Objective To build the early predictive model for chronic kidney disease(CKD)in hypertension and diabetes patients in the community.Methods The CKD patients were recruited from 4 health care centers in 4 urban areas in Kunming.The control group was residents without hypertension and diabetes(n = 1267).The disease group was residents with hypertension and/or diabetes(n = 566).The questionnaire survey,physical examination,laboratory testing,and 5 SNPs gene types in the PVT1 gene.The risk factors,which were filtered with logistics regression,were used to build predictive models.Four machine learning algorithms were built:support vector machine(SVM),random forest(RF),Na?ve Bayes(NB),and artificial neural network(ANN)models.Results Thirteen indicators included in the final diagnostic model:age,disease type,ethnicity,blood urea nitrogen,creatinine,eGFR from MDRD,ACR,eGFR from EPI2009,PAM13 score,sleep quality survey,staying-up late,PVT1 SNP rs11993333 and rs2720659.The accuracy,specificity,Kappa value,AUC of ROC,and PRC of ANN are greater than those of the other 3 models.The sensitivity of RF is the highest among 4 types of machine learning.Conclusions The ANN predictive model has a good ability of efficiency and classification to predict CKD with hypertension and/or diabetes patients in the community.

ObjectiveTo investigate the contamination status of Staphylococcus aureus in food and the presence of enterotoxin genes in Jiading District， Shanghai， and to provide a basis for the prevention and treatment of foodborne Staphylococcus aureus disease. MethodsFrom 2021 to 2023， 15 types of food were sampled for S. aureus testing， and the presence of five enterotoxin genes， including sea⁃see， was tested in the strains. ResultsOut of 705 food samples， 88 （12.48%） were positive for S. aureus. S. aureus was detected in 12 of the 15 food types， with the three food types with the highest positive rates being cold noodles （45.00%）， raw poultry （26.25%）， and vegetable salads （20.00%）. The enterotoxin gene carriage rate was 32.95% in food strains. The carriage rates for sea， seb， and sec were 7.95%， 12.50%， and 14.77%， respectively. Neither sed nor see was detected. The detection rate of strains carrying two types of enterotoxin genes was 2.27%. The enterotoxin carriage rates in strains from vegetables， beverages， and raw meat were 57.14%， 40.00%， and 30.00%， respectively. ConclusionThe S. aureus detection rate in food in Jiading District is much higher than the national average. The enterotoxin gene carriage rates are high， with food strains carrying sea， seb， and sec， with sec being the most prevalent. There is a need to enhance monitoring of S. aureus and enterotoxins， especially in high-risk foods such as noodles， vegetables， and non-packaged beverages.

Objective:To construct and validate a nomogram model for predicting the risk of 28-day mortality in sepsis patients.Methods:A retrospective cohort study was conducted. 281 sepsis patients admitted to the department of intensive care unit (ICU) of the 940th Hospital of the Joint Logistics Support Force of PLA from January 2017 to December 2022 were selected as the research subjects. The patients were divided into a training set (197 cases) and a validation set (84 cases) according to a 7∶3 ratio. The general information, clinical treatment measures and laboratory examination results within 24 hours after admission to ICU were collected. Patients were divided into survival group and death group based on 28-day outcomes. The differences in various data were compared between the two groups. The optimal predictive variables were selected using Lasso regression, and univariate and multivariate Logistic regression analyses were performed to identify factors influencing the mortality of sepsis patients and to establish a nomogram model. Receiver operator characteristic curve (ROC curve), calibration curve, decision curve analysis (DCA), and clinical impact curve (CIC) were used to evaluate the nomogram model.Results:Out of 281 cases of sepsis, 82 cases died with a mortality of 29.18%. The number of patients who died in the training and validation sets was 54 and 28, with a mortality of 27.41% and 33.33% respectively. Lasso regression, univariate and multivariate Logistic regression analysis screened for 5 independent predictors associated with 28-day mortality. There were use of vasoactive drugs [odds ratio ( OR) = 5.924, 95% confidence interval (95% CI) was 1.244-44.571, P = 0.043], acute physiology and chronic health evaluation Ⅱ (APACHEⅡ: OR = 1.051, 95% CI was 1.000-1.107, P = 0.050), combined with multiple organ dysfunction syndrome (MODS: OR = 17.298, 95% CI was 5.517-76.985, P < 0.001), neutrophil count (NEU: OR = 0.934, 95% CI was 0.879-0.988, P = 0.022) and oxygenation index (PaO 2/FiO 2: OR = 0.994, 95% CI was 0.988-0.998, P = 0.017). A nomogram model was constructed using the independent predictive factors mentioned above, ROC curve analysis showed that the AUC of the nomogram model was 0.899 (95% CI was 0.856-0.943) and 0.909 (95% CI was 0.845-0.972) for the training and validation sets respectively. The C-index was 0.900 and 0.920 for the training and validation sets respectively, with good discrimination. The Hosmer-Lemeshoe tests both showed P > 0.05, indicating good calibration. Both DCA and CIC plots demonstrate the model's good clinical utility. Conclusions:The use of vasoactive, APACHEⅡ score, comorbid MODS, NEU and PaO 2/FiO 2 are independent risk factors for 28-day mortality in patients with sepsis. The nomogram model based on these 5 indicators has a good predictive ability for the occurrence of mortality in sepsis patients.

