Hematological features of persons with COVID-19. Li Qiubai,Cao Yulin,Chen Lei,Wu Di,Yu Jianming,Wang Hongxiang,He Wenjuan,Chen Li,Dong Fang,Chen Weiqun,Chen Wenlan,Li Lei,Ran Qijie,Liu Qiaomei,Ren Wenxiang,Gao Fei,Chen Zhichao,Gale Robert Peter,Hu Yu Leukemia We studied admission and dynamic demographic, hematological and biochemical co-variates in 1449 hospitalized subjects with coronavirus infectious disease-2019 (COVID-19) in five hospitals in Wuhan, Hubei province, China. We identified two admission co-variates: age (Odds Ratio [OR] = 1.18, 95% Confidence Interval [CI] [1.02, 1.36]; P = 0.026) and baseline D-dimer (OR = 3.18 [1.48, 6.82]; P = 0.003) correlated with an increased risk of death in persons with COVID-19. We also found dynamic changes in four co-variates, Δ fibrinogen (OR = 6.45 [1.31, 31.69]; P = 0.022), Δ platelets (OR = 0.95 [0.90-0.99]; P = 0.029), Δ C-reactive protein (CRP) (OR = 1.09 [1.01, 1.18]; P = 0.037), and Δ lactate dehydrogenase (LDH) (OR = 1.03 [1.01, 1.06]; P = 0.007) correlated with an increased risk of death. The potential risk factors of old age, high baseline D-dimer, and dynamic co-variates of fibrinogen, platelets, CRP, and LDH could help clinicians to identify and treat subjects with poor prognosis. 10.1038/s41375-020-0910-1
    Risk factors for death in 1859 subjects with COVID-19. Chen Lei,Yu Jianming,He Wenjuan,Chen Li,Yuan Guolin,Dong Fang,Chen Wenlan,Cao Yulin,Yang Jingyan,Cai Liling,Wu Di,Ran Qijie,Li Lei,Liu Qiaomei,Ren Wenxiang,Gao Fei,Wang Hongxiang,Chen Zhichao,Gale Robert Peter,Li Qiubai,Hu Yu Leukemia We studied 1859 subjects with confirmed COVID-19 from seven centers in Wuhan 1651 of whom recovered and 208 died. We interrogated diverse covariates for correlations with risk of death from COVID-19. In multi-variable Cox regression analyses increased hazards of in-hospital death were associated with several admission covariates: (1) older age (HR = 1.04; 95% Confidence Interval [CI], 1.03, 1.06 per year increase; P < 0.001); (2) smoking (HR = 1.84 [1.17, 2.92]; P = 0.009); (3) admission temperature per °C increase (HR = 1.32 [1.07, 1.64]; P = 0.009); (4) Log neutrophil-to-lymphocyte ratio (NLR; HR = 3.30 [2.10, 5.19]; P < 0.001); (5) platelets per 10 E + 9/L decrease (HR = 0.996 [0.994, 0.998]; P = 0.001); (6) activated partial thromboplastin (aPTT) per second increase (HR = 1.04 [1.02, 1.05]; P < 0.001); (7) Log D-dimer per mg/l increase (HR = 3.00 [2.17, 4.16]; P < 0.001); and (8) Log serum creatinine per μmol/L increase (HR = 4.55 [2.72, 7.62]; P < 0.001). In piecewise linear regression analyses LogNLR the interval from ≥0.4 to ≤1.0 was significantly associated with an increased risk of death. Our data identify covariates associated with risk of in hospital death in persons with COVID-19. 10.1038/s41375-020-0911-0
    Cancer increases risk of in-hospital death from COVID-19 in persons <65 years and those not in complete remission. Li Qiubai,Chen Lei,Li Qin,He Wenjuan,Yu Jianming,Chen Li,Cao Yulin,Chen Wenlan,Di Wu ,Dong Fang,Cai Liling,Ran Qijie,Li Lei,Liu Qiaomei,Ren Wenxiang,Gao Fei,Wang Hongxiang,Chen Zhichao,Gale Robert Peter,Hu Yu Leukemia The impact of cancer on outcome of persons with coronavirus disease 2019 (COVID-19) after infection with acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is controversial. We studied 1859 subjects with COVID-19 from seven centers in Wuhan, China, 65 of whom had cancer. We found having cancer was an independent risk factor for in-hospital death from COVID-19 in persons <65 years (hazard ratio [HR] = 2.45, 95% confidence interval [CI], 1.04, 5.76; P = 0.041) but not in those ≥65 years (HR = 1.12 [0.56, 2.24]; P = 0.740). It was also more common in those not in complete remission. Risks of in-hospital death were similar in subjects with solid cancers and those with hematological cancers. These data may help predict outcomes of persons with cancer and COVID-19. 10.1038/s41375-020-0986-7
