OBJECTIVE: To establish GC-MS fingerprint of volatile oil from Citrus aurantium. METHODS: GC-MS method was adopted. The determination was performed on RTX-5MS capillary column with injector temperature of 250 ℃, high pure helium as carrier gas(≥99. 999％), flow rate of 1. 0 mL/min, split ratio of 10:1,and sample size of 1 μL (temperature programming). Mass spectrum condition included electron bombardment ion source, ion source temperature of 230 ℃, detector temperature of 250 ℃, 3 min solvent delay, scanning range of m/z 35-550. GC-MS chromatograms of 21 batches of volatile oil samples were determined using Laurene as reference. The similarity of them was evaluated by using TCM Chromatographic Fingerprint Similarity Evaluation System (2004 A edition), and common peak was determined. The components of common peak were determined by LC Solution 2 mass database (NIST05. LIB and NIST05s. LIB). Relative content of common peak was determined with area normalization. RESULTS; There were 20 common peaks in GC-MS chromatograms of 21 batches of volatile oil samples, and the similarity was higher than 0. 90. After validation, GC-MS chromatograms of 21 batches of volatile oil samples were in good agreement with control fingerprint. The main constituents of the volatile oil of C. aurantium were Limonene, Terpinene, Laurene and D-Cadinene. CONCLUSIONS: Established fingerprint can provide reference for identification and quality evaluation of volatile oil of C. aurantium.

BACKGROUND AND OBJECTIVEThe actual evaluation of immunological function is significant for studing the tumor development and devising a treatment in time. The aim of this study is to evaluate the immunological function of advanced lung cancer patients systematically, and to discuss the clinical significance.

METHODSThe nucleated cell amounts of advanced lung cancer patients and the healthy individuals were counted. The immune cell subsets and the levels of IL-4, INF-gamma, perforin and granzyme in CD8+T cells by the flow cytometry were measured. The proliferation activity and the inhibition ratio of immune cells to several tumor cell lines were evaluated by MTT assay.

RESULTSThe absolute amounts and subsets of T, B, NK cells of advanced lung cancer patients were lower than the healthy individuals (P < 0.05); However, the proportion of regulatory T cells of advanced lung cancer patients (4.00 +/- 1.84)% was lower than the healthy individuals (1.27 +/- 0.78)% (P < 0.05). The positive rates of IFN-gamma perforin, granzyme in CD8+T cells decreased while them in IL-4 did not in the advanced lung cancer patients compared to the healthy control group (P < 0.05). The proliferation activity of immune cells, the positive rate of PPD masculine and the inhibition ratio to tumor cells in the advanced lung cancer patients was lower than the healthy subsets obviously (P < 0.05).

CONCLUSIONThere was a significant immune depression in the advanced lung cancer patients compared to the healthy individuals.

Adult ; Aged ; CD8-Positive T-Lymphocytes ; immunology ; metabolism ; Cell Line, Tumor ; Female ; Flow Cytometry ; Granzymes ; metabolism ; Humans ; Interferon-gamma ; metabolism ; Interleukin-4 ; metabolism ; Lung Neoplasms ; immunology ; pathology ; Male ; Middle Aged ; Perforin ; metabolism

Objective:To investigate the development trend of physical examination volume and revenue in health-checkup institutions in China from 2010 to 2019.Methods:In this longitudinal study, the annual income, annual physical examination volume and other indicators reflecting institutional size were collected with questionnaire from 374 health-checkup institutions in the year of 2010, 2015 and 2019. The geometric mean method is used to calculate the compound annual growth rate (CAGR) of the annual physical examination volume, annual income, mean per capita cost from 2010 to 2015 and 2015 to 2019.Results:The annual physical examination volume of health-checkup institutions increased from 1.81 (1.00, 3.20) ×10 4 person times in 2010 to 5.08(3.50, 7.28)×10 4 person times in 2019; the CAGR of the physical examination volume from 2010 to 2015 was 14.04%(8.14%, 23.78%), and it was 9.49%(3.39%, 19.07%) from 2015 to 2019. The annual revenue increased from 768.73 (350.00, 1 623.75) ×10 4 yuan in 2010 to 3 500.00 (1 997.73, 6 818.54) ×10 4 yuan in 2019; the CAGR of annual revenue from 2010 to 2015 was 25.75% (15.17%, 35.09%), and it was 15.67% (8.78%, 26.11%) from 2015 to 2019. The mean per capita cost increased from 434.26 (278.82, 666.66) yuan in 2010 to 755.80 (506.90, 1 005.42) yuan in 2019; the CAGR of the mean per capita cost was 9.82% (1.71%, 17.10%) from 2010 to 2015, and it was 5.37% (0.95%, 10.46%) from 2015 to 2019. Conclusion:From 2010 to 2019, health-checkup institutions in China developed rapidly, and the CAGR of the annual physical examination volume, annual revenue, mean per capita cost are high.

