Objective:To investigate the value of multi-parametric analysis based on dual-layer detector spectral CT (DLCT) in predicting the initial recurrence risk for papillary thyroid carcinoma (PTC).Methods:From November 2021 to October 2022, 102 PTC patients confirmed by pathology were retrospectively collected at the First Affiliated Hospital of Nanjing Medical University in this cross-sectional study. There were 25 males and 77 females, with an age of (42±13) years old. The initial recurrence risk assessment for PTC patients was categorized into a low-risk group (75 cases) and an intermediate-high-risk group (27 cases). Clinical data, including age, gender, body mass index, history of nodular goiter, history of Hashimoto thyroiditis, and preoperative thyroid function, were collected. Tumor morphological features, including size, location, shape, aspect ratio, the degree of thyroid capsule contact, calcification, and cystic change, were evaluated. Quantitative DLCT parameters, including iodine concentration (IC), standardized iodine concentration (NIC), effective atomic number (Z eff), standardized effective atomic number (NZ eff), electronic density (ED), CT values under different energy levels (40-200 keV, 30 keV intervals) and slope of energy spectrum curve (λ HU) both in the arterial and venous phase were measured. The differences in clinical, morphological features, and spectral CT quantitative parameters between the two groups were compared using independent sample ttest, Mann-Whitney U test, or χ2 test. Multivariate logistic regression analyses were used to construct three models based on clinical and morphological features, quantitative DLCT parameters and their combination, respectively. The receiver operating characteristic curve was used to evaluate the predictive performance of these models for the initial recurrence risk of PTC patients, and the area under the curve (AUC) was compared using the DeLong test. Results:Significant differences were found in gender, lesion long diameter, lesion short diameter and calcification between the low-risk group and intermediate-high-risk groups ( P<0.05). The arterial phase IC, arterial phase Z eff, arterial phase λ HU, arterial phase CT 40 keV, venous phase NIC and venous phase NZ eff in intermediate-high-risk group were significantly lower than those in the low-risk group ( P<0.05). The logistic regression analysis revealed that the clinical model included gender ( OR=2.895, 95% CI 1.047-8.002, P=0.040) and lesion long diameter ( OR=1.142, 95% CI 1.042-1.251, P=0.004), with an AUC of 0.720, sensitivity of 63.0%, and specificity of 78.7% in predicting the initial recurrence risk of PTC patients. The DLCT quantitative parameter model included arterial phase IC ( OR=0.580, 95% CI 0.370-0.908, P=0.017), venous phase NIC ( OR=0.077, 95% CI 0.011-0.536, P=0.010), and venous phase NZ eff ( OR=0.002, 95% CI 0.001-0.103, P=0.009), with an AUC of 0.774, sensitivity of 71.9%, and specificity of 70.0%. The AUC of the combined model was 0.857, with a sensitivity of 74.1%, and specificity of 88.0%, outperforming the clinical model ( Z=2.92, P=0.004) and the DLCT quantitative parameter model ( Z=2.07, P=0.046). Conclusion:Multi-parametric analysis based on DLCT can help predict the initial recurrence risk for PTC, and combining it with clinical and morphological features, the predictive accuracy can be improved.