    Exosomal MicroRNAs in Serum as Potential Biomarkers for Ectopic Pregnancy. Sun Jianhua,Deng Gaopi,Ruan Xiaofeng,Chen Si,Liao Huiyan,Liu Xiaorong,Li Jing,Zhao Guang,Gao Jie BioMed research international Design:From July 2016 to June 2018, 36 women with symptomatic early pregnancy around 4-8 weeks of gestation were recruited into the study. Among them, there were 16 women with viable intrauterine pregnancy (VIP), 9 women with spontaneous abortion (SA), and 11 women of EP. Serum exosomal miRNAs were extracted and measured at the first prenatal visit. Statistical analysis was performed to determine the clinical utility of these biomarkers as single markers and as multimarker panels for EP. Results:Concentrations of miR-378d in serum exosomes were significantly higher in EP than in VIP and also SA group. As a single marker, miR-378d had the highest specificity of 64% at the sensitivity of 89.1%. Comparatively, both combined panels of hCG, progesterone, miR-100-5p and hCG, progesterone, and miR-215-5P yielded the specificity of 96%. Panels for all markers achieved the highest specificity of 80% at the sensitivity of 91%. Conclusions:Although further validation in large-scale prospective studies is necessary, our results suggest that serum exosomal miR-378d, miR-100-5p, and miR-215-5P are promising biomarkers for early EP. 10.1155/2020/3521859
    The benefits of higher LMR for early threatened abortion: A retrospective cohort study. Feng Qiu-Ting,Chen Chi,Yu Qing-Ying,Chen Si-Yun,Huang Xian,Zhong Yan-Lan,Luo Song-Ping,Gao Jie PloS one PROBLEM:To investigate the relation of inflammation-related parameters and pregnancy outcome in women with the early threatened abortion. METHOD OF STUDY:630 women with early threatened abortion were divided into two groups based on the pregnancy outcome. All of them had the blood routine examination before treating. The differences between two groups were analyzed by the Chi-squared test, Student T test, Mann-Whitney U test, Binary Logistic Regression, Marginal Structural Model and Threshold effect analysis. RESULTS:We found that there is no significant difference in the pregnancy outcome for NLR (OR:0.92, CI95%:0.72, 1.17) and PLR (OR:1.00, CI%:0.99, 1.01). However, a difference had a statistical significance in the pregnancy outcome when LMR less than 2.19 (OR:0.39, CI95%:0.19,0.82). CONCLUSIONS:This study suggested that higher LMR was related to the lower risk of miscarriage in the women with early threatened abortion in a way. 10.1371/journal.pone.0231642
    Baseline Levels of Serum Progesterone and the First Trimester Pregnancy Outcome in Women with Threatened Abortion: A Retrospective Cohort Study. Deng Yongshi,Chen Chi,Chen Siyun,Mai Guanyan,Liao Xiuping,Tian He,Liu Wenli,Ji Shuling,Liu Ying,Gao Jie,Luo Songping BioMed research international Objective:The relationship between serum progesterone and the first trimester pregnancy outcome of threatened abortion is still controversial. Therefore, we aimed to further study the association between these two parameters. Methods:The present study is an observational retrospective cohort study. A total of 726 participants who had threatened abortion from a hospital in Guangdong, China, were included in this study from 17th August 2011 to 30th October 2018. The exposure variable and the outcome variable were serum progesterone measured at baseline and early pregnancy outcome, respectively. Covariates involved in this study included patients' basic demographics, obstetric history, and clinical information. Results:A negative association and a saturation effect were detected between serum progesterone and the first trimester pregnancy outcome. When progesterone <90.62 nmol/L, an increase in 1 nmol/L of serum progesterone was associated with 3% decrease of the risk of miscarriage (OR: 0.97, 95% CI: 0.95-0.98). Conclusion:There was a greater risk of abortion when the serum progesterone level was less than 90.62 nmol/L. Our findings can better assist the clinician in understanding patients' conditions and making medical decisions. 10.1155/2020/8780253