Objective:The status quo and related factors of human papillomavirus (HPV) infection in multiple parts of men who have sex with men (MSM) in Tianjin were analyzed.Methods:Using the cross-sectional survey method, a total of 600 MSM were recruited in Tianjin from September to December 2023, including 200 (18-26 years old), 300 (27-45 years old), and 100 (≥46 years old) stratificaed by age group. Questionnaire survey was used to collect knowledge and behavioral information related to demography and STD prevention and treatment. Exfoliated cells from genital, perianal and oral cavity were collected for HPV typing detection. Logistic regression model was used to analyze the related factors of HPV infection.Results:The infection rate of HPV was 53.67% (322/600) in MSM, with high-risk type as 41.17% (247/600), low-risk type as 27.17% (163/600). The infection rate of HPV in both multiple and single types was 26.83% (161/600).The infection rates of genotypes covered by nine-valent HPV vaccine, quadrivalent HPV vaccine and bivalent HPV vaccine were 36.83% (221/600), 25.17% (151/600) and 9.50% (57/600), respectively.The infection rates of genital HPV, high-risk or low-risk types were 24.67% (148/600), 16.67% (100/600) and 11.00% (66/600), respectively. The infection rates of perianal HPV, high-risk or low-risk types were 42.00% (252/600), 30.17% (181/600) and 20.50% (123/600), respectively. The infection rates of oral HPV high-risk and low-risk types were 3.17% (19/600), 2.33% (14/600) and 1.17% (7/600), respectively. Divorce or widowhood (a OR=2.38, 95% CI: 1.26-4.50), history of homosexual anal intercourse in the past 6 months (a OR=2.28, 95% CI: 1.00-5.50), and use of dependent drugs (including new psychoactive substances) (a OR=1.62, 95% CI: 1.02-2.58) were risk factors for genital HPV infection. College degree/university degree or above (a OR=0.36, 95% CI: 0.16-0.81) was a protective factor for perianal HPV infection, and a history of drug dependence (a OR=1.85, 95% CI: 1.19-2.88) was a risk factor. Conclusions:MSM in Tianjin was a high-risk group for HPV infection, and the HPV infection in the perianal area was more severe than in the genital area and oral area.Marital status, education level, history of homosexual anal sex in the past 6 months, and history of drug dependence were related factors of HPV infection among MSM.