Objective:To evaluate the screening efficacy of AI for bone marrow cell morphology.Method:Bone marrow specimens of patients attending the Second Hospital of Hebei Medical University from December 1,2019 to December 21,2020;(1) Selected from one hundred bone marrow specimens, The cases included chronic myeloid cell leukemia ( n=23), myelodysplastic syndrome ( n=4), chronic lymphocytic leukemia ( n=4), multiple myeloma ( n=5), 7 acute leukemia ( n=7), chronic anemia ( n=32), infection ( n=6) and healthy control ( n=15). Including 45 males and 55 females, with age 52(37,66)years old.The bone marrow smear prepared with Wright-Giemsa, The AI analysis system and manual audit were applied to classify 13 types of bone marrow nucleated cell, taking the results of manual audit as the gold standard, comparing the difference between the results of the two methods, using statistical software to draw the confusion matrix, The compliance between the manual audit results and the pre-classification results of the AI analysis system was calculated by the Kappa consistency test method; The consistency analysis between the pre-classification results of AI and those of the manual microscopic examination was performed by the Pearson test; (2)Statistics analyzed the blast cell differential count differences of AI and manual microscopy, to evaluate the clinical application value of AI analysis system, which soured from thirty bone marrow samples of patients diagnosed with MDS and AML. Results:76 630 images of 13 nucleated cells were obtained by AI analysis system; the weighted average experimental diagnostic efficiency parameters of 13 types of bone marrow nucleated cells, are as follows: sensitivity(%)=95.82, specificity(%)=99.19, accuracy(%)=98.89, false positive rate(%)=0.81, false negative rate (%)=4.18; the correlation results, between the pre-classification results of AI and manual microscopic classification results,showed that blast cell, promyelocytes, neutrophilic myelocyte, neutrophilic metamyelocyte, band neutrophil, segmented neutrophi,eosinophil, basophil, polychromatic erythroblast, orthochromatic erythroblast, and lymphocytes have good positive correlation ( r>0.70,all P<0.001), while basophilic erythroblast and monocytes have no obvious correlation ( r=0.32,0.30, all P> 0.001); the count results of the blast cells in bone marrow smears of MDS and AML, got by AI and manual microscopy respectively, showed that the average percentage of blast cells was 8.19% by AI and 8.68% by manual microscopy in MDS, there was no significant difference between the two methods ( P>0.05); the average percentage of blast cells was 48.52% by AI analysis system and 53.77% by manual microscopy in AML, and although there was a significant difference in blast cell count ( P<0.01), coincidence the classification diagnostic criteria for AML (blast cells ≥ 20%). Conclusion:The AI analysis system performed good sensitivity, specificity and accuracy for 13 types of bone marrow nucleated cells, which showed potential application value for the rapid classification and diagnosis of MDS and AML.

Objective:To explore the clinical effects of plantar split-thickness skin grafts in repairing the deep burn wounds in the back and buttocks.Methods:A retrospective observational study was conducted. From January 2011 to February 2022, 98 patients with deep burn who met the inclusion criteria were admitted to the 910 th Hospital of Joint Service Support Unit of PLA, including 64 males and 34 females, aged 17 to 78 years, with total burn areas of 35%-95% total body surface area (TBSA). The area of full-thickness burns in the back and buttocks ranged from 5% to 17% TBSA and the wounds were repaired only using stamp-shaped split-thickness skin grafts from plantar areas of both feet or combined with Meek microskin grafts or stamp-shaped skin grafts from other sites. According to the times of skin graft harvesting from both soles, these patients were divided into one-harvesting group (29 cases), two-harvesting group (38 cases), three-harvesting group (21 cases), and four-harvesting group (10 cases). The area of skin grafts harvested each time from both soles, the healing time of donor sites after each skin graft harvesting, and the survival rate of plantar skin graft in recipient site at 7 days after each skin graft harvesting in 98 patients, the interval between two adjacent skin graft harvesting in 69 patients with skin grafts harvested twice or more, as well as the healing time of donor site and survival rate of skin graft in recipient site after the last skin graft harvesting from both soles of patients in the 4 groups were recorded. The patients were followed up to observe the appearance, texture, and scar in recipient site of plantar skin grafts as well as the scar and function in plantar donor sites. Data were statistically analyzed with one-way analysis of variance, Kruskal-Wallis test, and chi-square test. Results:In the 98 patients, the area of skin graft was 2.0%-4.5% ((3.4±0.6)%) TBSA harvested each time from both soles, the healing time of donor site after each skin graft harvesting was 7-10 (7.8±1.1) d, and the survival rate of plantar skin graft in recipient site at 7 days after each skin graft harvesting was 93% (92%, 95%). The interval between two adjacent skin graft harvesting in the 69 patients was 7-38 (11.2±0.5) d. The healing time of donor site and survival rate of skin graft in recipient site after the last skin graft harvesting from both soles of patients in the 4 groups showed no statistically significant differences ( P>0.05). A total of 88 patients were followed up for 3 months to 5 years, the appearance in recipient site of plantar skin graft was smooth, the texture was firm, the scar hyperplasia was mild, and the area was compressive- and wear-resistant. Among them, the plantar donor site recovered well in 85 patients, without obvious scar hyperplasia and only 3 patients had small area of scar hyperplasia in the non-weight-bearing areas which did not affect walking or wearing shoes or socks. Ten patients were lost in the follow up after discharge. Conclusions:Stamp-shaped split-thickness skin grafts can be repeatedly harvested from both soles of patient to repair the deep burn wounds in the back and buttocks, with high survival rate of skin grafts, thus can reduce the burden of other donor sites. Moreover, the skin grafts have good wear-resistance and pressure-resistance, without affecting postoperative normal walk.

