Lung cancer ranks among the most prevalent and lethal malignancies globally. Its prognostic outcomes are not only contingent upon tumor characteristics and therapeutic interventions but also intricately linked to the nutritional and immune profiles of patients. This article conducts a thorough review of both domestic and international research, providing a comprehensive synthesis of the prognostic value of widely investigated nutritional and immune indicators in the context of lung cancer. The primary objective is to identify optimal prognostic markers in clinical practice, offering guidance for precise post-treatment assessment and early intervention for lung cancer patients.
ObjectiveTo analyze the status quo of outcome indicators in the randomized controlled trials (RCTs) of premature ovarian failure (POF)/primary ovarian insufficiency (POI) published at home and abroad, and provide a sufficient basis for the selection of outcome indicators in related studies in the future.MethodsChina National Knowledge Infrastructure, Chongqing VIP Data, Wanfang Data, SinoMed, PubMed, the Cochrane Library, and Embase were searched for RCT articles of POF/POI published between the establishment of the databases and June 2021. Two researchers independently screened and extracted the literature, and finally summarized the outcome indicators of the included studies.ResultsA total of 186 articles meeting the inclusion criteria were selected, including 180 articles in Chinese and 6 articles in English. The choice of outcome indicators was diverse. Of the 186 articles, 2 Chinese articles and 1 English article used primary and secondary outcome indicators; 19 Chinese articles and 4 English articles used independent indicators, 4 Chinese articles used composite indicators, and 157 Chinese articles and 2 English articles used both independent indicators and composite indicators.ConclusionsThe selection and use of outcome indicators in clinical RCTs of POF/POI are not standardized, and there are problems such as neglect of primary and secondary outcome indicators, and lack of standards for the selection of clinical research outcome indicators. As a result, the credibility of the curative effect is reduced, and the results of similar studies cannot be combined and compared.
ObjectiveTo analyze the risk factors for seizures in patients with autoimmune encephalitis (AE) and to assess their predictive value for seizures. MethodsSeventy-four patients with AE from the First Affiliated Hospital of Xinjiang Medical University from January 2016 to March 2023 were collected and divided into seizure group (56 cases) and non-seizure group (18 cases), comparing the general clinical information, laboratory tests and imaging examinations and other related data of the two groups. The risk factors for seizures in AE patients were analyzed by multifactorial logistic regression, and their predictive value was assessed by receiver operating characteristic (ROC) curves. ResultsThe seizure group had a higher proportion of acute onset conditions in the underlying demographics compared with the non-seizure group (P<0.05). Laboratory data showed statistically significant differences in neutrophil count, calcitoninogen, lactate dehydrogenase, C-reactive protein, homocysteine, and interleukin-6 compared between the two groups (all P<0.05). Multi-factor logistic regression analysis of the above differential indicators showed that increased C-reactive protein [Odds ratio (OR)=4.621, 95% CI (1.123, 19.011), P=0.034], high homocysteine [OR=12.309, 95CI (2.217, 68.340), P=0.004] and onset of disease [OR=4.918, 95% CI (1.254, 19.228), P=0.022] were risk factors for seizures in AE patients, and the area under the ROC curve for the combination of the three indicators to predict seizures in AE patients was 0.856 [95% CI (0.746, 0.966)], with a sensitivity of 73.2% and a specificity of 83.3%. ConclusionHigh C-reactive protein, high homocysteine and acute onset are independent risk factors for seizures in patients with AE, and the combination of the three indices can better predict seizure status in patients.
ObjectiveTo investigate the clinical characteristics and risk factors of patients with coronavirus disease 2019 (COVID-19), to provide a basis for clinical classification, diagnosis, and treatment.MethodsThe clinical data of COVID-19 patients comfirmed between January 17th and February 13th, 2020 were collected, single-factor test and multivariate logistic regression were used to compare the relevant indicators between the mild or common cases and the severe or critically severe cases.ResultsA total of 202 patients with COVID-19 were included, with an average age of 45.2 years and a male-to-female ratio of 1∶1.02. There were 146 patients (72.3%) without underlying diseases. The average time from onset to diagnosis was 5.4 d, and 31 were clustering epidemic cases. There were 13 (6.4%) mild cases, 151 (74.8%) common cases, 32 (15.8%) severe cases, and 6 (3.0%) critically severe cases. The main clinical symptoms were fever, cough, gasp, and diarrhea. Of the 202 patients, 135 (66.8%) had normal white blood cell count, 22 (10.9%) had lymphocyte ratio >40%, 18 (8.9%) had elevated aspartate aminotransferase (AST), 11 (5.4%) had elevated creatine kinase MB isoenzyme (CKMB), and 143 (70.8%) had elevated C-reactive protein (CRP). Single factor analyses showed that there were statistically significant differences between the mild or common cases and the severe or critically severe cases in the days of diagnosis, age, underlying disease, percentage of neutrophil, percentage of lymphocyte, arterial oxygen partial pressure, CRP, procalcitonin, lactate dehydrogenase, creatine kinase, CKMB, and AST (all P<0.05); multiple logistic regression analysis showed that CRP [odds ratio (OR)=1.035, 95% confidence interval (CI) (1.015, 1.055), P=0.001], CKMB [OR=1.078, 95%CI (1.023, 1.135), P=0.005], and AST [OR=1.042, 95%CI (1.016, 1.069), P=0.002] were correlated with clinical classification.ConclusionsCOVID-19 patients are mild or common cases mostly. CRP, CKMB, and AST are elevated in some cases, which may be related to early inflammation and certain myocardial damages and are independent risk factors for predicting classification.