    A Model to Predict Treatment Failure of Single‑Dose Methotrexate in Patients with Tubal Pregnancy. Chen Si,Zhu Fangfang,Zhang Yingxuan,Li Jing,Gao Jie,Deng Gaopi Medical science monitor : international medical journal of experimental and clinical research BACKGROUND In China, approximately 15% of tubal pregnancy patients treated with MTX eventually required surgery because the ectopic mass was ruptured; therefore, it is essential to develop a model to predict the risk of failure with methotrexate treatment in tubal pregnancy. MATERIAL AND METHODS In this research, 168 patients met the eligibility criteria, and 29 candidate risk factors for treatment failure were collected. Multivariable logistic regression analysis was used to analyze the factors, and a full model was developed. We used a multiple fractional polynomial model and a stepwise model to increase the reliability. Bootstrap resampling for 500 times was used to internally test the prediction model. The integral performance of the model depends on the evaluation of the nomogram, the discriminative performance by receiver operating characteristic (ROC) curve analysis, and calibration. RESULTS The model showed excellent discrimination and calibration. The area under the ROC curve for the prediction model, mfp model, and stepwise model were 0.879 (95% CI: 0.812-0.942), 0.872 (95% CI: 0.805-0.931), and 0.880 (95% CI: 0.817-0.949), respectively. At a cutoff value of ≥0.40, sensitivity was 60%, specificity was 91%, positive predictive value (PPV) was 81%, and negative predictive value (NPV) was 77%. The model provides a net benefit when clinical decision thresholds are between 0% and 40% of predicted risk. CONCLUSIONS This model indicated good accuracy in predicting methotrexate treatment failure for tubal pregnancy patients. 10.12659/MSM.920079
    Differences in the Composition of Vaginal Microbiota between Women Exhibiting Spleen-Deficiency Syndrome and Women with Damp-Heat Syndrome, Two of the Most Common Syndromes of Vaginitis in Traditional Chinese Medicine. Lin Wei Xian,Du Xin,Yang Li Lin,Chen Si Yun,Qiu Wei Yu,Wu Hai Wang,Zhao Guang,Feng Yi Hui,Yu Qing Ying,Tian He,Luo Song Ping,Gao Jie Evidence-based complementary and alternative medicine : eCAM Spleen-deficiency syndrome and damp-heat syndrome are the two most common syndromes of vaginitis in traditional Chinese medicine (TCM). Although it is known that the vaginal microbiota is closely associated with vaginitis, present studies have not fully elucidated the relationship between the composition of the vaginal microbiome and type of TCM syndrome because of the limitations in the present reductionist approaches. Samples of vaginal secretions were collected from patients with bacterial vaginitis and healthy subjects with spleen-deficiency syndrome and damp-heat syndrome, in order to analyze the constitution of the vaginal microflora using 16S rRNA sequencing methods that encompass taxonomic units, alpha diversity rarefaction curves, and principal component analyses. This prospective study indicated that there was a statistically significant difference in the composition of the vaginal microbiome between patients with spleen-deficiency syndrome and patients with damp-heat syndrome. was the dominant microbiota in patients with spleen-deficiency syndrome. This can serve as a biomarker for differentiating spleen-deficiency syndrome and damp-heat syndrome. In addition, as indicated by the findings on the samples, patients with bacterial vaginitis of dominant abundance in might be prone to manifest spleen-deficiency syndrome, while patients with bacterial vaginitis of dominant abundance in might be prone to manifest damp-heat syndrome. These present findings can provide a new approach to acquire a scientific understanding of the syndromes of TCM, which in turn would benefit the development of personalized medicine, in terms of ancient medicine and complex biological systems. 10.1155/2019/5456379