OBJECTIVES: With the continuous generation of new variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the pressure of epidemic prevention and control continues to increase in China. Omicron with stronger infectiousness, immune escape ability and repeated infection ability spread to many countries and regions around the world in a short period of time. China has also successively reported cases of imported Omicron infections. This study aims to understand the epidemiological characteristics of Omicron variant via analyzing the epidemiological characteristics of imported patients with Omicron in Hunan Province, and to provide reference for preventing and controlling the imported epidemics. METHODS: The clinical data of imported patients with coronavirus disease 2019 admitted to Hunan Province from December 16 to December 31, 2021 were retrospectively collected. The epidemiological information, general information, clinical classification, clinical symptoms, vaccination status, and lung CT were analyzed. Nasopharyngeal swabs and blood samples were collected. Virus nucleic acid was detected by magnetic beads method using SARS-CoV-2 detection kit. Ct values of ORF1ab gene and N gene were compared between asymptomatic infected patients and confirmed patients. The specific IgM and IgG antibodies were detected by chemiluminescence assay using SARS-CoV-2 IgM test kit and SARS-CoV-2 IgG test kit, respectively. Ct values of IgM and IgG antibodies were compared between asymptomatic infected patients and confirmed patients. RESULTS: Seventeen patients with Omicron variant infection were treated in Hunan, including 15 confirmed patients (5 common type and 10 mild type) and 2 asymptomatic infection patients. The 17 patients were all Chinese, they were generally young, and 16 were male. There were 9 patients with diseases. Of them 3 patients had respiratory diseases. All 17 patients had completed the whole process of vaccination, but only one person received a booster shot of SARS-CoV-2 vaccine. The clinical manifestations of the patients were mild, mainly including dry/painful/itchy throat, cough, and fatigue. The total protein and creatine in the asymptomatic infection and confirmed cases infected with Omicron variant were all within the normal range, but other biochemical indicators were abnormal. There were the significant differences in C-reactive protein and fibrinogen between asymptomatic infection and confirmed patients (both P<0.05). There were more patients with elevated C-reactive protein in confirmed patients than without confirmed ones. The detection rate of specific IgM and IgG antibodies on admission was 100%, and there was no significant difference in the specific antibody levels between asymptomatic infection and confirmed patients (P>0.05). There were no significant differences in Ct values of ORF1ab gene and N gene (21.35 and 18.39 vs 19.22 and 15.67) between the asymptomatic infection and the confirmed patients (both P>0.05). Only 3 patients had abnormal lung CT, showing a small amount of patchy and cord-like shadows. One of them had no abnormality on admission but had pulmonary lesions and migratory phenomenon after admission. CONCLUSIONS The patients with Omicron variant tend to be young people and have milder clinical symptoms, but the viral load is high and the infectiveness is strong. Therefore, the timely identification and effective isolation and control for asymptomatic infections and confirmed patients with mild symptoms are extremely important. In terms of epidemic prevention and control, the government still needs to strengthen the risk control of overseas input, adhere to normalized epidemic prevention and control measures, to effectively control the source of infection, cut off the route of transmission, and protect vulnerable people.
Asymptomatic Infections ; C-Reactive Protein ; COVID-19/virology* ; COVID-19 Vaccines ; China/epidemiology* ; Female ; Humans ; Immunoglobulin G ; Immunoglobulin M ; Male ; Retrospective Studies ; SARS-CoV-2

