In recent years, the computer science represented by artificial intelligence and high-throughput sequencing technology represented by omics play a significant role in the medical field. This paper reviews the research progress of the application of artificial intelligence combined with omics data analysis in the diagnosis and treatment of non-small cell lung cancer (NSCLC), aiming to provide ideas for the development of a more effective artificial intelligence algorithm, and improve the diagnosis rate and prognosis of patients with early NSCLC through a non-invasive way.
ObjectiveTo systematically review the economic evaluation research of anti-novel coronavirus infection drugs at home and abroad, so as to promote clinical rational drug use. MethodsThe PubMed, Cochrane Library, EMbase, Web of Science, INAHTA, SinoMed, WanFang Data, and CNKI databases were systematically searched from January 1, 2020 to March 25, 2023, to collect economic evaluation studies related to anti-novel coronavirus infection drugs. ResultsA total of 22 articles were included, among which 11 studies were conducted from the perspective of health system, and most of the studies performed cost estimation on direct medical costs. The overall compliance rate of the included studies ranged from 42% to 70%, with deficiencies in model setting, incomplete uncertainty analysis, and lack of stakeholder participation. The results showed that immunotherapy drugs (Dexamethasone, Tocilizumab), neutralizing antibody (REGEN-COV antibody), small molecule drugs (Baricitinib, Nirmatrelvir/Ritonavir, Molnupiravir, Favipiravir) and statin were cost-effective. There was some variation in the results of the economic evaluation of Remdesivir. ConclusionAt present, there are few studies on the economic evaluation of drug interventions in COVID-19. Existing studies have pointed out that most drug interventions are cost-effective. It is suggested that more standardized pharmacoeconomic evaluation studies based on the actual situation of China epidemic should be carried out in the future.
Diabetic retinopathy (DR) is one of the microvascular complications of diabetes mellitus causing severe visual impairment, and it is the main cause of blindness in adults. Metabolic abnormalities play an important role in the occurrence and development of DR, including the abnormal levels of glucose metabolism, lipid metabolism, amino acid metabolism and purine metabolism, which indicate that there are disorders of phosphopentose pathway, arginine metabolism pathway, polyol pathway and ascorbic acid pathway in the progression of DR. Metabolomics has great advantages in exploring the pathogenesis and diagnosis of DR, helping to identify the characteristic metabolic changes of DR And discover potential biomarkers. However, the existing metabolomics studies on DR have some limitations, such as the potential biomarkers found in some studies are difficult to verify in other studies due to differences in race, age, gender and sample size. There are few studies on biomarkers at different stages of DR. Therefore, in the future, multi-center and large-scale clinical studies are needed to screen out biomarkers with practical clinical diagnostic value.
Portable electrocardiogram monitor is an important equipment in the clinical diagnosis of cardiovascular diseases due to its portable, real-time features. It has a broad application and development prospects in China. In the present review, previous researches on the portable electrocardiogram monitors have been arranged, analyzed and summarized. According to the characteristics of the electrocardiogram (ECG), this paper discusses the ergonomic design of the portable electrocardiogram monitor, including hardware and software. The circuit components and software modules were parsed from the ECG features and system functions. Finally, the development trend and reference are provided for the portable electrocardiogram monitors and for the subsequent research and product design.
ObjectiveTo investigate the feasibility, safety, cost, and patient satisfaction of ambulatory laparo-scopic cholecystectomy(ALC). MethodsThe clinical data of patients who divided into ALC group(678 cases) and in-patient laparoscopic cholecystectomy(IPLC) group(1 534 cases) in our hospital from April 2011 to December 2012 were retrospectively analyzed. The operative time, conversion rate, complication rate, hospitalization time, cost of hospi-talization, rehospitalization rate, and patient satisfaction were analyzed and evaluated. ResultsThere were no significant differences of the operative time, postoperative complication rate, and rehospitalization rate between the 2 groups(P > 0.05). The conversion rate(0.44%), and hospitalization time[(1.2±0.5)d] of the ALC group were significantly lower or shorter than those of IPLC group[3.19%, (4.8±1.3) d], P < 0.05. The direct, indirect health care costs, and the total costs of the ALC group were (6 555.6±738.7), (230.0±48.0), and (8 856.0±636.0) yuan, respec-tively; and lower than those of the IPLC group[(7 863.71, 014.6), (973.0±136.5), and(8 856.0±636.0)yuan], P < 0.05. ConclusionALC is safe and feasible, and could shorten the hospitalization time, lower the medical cost, speed up the bed turnover, and increase the efficiency in the use of health resource.
Objective To analysis and explore the value of metagenomics next-generation sequencing (mNGS) and clinical characteristics of Chlamydia psittaci (C. psittaci) pneumonia. Methods Totally 5 patients who were diagnosed with C. psittaci pneumonia and were treated in the Department of Respiratory and Critical Care Medicine and the Department of Infectious Diseases of Huazhong University of Science and Technology Union Shenzhen Hospital from Febuary 2021 to March 2021 were enrolled in the study. The clinical data of the patients were analyzed, and the clinical characteristics of the disease and treatment experience were summarized. Results The main symptoms of the 5 patients were high fever and cough, 4 of them had a history of raising parrots. The white blood cell and the neutrophils were mostly normal or slightly increased, the C reactive protein and erythrocyte sedimentation rate were significantly increased. The chest CT showed exudation and consolidation of one or several lung lobes. The serious patients might develop respiratory failure, if they were not treated by effective antibiotics. The diagnosis was based on clinical manifestations, contact history and alveolar lavage fluid that were detected by mNGS technology of C. psittaci nucleic acid sequence. The accuracy of detecting pathogens in alveolar lavage fluid by mNGS was high. In addition, mNGS could also identify other bacteria or viruses. After the timely adjustment of treatment, the condition of the patients was improved relied on tetracycline drugs or quinolone drugs, which shortened the diagnosis time and course of C. psittaci pneumnonia and reduced the use of unnecessary antibacterial drugs. Conclusions mNGS is of great significance in diagnosing C. psittaci pneumonia. The timely use of appropriate antibacterial drugs can achieve favorable therapeutic effect.