OBJECTIVE: To explore the genetic basis for fetus with bilateral lateral ventriculomegaly. METHODS: Fetus umbilical cord blood and peripheral blood samples of its parents were collected. The fetus was subjected to chromosomal karyotyping, whilst the fetus and its parents were subjected to array comparative genomic hybridization (aCGH). The candidate copy number variation (CNV) were verified by qPCR, Application goldeneye DNA identification system was used to confirm the parental relationship. RESULTS: The fetus was found to have a normal karyotype. aCGH analysis indicated that it has carried a 1.16 Mb deletion at 17p13.3, which partially overlapped with the critical region of Miller-Dieker syndrome (MDS), in addition with a 1.33 Mb deletion at 17p12 region, which is associated with hereditary stress-susceptible peripheral neuropathy (HNPP). Its mother was also found to harbor the 1.33 Mb deletion at 17p12. qPCR analysis confirmed that the expression levels of genes from the 17p13.3 and 17p12 regions were about the half of that in the normal control, as well as the maternal peripheral blood sample. Parental relationship was confirmed between the fetus and its parents. Following genetic counseling, the parents has chosen to continue with the pregnancy. CONCLUSION The fetus was diagnosed with Miller-Dieker syndrome due to the de novo deletion at 17p13.3. Ventriculomegaly may be an important indicator for prenatal ultrasonography in fetuses with MDS.
Pregnancy ; Female ; Humans ; Classical Lissencephalies and Subcortical Band Heterotopias ; Comparative Genomic Hybridization ; DNA Copy Number Variations ; Fetus ; Hydrocephalus ; Prenatal Diagnosis ; Chromosome Deletion

OBJECTIVE: To explore the genetic etiology of two patients with developmental delay and intellectual disability. METHODS: Two children who were respectively admitted to Henan Provincial People's Hospital on August 29, 2021 and August 5, 2019 were selected as the study subjects. Clinical data were collected, and array comparative genomic hybridization (aCGH) was carried out on the children and their parents for the detection of chromosomal microduplication/microdeletions. RESULTS: Patient 1 was a 2-year-and-10-month female and patient 2 was a 3-year-old female. Both children had featured developmental delay, intellectual disability, and abnormal findings on cranial MRI. aCGH revealed that patient 1 has harbored arr[hg19] 6q14.2q15(84621837_90815662)×1, a 6.19 Mb deletion at 6q14.2q15, which encompassed ZNF292, the pathogenic gene for Autosomal dominant intellectual developmental disorder 64. Patient 2 has harbored arr[hg19] 22q13.31q13.33(46294326_51178264)×1, a 4.88 Mb deletion at 22q13.31q13.33 encompassing the SHANK3 gene, haploinsufficiency of which can lead to Phelan-McDermid syndrome. Both deletions were classified as pathogenic CNVs based on the guidelines of American College of Medical Genetics and Genomics (ACMG) and were not found in their parents. CONCLUSION The 6q14.2q15 deletion and 22q13-31q13.33 deletion probably underlay the developmental delay and intellectual disability in the two children, respectively. Haploinsufficiency of the ZNF292 gene may account for the key clinical features of the 6q14.2q15 deletion.
Humans ; Child ; Female ; Child, Preschool ; Intellectual Disability/genetics* ; Comparative Genomic Hybridization ; Chromosome Disorders/genetics* ; Chromosome Deletion ; Magnetic Resonance Imaging ; Chromosomes, Human, Pair 22 ; Developmental Disabilities/genetics* ; Carrier Proteins/genetics* ; Nerve Tissue Proteins/genetics*

