The identification of species primordium has been one of the hot issues in the identification of traditional Chinese medicine. Sea snake is one of the most valuable Chinese medicinal materials in China. In order to understand the origin and varieties of sea snake in the market, we studied the molecular identification of 46 sea snakes by cytochrome B(Cytb). After comparison and manual correction, the sequence length was 582 bp, and the content of A+T(58.9%) was higher than that of G+C(41.1%). There exist 197 variable sites and 179 parsimony-informative sites of the sequence. There are 44 kinds of sequence alignment with consistency equal to 100%, and 2 kinds equal to 96%. A total of 408 Cytb effective sequences were downloaded from GenBank database, with a total of 68 species. Phylogenetic tree of a total of 454 sea snake sequences with the samples in this study were constructed by neighbor-joining trees and Bayesian inference method, respectively, which can identify 42 samples of medicinal materials, while 4 samples can not be identified because of their low node support. The results showed that the species of the sea snake medicine were at least from 2 genera and 5 species, namely, Aipysurus eydouxii, Hydrophis curtus, H. caerulescen, H. curtus, H. ornatus and H. spiralis. This study suggested that the original species of commercial sea snake are very complex and can provide insight into the identification of sea snakes.
Animals ; Bayes Theorem ; China ; Cytochromes b/genetics* ; Hydrophiidae ; Medicine, Chinese Traditional ; Phylogeny

Objective To investigate the clinical features, laboratory findings, chest CT findings and treatment of patients with COVID-19, and to analyze their relationship with prognosis. Methods From January to February 2020, the clinical data on the 42 patients with COVID-19 admitted to the Wenzhou Sixth People′s Hospital were analyzed retrospectively. Results The clinical symptoms of the 42 cases included fever (35 cases), cough (26 cases), fatigue (14 cases), aspiration (9 cases), sore throat (4 cases), muscle ache (5 cases), headache (2 cases), nausea (4 cases), diarrhea (6 cases) and abdominal pain (1 case).The absolute number of blood lymphocyte decreased to different degrees in 22 cases.Fourteen cases had lactate dehydrogenase obviously, with no obvious change in procalcitonin.The imaging manifestations were cloud-like and ground-glass-like high density shadows scattered outside the lungs, small flaky consolidation and bronchus inflating sign were seen locally.A few images showed diffuse high density, most of the lesions showed consolidation or striate change, and local fibrosis was formed in the lower lobes of both lungs. Conclusion Fever and cough are the first symptoms of COVID-19, and a few cases are associated with shortness of breath and diarrhea, accompanied by different degrees of systemic symptoms, but most of the patients improve their conditions after active antivirus, anti-infection, systematic symptoms improvement and supportive treatment.The disease is highly infectious and its condition changes rapidly.Therefore, early detection, early diagnosis and comprehensive treatment of the whole body as soon as possible are the keys to treatment.

Objective: Several COVID-19 patients have overlapping comorbidities. The independent role of each component contributing to the risk of COVID-19 is unknown, and how some non-cardiometabolic comorbidities affect the risk of COVID-19 remains unclear. Methods: A retrospective follow-up design was adopted. A total of 1,160 laboratory-confirmed patients were enrolled from nine provinces in China. Data on comorbidities were obtained from the patients' medical records. Multivariable logistic regression models were used to estimate the odds ratio ( Results: Overall, 158 (13.6%) patients were diagnosed with severe illness and 32 (2.7%) had unfavorable outcomes. Hypertension (2.87, 1.30-6.32), type 2 diabetes (T2DM) (3.57, 2.32-5.49), cardiovascular disease (CVD) (3.78, 1.81-7.89), fatty liver disease (7.53, 1.96-28.96), hyperlipidemia (2.15, 1.26-3.67), other lung diseases (6.00, 3.01-11.96), and electrolyte imbalance (10.40, 3.00-26.10) were independently linked to increased odds of being severely ill. T2DM (6.07, 2.89-12.75), CVD (8.47, 6.03-11.89), and electrolyte imbalance (19.44, 11.47-32.96) were also strong predictors of unfavorable outcomes. Women with comorbidities were more likely to have severe disease on admission (5.46, 3.25-9.19), while men with comorbidities were more likely to have unfavorable treatment outcomes (6.58, 1.46-29.64) within two weeks. Conclusion Besides hypertension, diabetes, and CVD, fatty liver disease, hyperlipidemia, other lung diseases, and electrolyte imbalance were independent risk factors for COVID-19 severity and poor treatment outcome. Women with comorbidities were more likely to have severe disease, while men with comorbidities were more likely to have unfavorable treatment outcomes.
Adult ; Aged ; COVID-19/virology* ; China/epidemiology* ; Comorbidity ; Female ; Humans ; Male ; Middle Aged ; Retrospective Studies ; Severity of Illness Index ; Treatment Outcome

