expenditure and the per capita cost of serving population.