BACKGROUND: Studies have shown that the incidence and severity of corona virus disease 2019 (COVID-19) in patients with lung cancer are higher than those in healthy people. At present, the main anti-tumor treatments for lung cancer include surgery, immunotherapy, chemotherapy, radiotherapy, targeted therapy and anti-angiogenesis therapy. While the effects of different anti-tumor treatments on the occurrence and severity of COVID-19 pneumonia are not uniform. Therefore, we aimed to describe clinical characteristics and antitumor therapy of patients with lung cancer and COVID-19 pneumonia, and examined risk factors for severity in this population. METHODS: From December 1, 2022 to February 15, 2023, a retrospective study was conducted in 217 patients diagnosed with COVID-19 and pathologically confirmed lung cancer in the Jinling Hospital. We collected data about patients' clinical features, antitumor treatment regimen within 6 months, and the diagnosis and treatment of COVID-19. Risk factors for occurrence and severity of COVID-19 pneumonia were identified by univariable and multivariable Logistic regression models. RESULTS: (1) Among the 217 patients included, 51 (23.5%) developed COVID-19 pneumonia, of which 42 (82.4%) were classified as medium and 9 (17.6%) were classified as severe; (2) Univariate and multivariate analysis revealed overweight (OR=2.405, 95%CI: 1.095-5.286) and intrapulmonary focal radiotherapy (OR=2.977, 95%CI: 1.071-8.274) are risk factors for increasing occurrence of COVID-19 pneumonia, while other therapies are not; (3) Chronic obstructive pulmonary disease (COPD) history (OR=7.600, 95%CI: 1.430-40.387) was more likely to develop severe pneumonia and anti-tumor therapies such as intrapulmonary focal radiotherapy, chemotherapy, targeted therapy and immunotherapy did not increase severity. CONCLUSIONS Intrapulmonary focal radiation therapy within 6 months increased the incidence of COVID-19 pneumonia, but did not increase the severity. However, there was no safety concern for chemotherapy, targeted therapy, surgery and immunotherapy.
Humans ; COVID-19 ; Retrospective Studies ; Lung Neoplasms/drug therapy* ; Incidence ; Pneumonia/etiology*

OBJECTIVE: To analyze the 28-day survival status and influencing factors of adult patients with sepsis, providing reference for early diagnosis of sepsis prognosis and reducing sepsis mortality. METHODS: A retrospective cohort study was conducted. A total of 160 adult patients with sepsis in the department of intensive care unit of the 940th Hospital of Joint Logistic Support Force of PLA from January 2021 to December 2022 were enrolled. The general information, laboratory examination results within 24 hours after admission, clinical treatment measures, and prognosis of patients were collected. Univariate analysis and binary multivariate Logistic regression were performed to screen the risk factors that might affect the short-term prognosis of patients with sepsis. Receiver operator characteristic curve (ROC curve) was plotted to analyze the predictive value of various risk factors on the short-term death risk of sepsis patients. RESULTS: A total of 160 patients with sepsis were enrolled, of whom 91 survived in 28 days, and 69 died with a mortality of 43.12%. Compared with the survival group, the patients in the death group were older, more severe, had higher blood lactic acid (Lac) level, and had more complications such as hypertension and multiple organ dysfunction syndrome (MODS). A total of 22 related factors were statistically significant: age, acute physiology and chronic health evaluation II (APACHE II) score, sequential organ failure assessment (SOFA) score, length of hospital stay, Lac, interleukin-6 (IL-6), fibrinogen (FIB), international normalized ratio (INR), ratio of prothrombin time (PT) to healthy people, prothrombin activity (PTA), PT, thrombin time (TT), oxygenation index (PaO₂/FiO₂), aspartate aminotransferase (AST), ratio of AST to alanine amninotransferase (ALT), serum creatinine (SCr), blood urea nitrogen (BUN), site of infection, history of hypertension, concurrent MODS, implementation of continuous renal replacement therapy (CRRT), and treatment with vasoactive drugs. Combined with the results of the univariate analysis, variables that might affect the short-term prognosis of septic patients were included in the multivariate Logistic regression analysis. The results showed that APACHE II score ≥ 20 [odds ratio (OR) = 1.106, 95% confidence interval (95%CI) was 1.003-1.219], Lac ≥ 5 mmol/L (OR = 1.430, 95%CI was 1.041-1.964), combined with hypertension (OR = 13.879, 95%CI was 1.082-178.016), concurrent MODS (OR = 98.139, 95%CI was 18.252-527.672) was an independent risk factor for 28-day death in adult septic patients (all P < 0.05). ROC curve analysis showed that the combination of the four indicators including APACHE II score, Lac, combined with hypertension, concurrent MODS, had predictive value for short-term outcomes in patients with sepsis. The area under the ROC curve (AUC) was higher than that of the 4 indicators alone [AUC (95%CI): 0.952 (0.918-0.986) vs. 0.745 (0.670-0.820), 0.816 (0.748-0.883), 0.608 (0.518-0.699), 0.868 (0.810-0.927)], the sensitivity was 94.2%, and the specificity was 90.1%. CONCLUSIONS APACHE II score within 24 hours, Lac, combined with hypertension, and concurrent MODS are independent risk factors for short-term mortality in adult septic patients in ICU. The combination of these indicators can make meaningful early clinical judgments on the short-term prognosis of septic patients, thereby reducing the mortality.
Adult ; Humans ; Retrospective Studies ; ROC Curve ; Sepsis/diagnosis* ; Prognosis ; Intensive Care Units ; Risk Factors ; Hypertension

