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Background and objectives The aim of this study is to assess and examine the risk variables associated with pulmonary infections in non-small cell lung cancer (NSCLC) and to offer evidence-based recommendations for clinical prophylaxis. Methods Up to December 2023, database such as CNKI, Wanfang, VIP Chinese Science and Technology Journals, Chinese Biomedical, Pubmed, Web of science, and the Cochrane library were searched in order to find randomized controlled trials pertaining to non-small cell lung cancer complicated by pulmonary infection. The NOS scale was utilized to assess the quality of the included research, and the Q test findings were utilized to ascertain the degree of heterogeneity among the studies. Results After retrieving 957 studies in total, 10 literatures were ultimately included for additional analysis. Diabetes mellitus [OR, 2.89; 95% CI: 1.85–4.52; P < 0.00001)] hypoalbuminemia, radiotherapy [OR, 0.43; 95% CI: 1.89–4.07; P < 0.00001], and surgical duration exceeding 180 min [OR,1.10 (1.10 ~ 5.38); P = 0.03] were found to be risk factors for lung infection. Nevertheless, in NSCLC patients, pulmonary infection was not significantly correlated with factors such as age [OR, -0.16 (-0.96 ~ 0.64); P = 0.69], sex [OR, 1.08 (0.77 ~ 1.51); P = 0.66], smoking [OR, 1.10 (0.61 ~ 2.00); P = 0.75], adenocarcinoma [OR,1.10 (0.55 ~ 2.22); P = 0.79], OR, 1.08; 95% CI: 0.77–1.51; P = 0.66], TNMIII-IV stages [OR, 1.62; 95% CI: 0.96–2.75; P = 0.07], and hypertension [1.01(0.76 ~ 1.34); P = 0.94]. Conclusion Diabetes mellitus, radiation therapy, and longer than 180-minute surgeries are risk factors for lung infection in NSCLC patients. The incidence of lung infection can be reduced by quickly identifying these risk factors and putting preventive measures in place.
Background and objectives The aim of this study is to assess and examine the risk variables associated with pulmonary infections in non-small cell lung cancer (NSCLC) and to offer evidence-based recommendations for clinical prophylaxis. Methods Up to December 2023, database such as CNKI, Wanfang, VIP Chinese Science and Technology Journals, Chinese Biomedical, Pubmed, Web of science, and the Cochrane library were searched in order to find randomized controlled trials pertaining to non-small cell lung cancer complicated by pulmonary infection. The NOS scale was utilized to assess the quality of the included research, and the Q test findings were utilized to ascertain the degree of heterogeneity among the studies. Results After retrieving 957 studies in total, 10 literatures were ultimately included for additional analysis. Diabetes mellitus [OR, 2.89; 95% CI: 1.85–4.52; P < 0.00001)] hypoalbuminemia, radiotherapy [OR, 0.43; 95% CI: 1.89–4.07; P < 0.00001], and surgical duration exceeding 180 min [OR,1.10 (1.10 ~ 5.38); P = 0.03] were found to be risk factors for lung infection. Nevertheless, in NSCLC patients, pulmonary infection was not significantly correlated with factors such as age [OR, -0.16 (-0.96 ~ 0.64); P = 0.69], sex [OR, 1.08 (0.77 ~ 1.51); P = 0.66], smoking [OR, 1.10 (0.61 ~ 2.00); P = 0.75], adenocarcinoma [OR,1.10 (0.55 ~ 2.22); P = 0.79], OR, 1.08; 95% CI: 0.77–1.51; P = 0.66], TNMIII-IV stages [OR, 1.62; 95% CI: 0.96–2.75; P = 0.07], and hypertension [1.01(0.76 ~ 1.34); P = 0.94]. Conclusion Diabetes mellitus, radiation therapy, and longer than 180-minute surgeries are risk factors for lung infection in NSCLC patients. The incidence of lung infection can be reduced by quickly identifying these risk factors and putting preventive measures in place.
Individuals with diabetes have been greatly affected by the COVID-19 epidemic, highlighting the importance of managing this chronic condition. Diabetes, especially when uncontrolled, can increase the potential for serious sickness and consequences arising from COVID-19. The epidemic has caused significant disruptions in routine diabetes care and access to essential medications and supplies. However, it has also spurred telemedicine and remote monitoring innovations, improving diabetes management. Public health risk efforts have emphasized the importance of vaccination, mask-wearing, and other preventive measures to protect individuals with diabetes and reduce the spread of COVID-19 during the pandemic. Early published reviews on people with diabetes during the COVID-19 pandemic may lack comprehensive data and overlook nuances in diabetes types and social determinants of health risk. A review is needed to synthesize the latest evidence on COVID-19's impact on people with diabetes, addressing risks, outcomes, and management strategies to inform healthcare and policy decisions. This review comprehensively covers the intersection of COVID-19 and diabetes, addressing key areas such as the impact of COVID-19 on diabetes patients, tocilizumab therapy, international guidelines for managing diabetes during the pandemic, the role of diabetes medications, and vulnerable populations. It also explores recovery from the pandemic, the correlation between COVID-19 and diabetes mellitus, as well as the impact of Angiotensin-Converting Enzyme 2 on the infectivity of COVID-19, the occurrence of cytokine storm, and the involvement of the AMPK/mTOR signaling pathway.Moreover, it analyzes the risk factors linked to COVID-19 in persons diagnosed with diabetes and establishes comparisons between those with type 1 and 2 diabetes. Additionally, it reviews the use of telemedicine for managing diabetes, patients undergoing medical treatment for COVID-19, and their glucose-lowering therapies. This review will rectify published reviews' early lacunas and drawbacks by providing a comprehensive and up-to-date analysis of the interaction between COVID-19 and diabetes and address the gaps by synthesizing the latest data on COVID-19's impact on individuals with diabetes, including risks, outcomes, and management strategies.
Studying the consequences of coronavirus infections caused by the SARS-CoV- 2 virus has become crucial in light of its widespread occurrence in society, and the frequent observation of persistent symptoms and health impairments following recovery from the acute phase of the illness. The pandemic has brought about a new chronic, debilitating condition known as long COVID, which deserves serious attention from scientific and medical communities. Currently, we have conflicting knowledge about the factors that may increase the risk of developing such a debilitating condition. The aim of this review was to assess prognostic risk factors for the development of post-COVID-19 conditions. We conducted a systematic search in the databases PubMed, Web of Science, Scopus, CyberLeninka, and the eLibrary electronic library for reports on post-COVID-19 conditions up to April 2024. A total of 52 full-text studies meeting the inclusion criteria were analyzed from both Russian and international sources. The resulting review paper presents a comprehensive overview of recent studies aimed at examining factors preceding COVID-19 infection (gender, age, comorbidities, and others), factors related to COVID-19 infection (severity of acute phase, influence of biomarkers), and the impact of vaccinations on longterm consequences. Much remains unclear regarding long COVID and its risk factors due to conflicting data, possibly caused by the variety of symptoms and complex pathophysiology, including long-term organ damage and unresolved inflammatory processes. This review underscores the high prevalence of post-COVID conditions and the ambiguity in identifying risk factors, necessitating further research for effective management of these conditions.
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