ObjectiveTo find out the diagnostic power and correlation between platelet-related parameters and inflammatory indicators in acute pancreatitis patients with different severity.MethodsA total of 88 patients with acute pancreatitis diagnosed in West China Hospital of Sichuan University from January 2019 to August 2019 were enrolled in the retrospective study, including 58 mild acute pancreatitis patients and 30 severe acute pancreatitis patients. The patients’ platelet-related parameters and inflammatory indicators were collected. The platelet parameters and inflammatory indicators in different severity acute pancreatitis groups were compared and the diagnostic power and correlation were analyzed.ResultsThe platelet count and plateletcrit of the severe group were lower than those of the mild group, the difference was statistically significant (Z=–5.502, –3.673; P<0.001). The immature platelet fraction, platelet distribution width, mean platelet volume and platelet-large cell ratio levels of the severe group were higher than those of the mild group (Z=–4.217, –2.998, –3.754, –3.816; P<0.05). Platelet-related parameters platelet count, immature platelet fraction, platelet distribution width, mean platelet volume, platelet-large cell ratio, plateletcrit and inflammatory indicators procalcitonin, interleukin-6 showed good diagnostic power with areas under under receiver operating characteristic curves greater than 0.75 in differentiating the severity of acute pancreatitis. Correlation analysis showed that immature platelet fraction was positively correlated with procalcitonin and interleukin-6 levels in patients with acute pancreatitis (rs=0.457, 0.385; P<0.05).ConclusionsImmature platelet fraction is correlated with the severity of acute pancreatitis, and positively correlated with the levels of inflammatory indicators procalcitonin and interleukin-6.
As an important practice of collaborative medicine, multi-disciplinary team (MDT) plays a key role in improving the level of diagnosis and treatment of difficult and complex diseases. MDT quality evaluation is an important research content to promote the development of MDT model, which directly affects the effectiveness of diagnosis and treatment and patient experience. This paper systematically summarizes the relevant literature at home and abroad, focuses on MDT quality evaluation methods and tools, combs the dimensions and indicators of quality evaluation in different scenarios, and summarizes the common quality control laws in MDT practice. On this basis, combined with the characteristics and practical bottlenecks of China’s MDT model, this paper puts forward the key directions that should be paid attention to in the future MDT quality evaluation research, in order to provide theoretical references for the construction of MDT quality evaluation framework and promote the standardized development of MDT model.
Objective To analyze the progress of evaluation indexes for enhanced recovery after surgery (ERAS) model at home and abroad, and to propose suggestions for constructing systematic evaluation model of ERAS. Methods Atfirst checked the Chinese and English databases, including Medline, Embase, Sciencedirect, ACP Journal Club, BioMed Central, the Cochrane Central Register of Controlled Trials (CENTRAL), Science Citation Index Expanded, Cochrane Library, NHS Economic Evaluation Database, CNKI, VIP, and Wanfang databases (retrieval time was from January 1997 to December 2017), and then filtered the literatures, excluded duplicate documents, a total of 1 020 English literatures and 786 Chinese literatures were enrolled eventually to make an review. Results The literatures showed that, at present, there was no comprehensive and systematic evaluation index system about ERAS at home and abroad. The existing evaluation indexes mainly included the following deficiencies: localization and fragmentation of evaluation indicators, lack of evaluation indicators of ERAS organizational framework and process management, as well as lack of standardized operational definition of evaluation indicators. Conclusions The evaluation indexes of ERAS at home and abroad do not constitute a systematic evaluation index system according to scientific principles, which will restrict the standardization of accelerated surgical rehabilitation in our country. To establish a multidimensional and comprehensive quality evaluation index system based on multi-evaluation of hospital, patient, social, and medical management institutions, which covers ERAS organizational structure, process management, and clinical outcomes, is a necessary condition for the development of ERAS model.
Day surgery is a new medical service model, which has developed rapidly in China because of its advantages of safety, efficiency and resource conservation. However, along with the rapid development in quantity, it also presents contradictions such as the mismatch with the previous surgical quality and safety management model, the urgent need for the unification of the new system of quality and safety evaluation indicators at the national level, and the imbalance in the construction of information technology of medical institutions in China, leading to the new problem of uneven quality control of day surgery. This article constructs a “five-in-one” new system for the quality and safety management of day surgery from the perspective of high-quality development, aiming to provide a theoretical basis for the formulation of relevant policies in China and to promote the safe, efficient, and orderly development of day surgeries.