BACKGROUND: The proportion of recurrences after discharge among patients with coronavirus disease 2019 (COVID-19) was reported to be between 9.1% and 31.0%. Little is known about this issue, however, so we performed a meta-analysis to summarize the demographical, clinical, and laboratorial characteristics of non-recurrence and recurrence groups. METHODS: Comprehensive searches were conducted using eight electronic databases. Data regarding the demographic, clinical, and laboratorial characteristics of both recurrence and non-recurrence groups were extracted, and quantitative and qualitative analyses were conducted. RESULTS: Ten studies involving 2071 COVID-19 cases were included in this analysis. The proportion of recurrence cases involving patients with COVID-19 was 17.65% (between 12.38% and 25.16%) while older patients were more likely to experience recurrence (weighted mean difference (WMD)=1.67, range between 0.08 and 3.26). The time from discharge to recurrence was 13.38 d (between 12.08 and 14.69 d). Patients were categorized as having moderate severity (odds ratio (OR)=2.69, range between 1.30 and 5.58), while those with clinical symptoms including cough (OR=5.52, range between 3.18 and 9.60), sputum production (OR=5.10, range between 2.60 and 9.97), headache (OR=3.57, range between 1.36 and 9.35), and dizziness (OR=3.17, range between 1.12 and 8.96) were more likely to be associated with recurrence. Patients presenting with bilateral pulmonary infiltration and decreased leucocyte, platelet, and CD4 CONCLUSIONS The main factors associated with the recurrence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) after hospital discharge were older age, moderate severity, bilateral pulmonary infiltration, laboratory findings including decreased leucocytes, platelets, and CD4
Age Factors ; Blood Cell Count ; CD4 Lymphocyte Count ; COVID-19/pathology* ; Cough ; Dizziness ; Headache ; Humans ; Patient Discharge ; Recurrence ; Risk Factors

Objective:To explore systematic implementation of World Health Organization Family International Classifications (WHO-FICs) in the field of rehabilitation: the theoretical and policy framework at macro level, governance and management mechanism at meso level, and implementation modules at micro levels, respectively. Methods:The policy and theoretical framework of rehabilitation development was discussed based on the international rehabilitation policy documents of WHO, mainly as World Report on Disability, Global Action Plan on Disability and Rehabilitation in Health Service System. Protocol and roadmap of systematic implementation of WHO-FICs, including International Classification of Diseases (ICD-11), International Classification of Functioning, Disability and Health (ICF), and International Classification of Health Intervention (ICHIβ-2) was proposed. Results:With the use of WHO-FICs, the theoretical and policy framework of rehabilitation was constructed, and the contents and principles of modern rehabilitation services were clarified at macro-level. Rehabilitation is an important part of health service, there are six building blocks: i.e. leadership and governance, financing, human resources for health, service providing, medical technology and health information system. It proposed to use knowledge management system of WHO-FICs, including the classification, nomenclature, definitions, descriptions, terminology and coding systems, to standardize rehabilitation evaluation and statistics. The management and governance system of rehabilitation should be implemented using WHO-FICs. Rehabilitation services are based on the bio-psycho-social model and implemented the principles of people-centered and functioning-oriented. The systematic implementation of WHO-FICs in rehabilitation abide by the model of "Evaluation (ICHI)－Evaluation, Description, Classification and Coding of Functioning (ICF)－Disease Classification, Diagnosis and Coding (ICD)－Rehabilitation Intervention (ICHI)", and with the standardized process of "Evaluation (Functioning and unmet needs)－Diagnose (Disease and Functioning)－Planning of Rehabilitation－Intervention－Evaluation of Outcome". The mic-modules of implementation of WHO-FICs in rehabilitation had been constructed. There were 28 categories of diseases, 7 categories of functioning and 6 categories of rehabilitation interventions in rehabilitation proposed by International Society of Physical and Rehabilitation Medicine. According to ICD-11 and ICF, it proposed to use WHO Disability Assessment Schedule 2.0 (WHODAS 2.0), Brief Model Disability Survey (MDS-B) and VB40 Generic Functioning Domains (VB40), and the ICF core-sets in evaluation of functioning and rehabilitation outcome. The implementation of WHO-FICs in management of medical records and reporting realized the standardized management of medical record, encoding of diseases, functioning and intervention, reporting of performance, and provided tools for billing, reimbursement and payment management of rehabilitation. It proposed to develop WHO-FICs based clinical data sets and big data to implement functioning-related Diagnosis Related Groups and case-mix statistics. Conclusion:With the systematic implementation of WHO-FICs in rehabilitation, the policy and theoretical framework at macro level had been developed. The mechanism of management and governance at meso level had been explored. The application modules and approaches at micro level had been established. A scientific and effective overall solution had been proposed to enhance the scientific, standardized, refined and informatization level, strengthen the level and governance capacity, and improve the quality, safety and the coverage of rehabilitation services.