Objective:To investigate the prevalence of hyperuricemia (HUA), patients′ awareness of HUA, and related factors among elderly in community.Methods:The health check-up data of 6 897 residents aged over 65 years in Gumei Community of Shanghai were collected from January 2019 to January 2020. There were 1 156 subject with increased serum uric acid levels (HUA group) and 5 741 with normal uric acid levels (non-HUA group). The differences of clinical indicators between HUA group and non-HUA group were analyzed and the risk factors of HUA was determined by multivariate logistic stepwise regression. A questionnaire survey on the knowledge of HUA and the adoption of relevant health behaviors was conducted among HUA patients.Results:The overall prevalence was 16.8% (1 156/6 897) in this population. The prevalence in males was significantly higher than that in females[26.4%(842/3 195) vs. 8.5%(314/3 702), P<0.001); and the prevalence in females increased with age (χ 2=7.56, P=0.023). Body mass index(BMI), waist circumference(WC), total cholesterol(TC), triglyceride(TG), serum creatinine, alanine aminotransferase(ALT) and albumin/urine creatinine ratio(UACR) in the HUA group were significantly higher than those in the non-HUA group, while estimated glomerular filtration rate(eGFR) and high-density lipoprotein(HDL) were lower than those in the non-HUA group (all P<0.01). The prevalence of hypertension, decreased renal function, overweight or obesity, abdominal obesity, fatty liver and renal cyst in HUA group was significantly higher than that in non-HUA group (all P<0.01). High values of TG, low-density lipoprotein(LDL), WC, hypertension and fatty liver were risk factors for HUA( OR=1.14, 1.20, 1.03, 1.43, 2.19; P<0.01); while female gender, eGFR, HDL and glycosylated hemoglobin A1c(HbA1c) were protective factors for HUA( OR=0.32, 0.94, 0.65, 0.78; P<0.01). The questionnaire survey was conducted among 1 090 HUA patients, and the results showed that 73.2% (798 cases) were aware of the disease after the health check-up results released; only 30.9% (337 cases) knew the diagnostic criteria of HUA, 21.1% (230 cases) knew that HUA needed life-long follow-up care, 56.3% (614 cases), 49.2% (536 cases) and 47.9% (522 cases) thought that HUA should eat less seafood, broth and soya bean products, 17.0%(185 cases) were atcohol drinker and the awareness rates of above questions in patients with gout were higher than those in patients without gout ( P<0.05). Conclusion:The study shows that the prevalence of HUA among the elderly in Gumei community of Shanghai is high, and the HUA related knowledge levels and health behavior performance are not ideal, especially for HUA patients without gout, therefore health education should be strengthened for elderly residents in the community.

Objective:To analyze the laboratory detection methods and clinical characteristics of patients with 2019-nCoV Omicron variant infection, to realize the rapid identification and diagnosis of 2019-nCoV Omicron variants.Methods:Totally 80 overseas patients in First Hospital of Changsha from December 16 in 2021 to January 5 in 2022 were selected, the nucleic acids and mutant genes were detected by fluorescent PCR and genome sequencing, and the clinical characteristics of patients with 2019-nCoV Omicron variant infection were analyzed.Results:The specificity was 100% (58/58) and positive predictive value was 100% (21/21) respectively, the sensitivity was 95.5% (21/22), negative predictive value was 98.3% (58/59) by detected with fluorescent PCR. It was found that there were 45-50 nucleotide displacement sites in the genome and 25-30 amino acid mutation sites in S gene fragment by genome sequencing. Clinical analysis showed that mild cases were 59.1% (13/22) in layouts, without severe and critical cases. Ages were positively associated with the clinical classification (ρ=0.698, P<0.001), foundation infections were positively associated with the clinical classification (ρ=0.636, P<0.001). Conclusions:Patients with 2019-nCoV Omicron variant infection had a high viral load and long negative conversion time of nucleic acid. Ages and foundation infections were positively associated with the clinical classification. AST/ALT was higher in the early stage of the disease. Fluorescent PCR method can be used in rapid screening patients with 2019-nCoV Omicron variant infection.

We report a case of coronavirus disease 2019 (COVID-19) patient who was cured by oral administration of nirmatrelvir/ritonavir (Paxlovid). The patient was treated with Paxlovid after being first infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron BA.5 variant. On the 11th day after SARS-CoV-2 nucleic acid test turned negative, SARS-CoV-2 nucleic acid test was positive again, and the threshold of nucleic acid cycle number was equivalent to that of the first infection. The results of two whole gene sequencing showed that it was the same virus strain infection, suggesting that the case was re-positive. Without specific treatment, SARS-CoV-2 nucleic acid detection in nasopharyngeal swab turned negative. It is not uncommon for Paxlovid to recover after treating COVID-19, and most of the patients can recover without specific treatment. However, it is necessary to further study the mechanism that may lead to the recovery of SARS-CoV-2.
Humans ; COVID-19 ; SARS-CoV-2/genetics* ; Administration, Oral ; Nucleic Acids