Objective To construct a multi-dimensional risk assessment system and scale for the prevention and control risk of respiratory infectious diseases in general hospitals, and make evaluation and early warning. Methods Through the collection of relevant literature on the prevention and control of respiratory infectious diseases during the period from January 1st, 2020 to December 31st, 2022, the articles related to the risk assessment of respiratory infectious diseases such as severe acute respiratory syndrome, COVID-19 and influenza A (H1N1) were screened, and the Delphi method was used to evaluate the articles and establish an indicator system. The normalized weight and combined weight of each item were calculated by analytic hierarchy process. The technique for order preference by similarity to the ideal solution method was used to calculate the risk composite index of 38 clinical departments in a tertiary general hospital in Jiangxi Province in December 2022. Results A total of 16 experts were included, including 4 with senior titles, 8 with associate senior titles, and 4 with intermediate titles. After two rounds of Delphi consult, a total of 4 first-level indicators, 11 second-level indicators, and 38 third-level indicators of risk assessment for the prevention and control of respiratory infectious diseases were determined. The reliability and validity of the scale were good. The top three items with the largest combined weights in the scale were spread by aerosol, spread by respiratory droplet, and commonly used instruments (inspection instruments and monitoring equipment). After a comprehensive analysis on the 38 departments, the top 10 departments in the risk index were the departments of medical imaging, pediatrics, ultrasound, cardiac and vascular surgery, infection, emergency, respiratory and critical care, general medicine, otolaryngology and neck surgery, stomatology, and obstetrics. Conclusions This study constructed the risk assessment scale of respiratory infectious diseases in general hospitals, and the scale has good reliability and validity. The use of this scale for risk assessment of general hospitals can provide a theoretical basis for the risk characteristics of prevention and control of respiratory infectious diseases in general hospitals.
ObjectiveTo identify differences in blood routine indicators between lung cancer patients and healthy controls, and between different subgroups of lung cancer patients, so as to improve the early detection of lung cancer prognosis, and provide a basis for risk stratification and prognostic judgment for patients with lung cancer.MethodsThis study enrolled 1 227 patients pathologically diagnosed with lung cancer from December 2008 to December 2013 and 2 454 healthy controls 1∶2 matched by sex and age. The blood routine data of lung cancer patients were collected when they were first diagnosed with lung cancer. Gender and age stratified analysis of blood routine indicators between lung cancer patients and controls were conducted. Comparisons of blood routine indicators among lung cancer patients with different pathological types, stages, and prognosis were performed, followed by Cox regression survival analysis. Normally distributed quantitative variables were presented as mean ± standard deviation and non-normally distributed quantitative variables as medium (lower quartile, upper quartile).ResultsCompared to healthy controls, the counts of platelet [(206.84±80.47) vs. (175.27±55.74)×109/L], white blood cells [(7.04±2.29) vs. (6.08±1.40)×109/L], neutrophil [(4.90±2.08) vs. (3.61±1.07)×109/L], monocyte [0.42 (0.30, 0.54) vs. 0.33 (0.26, 0.42)×109/L], and eosinophil [0.14 (0.07, 0.24) vs. 0.12 (0.07, 0.19)×109/L], as the well as neutrophil-lymphocytes ratio (3.91±2.82 vs. 2.03±0.89) and platelet-lymphocyte ratio (160.35±96.06 vs. 96.93±38.02) in lung cancer patients increased significantly, while the counts of red blood cells [(4.41±0.58) vs. (4.85±0.51)×1012/L] and lymphocyte [(1.49±0.60) vs. (1.93±0.59)×109/L] in lung cancer patients decreased, and the differences were statistically significant (P<0.05). The counts of platelet, red blood cells, white blood cells, neutrophil, and monocyte differed among patients with different pathological types, tumor stages, and prognosis (P<0.05). Neutrophil-lymphocytes ratio and platelet-lymphocyte ratio were higher in squamous cell carcinoma patients than those in other pathological patients, higher in advanced lung cancer patients than those in early stage patients, and higher in dead lung cancer patients than those in survival patients (P<0.05). Neutrophil-lymphocyte ratio was an independent factor affecting the prognosis of lung cancer [hazard ratio=1.077, 95% confidence interval (1.051, 1.103), P<0.001].ConclusionsThe inflammatory index of blood routine indicators are higher in lung cancer patients than those in healthy controls, which indicates that lung cancer is closely related to chronic inflammation. There are significant differences in blood routine inflammation index among lung cancer patients with different pathological types, stages, and prognosis, which reflects the heterogeneity and complexity of lung cancer. Neutrophil-lymphocytes ratio inverse correlates with the prognosis of lung cancer.