Laelapinae mites are involved in transmission of microbial diseases between wildlife and humans, with an impact on public health. In this study, 5 mite members in the subfamily Laelapinae (laelapin mites; LM) were morphologically identified by light microscopy, and the phylogenetic relationship of LM was analyzed in combination with the sequence information of part of the LM cytochrome oxidase subunit I (cox1) gene. The morphological identification revealed that 5 mites belonged to the genera Laelaps and Haemolaelaps, respectively. Sequence analysis showed that the ratio of non-synonymous mutation rate to synonymous mutation rate of LM was less than 1, indicating that the LM cox1 gene had undergone purifying selection. Phylogenetic analysis showed that the Laelapinae is a monophyletic group. The genera Haemolaelaps and Hyperlaelaps did not separated into distinct clades but clustered together with species of the genus Laelaps. Our morphological and molecular analyses to describe the phylogenetic relationships among different genera and species of Laelapinae provide a reference for the improvement and revision of the LM taxonomy system.

Objective To investigate the value of different immune and inflammatory indices in predicting the survival outcome of patients with intrahepatic cholangiocarcinoma (ICC) after curative-intent resection. Methods A retrospective analysis was performed for the case data of 122 patients with ICC who underwent curative-intent resection in Affiliated Hospital of Weifang Medical University and Tianjin Medical University Cancer Institute and Hospital from January 2012 to December 2017 to analyze the correlation of neutrophil-lymphocyte ratio (NLR), lymphocyte-monocyte ratio (LMR), systemic immune-inflammation index (SII), prognostic inflammation index (PII), inflammation score (IS), and systemic inflammation score (SIS) with the disease-free survival (DFS) and overall survival of ICC patients after surgery, and the value of the above indices in predicting prognosis was evaluated. The chi-square test or the Fisher's exact test was used for comparison of categorical data between groups. The Kaplan-Meier method was used to plot survival curves, and the Log-rank test was used for comparison between groups; the Cox regression model was used for univariate and multivariate analyses, and hazard ratio ( HR ) and 95% confidence interval [ CI ] were calculated. Results The univariate survival analysis showed that NLR ( HR =2.212, P =0.004), LMR ( HR =0.403, P =0.012), PII ( HR =3.013, P < 0.001), prognostic nutritional index (PNI) ( HR =0.530, P =0.019), IS ( HR =1.809, P =0.001), SII ( HR =2.107, P =0.002), and SIS ( HR =2.225, P < 0.001) were predictive factors for postoperative DFS of patients with ICC, and NLR ( HR =2.416, P =0.009), LMR ( HR =0.297, P =0.008), PII ( HR =3.288, P < 0.001), PNI ( HR =0.292, P =0.003), IS ( HR =2.048, P =0.002), SII ( HR =1.839, P =0.049), and SIS ( HR =2.335, P < 0.001) were predictive factors for postoperative OS of patients with ICC. The multivariate survival analysis showed that high levels of PII ( HR =2.146, P =0.035) and SIS ( HR =2.511, P < 0.001) were independent influencing factors for postoperative DFS of ICC patients, and high levels of PII ( HR =2.981, P =0.009), PNI ( HR =0.261, P =0.002), and SIS ( HR =2.294, P =0.010) were independent influencing factors for postoperative OS. The patients with a high level of PII tended to have advanced tumor T stage ( χ 2 =8.777, P =0.003) and M stage ( P =0.029), and the patients with high-grade SIS tended to have advanced N stage ( χ 2 =9.985, P =0.030) and M stage ( χ 2 =8.574, P =0.012). Conclusion Among the various inflammation indices, PII and SIS are recommended for preoperative stratification and prediction of the outcome of ICC patients after curative-intent resection.