Comparing Noninvasive Predictors of Neurosyphilis Among Syphilis Patients With and Without HIV Co-Infection Based on the Real-World Diagnostic Criteria: A Single-Center, Retrospective Cohort Study in China.

Diagnosis of neurosyphilis is currently based on the cerebrospinal fluid (CSF) assessments and CSF-Venereal Disease Research Laboratory (CSF-VDRL) is the traditional "gold standard." In the real world, CSF assessments and CSF-VDRL are not always available. This study aimed to identify noninvasive predictors of neurosyphilis based on real-world clinical parameters and diagnostic criteria in populations with different HIV status. In this retrospective cohort study, syphilis patients with different HIV statuses hospitalized for neurosyphilis screening were retrospectively recruited at an infectious disease hospital. Neurosyphilis was defined by real-world diagnostic criteria. Logistic regression and receiver operating characteristic curve analysis were used to investigate and evaluate predictors of neurosyphilis. In total, 528 patients were enrolled, including 143 syphilis patients without HIV infection and 385 HIV/syphilis-co-infected patients. One hundred twelve and 304 neurosyphilis patients were identified in the HIV-negative and HIV-positive groups, respectively. A high serum toluidine red unheated serum test (TRUST) titer was a robust predictor of neurosyphilis in all participants. An age ≥50 years old [adjusted odds ratio (aOR) = 5.062, 95% confidence interval (CI), 1.449-17.680] in the HIV-negative group and CD4+ T cell count <330/µL (<300 as reference, aOR = 0.552, 95% CI, 0.315-0.966) in the HIV-positive group were predictors of asymptomatic neurosyphilis. In real-world situations, for asymptomatic syphilis patients, relatively old age and a high serum TRUST titer in HIV-negative populations, and CD4+ T cells <330/µL and/or serum TRUST titer >1:64 in HIV-positive populations might predict neurosyphilis.

Case Report: Tropheryma whipplei Hide in an AIDS Patient With Pneumocystis Pneumonia.

Introduction:Pneumocystis pneumonia (PCP) is one of the most common opportunistic infections in HIV-infected patients. However, coinfection with Tropheryma whipplei is infrequent in AIDS patients with PCP. Case Presentation: We report a 28-year-old male AIDS patient coinfected with T. whipplei and Pneumocystis jirovecii diagnosed in the bronchoalveolar lavage. After sulfamethoxazole-trimethoprim and meropenem treatment, the patient showed clinical improvement in 2 weeks. Conclusion: Clinicians need to be alert to the occurrence of T. whipplei infection in AIDS patients with PCP and timely diagnosis and antibacterial treatments are essential. This case may help clinicians for timely diagnosis of the coinfection of T. whipplei and P. jirovecii in AIDS patients.

Severity-associated markers and assessment model for predicting the severity of COVID-19: a retrospective study in Hangzhou, China.

BACKGROUND: The severity of COVID-19 associates with the clinical decision making and the prognosis of COVID-19 patients, therefore, early identification of patients who are likely to develop severe or critical COVID-19 is critical in clinical practice. The aim of this study was to screen severity-associated markers and construct an assessment model for predicting the severity of COVID-19. METHODS: 172 confirmed COVID-19 patients were enrolled from two designated hospitals in Hangzhou, China. Ordinal logistic regression was used to screen severity-associated markers. Least Absolute Shrinkage and Selection Operator (LASSO) regression was performed for further feature selection. Assessment models were constructed using logistic regression, ridge regression, support vector machine and random forest. The area under the receiver operator characteristic curve (AUROC) was used to evaluate the performance of different models. Internal validation was performed by using bootstrap with 500 re-sampling in the training set, and external validation was performed in the validation set for the four models, respectively. RESULTS: Age, comorbidity, fever, and 18 laboratory markers were associated with the severity of COVID-19 (all P values < 0.05). By LASSO regression, eight markers were included for the assessment model construction. The ridge regression model had the best performance with AUROCs of 0.930 (95% CI, 0.914-0.943) and 0.827 (95% CI, 0.716-0.921) in the internal and external validations, respectively. A risk score, established based on the ridge regression model, had good discrimination in all patients with an AUROC of 0.897 (95% CI 0.845-0.940), and a well-fitted calibration curve. Using the optimal cutoff value of 71, the sensitivity and specificity were 87.1% and 78.1%, respectively. A web-based assessment system was developed based on the risk score. CONCLUSIONS: Eight clinical markers of lactate dehydrogenase, C-reactive protein, albumin, comorbidity, electrolyte disturbance, coagulation function, eosinophil and lymphocyte counts were associated with the severity of COVID-19. An assessment model constructed with these eight markers would help the clinician to evaluate the likelihood of developing severity of COVID-19 at admission and early take measures on clinical treatment.

Treatment Effects of Integrated TCM and Western Medicine Treatment Scheme on COVID-19: A Single-armed Clinical Trial.