Acute kidney injury (AKI) is a common complication in patients with sepsis, with poor prognosis and high mortality. The pathogenesis of sepsis-induced acute kidney injury (SAKI) is closely related to renal hemodynamic abnormalities, inflammatory injury and adaptive mechanism. It is insufficient for previous criteria based on urine output and creatinine to the early diagnosis of SAKI. The emergence of new biomarkers may make up for deficiencies in early diagnosis. And significant progress has also been made in the treatment of SAKI. The aim of this article was to review the researches on pathophysiology, early diagnosis and treatment of SAKI and provides some help for clinical staff to understand SAKI.
Acute Kidney Injury ; Biomarkers ; Creatinine ; Humans ; Kidney ; Sepsis

Acute kidney injury (AKI) is a common complication in patients with sepsis, with poor prognosis and high mortality. The pathogenesis of sepsis-induced acute kidney injury (SAKI) is closely related to renal hemodynamic abnormalities, inflammatory injury and adaptive mechanism. It is insufficient for previous criteria based on urine output and creatinine to the early diagnosis of SAKI. The emergence of new biomarkers may make up for deficiencies in early diagnosis. And significant progress has also been made in the treatment of SAKI. The aim of this article was to review the researches on pathophysiology, early diagnosis and treatment of SAKI and provides some help for clinical staff to understand SAKI.

Objective: To investigate the clinical value of combined detection of serum angiopoietin 2 (Ang-2) and Clara cell protein 16 (CC16) in the early diagnosis of acute respiratory distress syndrome (ARDS). Methods: Two hundred critical patients, treated at the Department of Critical Care Medicine, Bao'an District People's Hospital, Shenzhen during March 2015 and September 2016,were included in the study. According to the Berlin standard, patients were divided into two groups (n=100 each group): the ARDS group and non-ARDS group.The serum levels of Ang-2 and CC16 were measured by enzyme-linked immunosorbent assay (ELISA) on the first and second day of admission for each patient, in addition to completing APACHEⅡ score, medical history, vital signs collection and other biochemical indicators detection. Finally, paired-samples t test was used to analyze the data. The multiple ROC curve was used to calculate the area under the curve of the reference index of the serum levels of Ang-2 and CC16 on the first and second day. Results: On the first and second day, the serum levels of Ang-2 and CC16 were significantly higher in ARDS patients than those in non-ARDS patients, and there was a correlation between the serum levels of Ang-2 and CC16 in ARDS patients. The ROC curve showed that the combined detection of Ang-2 and CC16 on the first day achieved a highest sensitivity of 75.9% and detection of CC16 on the first day achieved a highest specificity of 70.2%. Conclusion Single-detection of serum levels of Ang-2 and CC16 could be used for early diagnosis of ARDS, and the combined detection of both has a higher sensitivity than single detection.

ObjectiveTo elucidate the critical role of rehabilitation medical records (including electronic records) in rehabilitation medicine's clinical practice and management, comprehensively analyzed the structure, core content and data standards of rehabilitation medical records, to develop a standardized medical record data architecture and core dataset suitable for rehabilitation medicine and to explore the application of rehabilitation data in performance evaluation and payment. MethodsBased on the regulatory documents Basic Specifications for Medical Record Writing and Basic Specifications for Electronic Medical Records (Trial) issued by National Health Commission of China, and referencing the World Health Organization (WHO) Family of International Classifications (WHO-FICs) classifications, International Classification of Diseases (ICD-10/ICD-11), International Classification of Functioning, Disability and Health (ICF), and International Classification of Health Interventions (ICHI Beta-3), this study constructed the data architecture, core content and data standards for rehabilitation medical records. Furthermore, it explored the application of rehabilitation record summary sheets (home page) data in rehabilitation medical statistics and payment methods, including Diagnosis-related Groups (DRG), Diagnosis-Intervention Packet (DIP) and Case Mix Index. ResultsThis study proposed a systematic standard framework for rehabilitation medical records, covering key components such as patient demographics, rehabilitation diagnosis, functional assessment, rehabilitation treatment prescriptions, progress evaluations and discharge summaries. The research analyzed the systematic application methods and data standards of ICD-10/ICD-11, ICF and ICHI Beta-3 in the fields of medical record terminology, coding and assessment. Constructing a standardized data structure and data standards for rehabilitation medical records can significantly improve the quality of data reporting based on the medical record summary sheet, thereby enhancing the quality control of rehabilitation services, effectively supporting the optimization of rehabilitation medical insurance payment mechanisms, and contributing to the establishment of rehabilitation medical performance evaluation and payment based on DRG and DIP. ConclusionStructured rehabilitation records and data standardization are crucial tools for quality control in rehabilitation. Systematically applying the three reference classifications of the WHO-FICs, and aligning with national medical record and electronic health record specifications, facilitate the development of a standardized rehabilitation record architecture and core dataset. Standardizing rehabilitation care pathways based on the ICF methodology, and developing ICF- and ICD-11-based rehabilitation assessment tools, auxiliary diagnostic and therapeutic systems, and supporting terminology and coding systems, can effectively enhance the quality of rehabilitation records and enable interoperability and sharing of rehabilitation data with other medical data, ultimately improving the quality and safety of rehabilitation services.