Lung cancer is a malignant tumor with the highest mortality worldwide, and its early diagnosis and evaluation have a crucial impact on the comprehensive treatment of patients. Early preoperative diagnosis of lung cancer depends on a variety of imaging and tumor marker indicators, but it cannot be accurately assessed due to its high false positive rate. Liquid biopsy biomarkers can detect circulating tumor cells and DNA in peripheral blood by non-invasive methods and are gradually becoming a powerful diagnostic tool in the field of precision medicine for tumors. This article reviews the research progress of liquid biopsy biomarkers and their combination with clinical imaging features in the early diagnosis of lung cancer.
Objective To develop a radiomics nomogram based on contrast-enhanced CT (CECT) for preoperative prediction of high-risk and low-risk thymomas. Methods Clinical data of patients with thymoma who underwent surgical resection and pathological confirmation at Northern Jiangsu People's Hospital from January 2018 to February 2023 were retrospectively analyzed. Feature selection was performed using the Pearson correlation coefficient and least absolute shrinkage and selection operator (LASSO) method. An ExtraTrees classifier was used to construct the radiomics signature model and the radiomics signature. Univariate and multivariable logistic regression was applied to analyze clinical-radiological characteristics and identify variables for developing a clinical model. The radiomics nomogram model was developed by combining the radiomics signature and clinical features. Model performance was evaluated using area under the curve (AUC), sensitivity, specificity, accuracy, negative predictive value, and positive predictive value. Calibration curves and decision curves were plotted to assess model accuracy and clinical values. Results A total of 120 patients including 59 females and 61 males with an average age of 56.30±12.10 years. There were 84 patients in the training group and 36 in the validation group, 62 in the low-risk thymoma group and 58 in the high-risk thymoma group. Radiomics features (1 038 in total) were extracted from the arterial phase of CECT scans, among which 6 radiomics features were used to construct the radiomics signature. The radiomics nomogram model, combining clinical-radiological characteristics and the radiomics signature, achieved an AUC of 0.872 in the training group and 0.833 in the validation group. Decision curve analysis demonstrated better clinical efficacy of the radiomics nomogram than the radiomics signature and clinical model. Conclusion The radiomics nomogram based on CECT showed good diagnostic value in distinguishing high-risk and low-risk thymoma, which may provide a noninvasive and efficient method for clinical decision-making.
ObjectivesTo review the pharmacoeconomic evaluation of rheumatoid arthritis patients with an inadequate efficacy or intolerance with conventional synthetic disease modifying antirheumatic drugs (csDMARDs).MethodsCNKI, WanFang Data, VIP, PubMed, EMbase, Web of Science and The Cochrane Library were electronically searched to collect pharmacoeconomic studies about rheumatoid arthritis patients with an inadequate efficacy or intolerance with csDMARDs from inception to February 2019. Two reviewers independently screened literature, extracted data and assessed risk of bias of the included studies, then, descriptive analysis was performed.ResultsA total of 16 studies were included, where most compared the economics of different treatment methods from the perspective of the payer by cohort or individual model. The economic costs in the studies were primarily on direct cost. Sensitivity analyses were used to prove the robustness of the main analysis in each study. Biological disease-modifying antirheumatic drugs (bDMARDs) might be more cost-effective than csDMARDs. In addition, compared with the bDMARDs, new-marketed targeted synthetic disease-modifying antirheumatic drugs (tsDMARDs) might be more cost-effective.ConclusionsIt could be considered to implement more new marketed tsDMARDs to improve patients’ condition to reduce the economic burden and optimize the allocation of health care resources.
ObjectiveTo improve the understanding of psittacosis, the clinical data of 8 cases are reviewed. The application of pathogen metagenomics next-generation sequencing (mNGS) in the diagnosis of nocardiosis is also investigated.MethodsThe clinical data of eight patients with psittacosis diagnosed by mNGS in Nanjing Drum Tower Hospital from January 2018 to May 2020 were reviewed. The clinical characteristics, laboratory examination characteristics and imaging changes were analyzed, and the treatment outcome was followed-up.ResultsAmong the eight cases, there were six males and two females, aged 43～83 years old, with an average age of 64±12 years old. Six of them had a clear history of poultry exposure. The major clinical manifestations were fever, cough, dyspnea, etc. Chest high-resolution computed tomography (HRCT) may have solid shadow, ground glass like shadow. Chlamydia psittaci was detected by mNGS in eight patients’ bronchoalveolar lavage fluid. Minocycline or moxifloxacin were administrated, six patients were discharged after their condition improved, and two patients died.ConclusionsThe incidence of psittacosis is low, and its clinical manifestations lack specificity. In the course of the disease, there may be different degrees of fever, cough, sputum, dyspnea and other symptoms. The lungs can be heard with wet rales, chest HRCT can be seen ground glass shadow, consolidation shadow, accompanied by air bronchogram. Chlamydia psittaci can be detected in alveolar lavage fluid by mNGS. The patients need to be treated for a long time, lasting at least 10 to 14 days. Tetracycline drugs should be the first choice, and can be combined with other antibiotics with activity against gram-positive and gram-negative bacteria in critical patients.