Backgroud: The outbreak of COVID-19 has brought unprecedented perils to human health and raised public health concerns in more than two hundred countries. Safe and effective treatment scheme is needed urgently. Objective: To evaluate the effects of integratedTCM and western medicine treatment scheme on COVID-19. Methods: A single-armed clinical trial was carried out in Hangzhou Xixi Hospital, an affiliated hospital with Zhejiang Chinese Medical University. 102 confirmed cases were screened out from 725 suspected cases and 93 of them were treated with integrated TCM and western medicine treatment scheme. Results: 83 cases were cured, 5 cases deteriorated, and 5 cases withdrew from the study. No deaths were reported. The mean relief time of fever, cough, diarrhea, and fatigue were (4.78 ± 4.61) days, (7.22 ± 4.99) days, (5.28 ± 3.39) days, and (5.28 ± 3.39) days, respectively. It took (14.84 ± 5.50) days for SARS-CoV-2 by nucleic acid amplification-based testing to turn negative. Multivariable cox regression analysis revealed that age, BMI, PISCT, BPC, AST, CK, BS, and UPRO were independent risk factors for COVID-19 treatment. Conclusion: Our study suggested that integrated TCM and western medicine treatment scheme was effective for COVID-19.

Spatiotemporal characteristics and the epidemiology of tuberculosis in China from 2004 to 2017 by the nationwide surveillance system.

BACKGROUND: China has always been one of the countries with the most serious Tuberculosis epidemic in the world. Our study was to observe the Spatial-temporal characteristics and the epidemiology of Tuberculosis in China from 2004 to 2017 with Joinpoint regression analysis, Seasonal Autoregressive integrated moving average (SARIMA) model, geographic cluster, and multivariate time series model. METHODS: The data of TB from January 2004 to December 2017 were obtained from the notifiable infectious disease reporting system supplied by the Chinese Center for Disease Control and Prevention. The incidence trend of TB was observed by the Joinpoint regression analysis. The Seasonal autoregressive integrated moving average (SARIMA) model was used to predict the monthly incidence. Geographic clusters was employed to analyze the spatial autocorrelation. The relative importance component of TB was detected by the multivariate time series model. RESULTS: We included 13,991,850 TB cases from January 2004 to December 2017, with a yearly average morbidity of 999,417 cases. The final selected model was the 0 Joinpoint model (P = 0.0001) with an annual average percent change (AAPC) of - 3.3 (95% CI: - 4.3 to - 2.2, P < 0.001). A seasonality was observed across the 14 years, and the seasonal peaks were in January and March every year. The best SARIMA model was (0, 1, 1) X (0, 1, 1)12 which can be written as (1-B) (1-B12) Xt = (1-0.42349B) (1-0.43338B12) εt, with a minimum AIC (880.5) and SBC (886.4). The predicted value and the original incidence data of 2017 were well matched. The MSE, RMSE, MAE, and MAPE of the modelling performance were 201.76, 14.2, 8.4 and 0.06, respectively. The provinces with a high incidence were located in the northwest (Xinjiang, Tibet) and south (Guangxi, Guizhou, Hainan) of China. The hotspot of TB transmission was mainly located at southern region of China from 2004 to 2008, including Hainan, Guangxi, Guizhou, and Chongqing, which disappeared in the later years. The autoregressive component had a leading role in the incidence of TB which accounted for 81.5-84.5% of the patients on average. The endemic component was about twice as large in the western provinces as the average while the spatial-temporal component was less important there. Most of the high incidences (> 70 cases per 100,000) were influenced by the autoregressive component for the past 14 years. CONCLUSION: In a word, China still has a high TB incidence. However, the incidence rate of TB was significantly decreasing from 2004 to 2017 in China. Seasonal peaks were in January and March every year. Obvious geographical clusters were observed in Tibet and Xinjiang Province. The relative importance component of TB driving transmission was distinguished from the multivariate time series model. For every provinces over the past 14 years, the autoregressive component played a leading role in the incidence of TB which need us to enhance the early protective implementation.

Potential reservoirs and routes of Cronobacter transmission during cereal growing, processing and consumption.

Cronobacter are opportunistic bacterial pathogens of both infants and adults. We investigated the incidence and distribution of Cronobacter in 1245 samples of cereal and related environments. 39.1% (101/258) rice-related and 46.9% (98/209) wheat-related samples tested positive for Cronobacter, and the positive rate differed notably according to processing method. Cronobacter was found in rice and wheat plants at the tillering, filling and mature stages. Soil, water and swab samples from nearby milling plants were assayed, and results revealed that 6.3% (7/122) of water from paddy fields, 49.1% (28/57) and 62.1% (41/67) of swab samples from rice and wheat flour milling plants were Cronobacter positive. Pulsed-field gel electrophoresis (PFGE) subtyping indicated that some strains had a common profile, which suggested their persistence in the environment, potential transmission routes and cross-contamination in processing. Finally, we surveyed 18 families to evaluate potential risks. None of the families who primarily ate rice cooked with water tested positive for Cronobacter, though of 66.7% families (6/9) whose food staples were produced from wheat flour tested positive. Taken together, our results are important for understanding Cronobacter transmission and will aid in the development of additional control measures to reduce the risk of infection by these opportunistic pathogenic bacteria.