Objective:To explore the diagnostic value of radiomics based on arterial-venous mixed images derived from dual-energy CT (DECT) data in diagnosis of cervical lymph nodes (LNs) metastasis of papillary thyroid cancer (PTC).Methods:From June 2017 to December 2018, eighty-four patients with preoperatively DECT scanning and pathologically confirmed PTC (129 non-metastatic LNs and 97 metastatic LNs) in the First Affiliated Hospital of Nanjing Medical University were included in this study. The clinical and imaging data of all patients were retrospectively analyzed. The training cohort consisted of 62 PTC cases with 156 LNs (91 non-metastatic LNs and 65 metastatic LNs). An independent validation cohort consisted of 22 PTC patients with 70 LNs (38 non-metastatic LNs and 32 metastatic LNs). Semi-automatic LNs segmentation was conducted on arterial-venous mixed images derived from DECT using Syngo.via Frontier Radiomics software. Totally 1 226 radiomics features were extracted from arterial-venous mixed images for each LN. The least absolute shrinkage and selection operator (LASSO) regression was applied for radiomics features selection and signature building. The logistic regression modeling was used to construct diagnostic models based on the CT image features of LNs (model 1), the radiomics signature (model 2) and the combination of the CT image features and radiomics signature (model 3). An intuitive nomogram was plotted for model 3. The ROC curve analyses and area under the curve (AUC) were performed to evaluate the diagnostic efficiency of the three models, with the performances compared using the Delong test.Results:Model 1 was developed with LNs shape, degree of enhancement, pattern of enhancement, calcification and extra nodal extension. Three arterial phase radiomics features were selected and used to establish radiomics signature using LASSO regression (model 2). Model 3 was developed with LNs size, shape, degree of enhancement and radiomics signature. In both the training and validation cohort, model 3 showed the best diagnostic performance (AUC=0.965, 0.933), followed by model 2 (AUC=0.947, 0.910), and both these two models significantly outperformed model 1 (AUC=0.850, 0.846) (training cohort, Z=4.066 and 3.758, P both<0.001; validation cohort, Z=2.871 and 1.998, P=0.017 and 0.042) respectively. Conclusion:The radiomics model based on arterial-venous mixed images derived from DECT data can realize effective diagnosis of LNs metastasis in patients with PTC; and the combination model of radiomics signature with CT image features can further improve the diagnostic accuracy.

The current document is based on a consensus reached by a panel of experts from the Chinese Society of Allergy and the Chinese Society of Otorhinolaryngology-Head and Neck Surgery, Rhinology Group. Chronic rhinosinusitis (CRS) affects approximately 8% of Chinese adults. The inflammatory and remodeling mechanisms of CRS in the Chinese population differ from those observed in the populations of European descent. Recently, precision medicine has been used to treat inflammation by targeting key biomarkers that are involved in the process. However, there are no CRS guidelines or a consensus available from China that can be shared with the international academia. The guidelines presented in this paper cover the epidemiology, economic burden, genetics and epigenetics, mechanisms, phenotypes and endotypes, diagnosis and differential diagnosis, management, and the current status of CRS in China. These guidelines—with a focus on China—will improve the abilities of clinical and medical staff during the treatment of CRS. Additionally, they will help international agencies in improving the verification of CRS endotypes, mapping of eosinophilic shifts, the identification of suitable biomarkers for endotyping, and predicting responses to therapies. In conclusion, these guidelines will help select therapies, such as pharmacotherapy, surgical approaches and innovative biotherapeutics, which are tailored to each of the individual CRS endotypes.
Adult ; Asian Continental Ancestry Group ; Biomarkers ; China ; Consensus ; Diagnosis ; Diagnosis, Differential ; Drug Therapy ; Eosinophils ; Epidemiology ; Epigenomics ; Genetics ; Humans ; Hypersensitivity ; Inflammation ; International Agencies ; Medical Staff ; Neck ; Phenotype ; Precision Medicine

Objective To evaluate the application of three-dimensional printing technique in surgical treatments on complex congenital heart diseases. Methods Two patients were enrolled with complex congenital heart diseases. The computerized tomography data were used to build the 3D architecture of cardiac anomalies. The White-Jet-Process technique was used to print the models with 1∶1 ratio in size. The models were used to make the treatment strategy making, young surgeon training and operation simulation. Results The full color and hollowed-out cardiac models with 1∶1 ration in size were printed successfully. They were transected at the middle point of vertical axis, which was conveniently to explore the intracardiac anomalies. However, for patient 1, the model lost the atrial septal defect. Taking the two models as references, operation group held preoperative consultation, operation simulation, and finally, the operation plans were determined for the two patients. Both the two operation were carried out smoothly. Conclusion Although the limitations of 3D printing still exist in the application for congenital heart diseases, making the preoperative plan and operation simulation via 3D cardiac model could enhance the understanding of following operation and procedure details, which could improve the tacit cooperation among operation group members. Furthermore, operation results also could be improved potentially. Therefore, the cardiac 3D printing should be popularized in clinic in the future.