BackgroundCoronavirus disease 2019 is an evolving infectious disease that dramatically spread all over the world in the early part of 2020. No studies have yet summarized the potential severity and mortality risks caused by COVID-19 in patients with chronic obstructive pulmonary disease (COPD), and we update information in smokers. MethodsWe systematically searched electronic databases from inception to March 24, 2020. Data were extracted by two independent authors in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Study quality was assessed using a modified version of the Newcastle-Ottawa Scale. We synthesized a narrative from eligible studies and conducted a meta-analysis using a random-effects model to calculate pooled prevalence rates and 95% confidence intervals (95%CI). ResultsIn total, 123 abstracts were screened and 61 full-text manuscripts were reviewed. A total of 15 studies met the inclusion criteria, which included a total of 2473 confirmed COVID-19 patients. All studies were included in the meta-analysis. The crude case fatality rate of COVID-19 was 7.4%. The pooled prevalence rates of COPD patients and smokers in COVID-19 cases were 2% (95% CI, 1%-3%) and 9% (95% CI, 4%-14%) respectively. COPD patients were at a higher risk of more severe disease (risk of severity = 63%, (22/35) PLOS ONEPLOS ONE | https://doi.

JSA: Conception, design, data acquisition, analysis, interpretation, drafting manuscript for intellectually important content, and approval of final version; TO: Data acquisition and approval of final version; AMA: Analysis, interpretation and approval of final version; MA: Analysis, interpretation and approval of final version; SM: Analysis, interpretation and approval of final version; AA: data acquisition, analysis and approval of final version; SQ: interpretation and approval of final version; SM: interpretation, and approval of final version.; JRH: Conception, design, analysis, interpretation, and approval of final version.

The mortality and severity in COVID-19 is increased in patients with comorbidities. The aim of this study was to evaluate the severity and mortality in COVID-19 patients with underlying kidney and liver diseases. We retrieved data on the clinical features and primary composite end point of COVID-19 patients from Medline and Embase which had been released from inception by the April 16, 2020. The data on two comorbidities, liver diseases and chronic kidney disease, were pooled and statistically analysed to explain the associated severity and mortality rate. One hundred and forty-two abstracts were screened, and 41 full articles were then read. In total, 22 studies including 5595 COVID-19 patients were included in this study with case fatality rate of 16%. The prevalence of liver diseases and chronic kidney disease (CKD) were 3% (95% CI; 2–3%) and 1% (95% CI; 1–2%), respectively. In patients with COVID-19 and underlying liver diseases, 57.33% (43/75) of cases were severe, with 17.65% mortality, while in CKD patients, 83.93% (47/56) of cases were severe and 53.33% (8/15) mortality was reported. This study found an increased risk of severity and mortality in COVID-19 patients with liver diseases or CKD. This will lead to better clinical management and inform the process of implementing more stringent preventative measures for this group of patients.

BackgroundReadmission rates following hospitalisation for COPD exacerbations are unacceptably high, and the contributing factors are poorly understood. Our objective was to summarise and evaluate the factors associated with 30- and 90-day all-cause readmission following hospitalisation for an exacerbation of COPD.MethodsWe systematically searched electronic databases from inception to 5 November 2019. Data were extracted by two independent authors in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Study quality was assessed using a modified version of the Newcastle–Ottawa Scale. We synthesised a narrative from eligible studies and conducted a meta-analysis where this was possible using a random-effects model.ResultsIn total, 3533 abstracts were screened and 208 full-text manuscripts were reviewed. A total of 32 papers met the inclusion criteria, and 14 studies were included in the meta-analysis. The readmission rate ranged from 8.8–26.0% at 30 days and from 17.5–39.0% at 90 days. Our narrative synthesis showed that comorbidities, previous exacerbations and hospitalisations, and increased length of initial hospital stay were the major risk factors for readmission at 30 and 90 days. Pooled adjusted odds ratios (95% confidence intervals) revealed that heart failure (1.29 (1.22–1.37)), renal failure (1.26 (1.19–1.33)), depression (1.19 (1.05–1.34)) and alcohol use (1.11 (1.07–1.16)) were all associated with an increased risk of 30-day all-cause readmission, whereas being female was a protective factor (0.91 (0.88–0.94)).ConclusionsComorbidities, previous exacerbations and hospitalisation, and increased length of stay were significant risk factors for 30- and 90-day all-cause readmission after an index hospitalisation with an exacerbation of COPD.

Since the beginning of the coronavirus disease (COVID-19) pandemic, the responses of countries to emerging infectious diseases have altered dramatically, increasing the demand for health-care practitioners. Telehealth (TH) applications could have an important role in supporting public health precautions and the control of the spread of the COVID-19 pandemic. This review summarizes the existing literature on the current status of TH applications used during COVID-19 in Saudi Arabia and discusses the extent to which TH can support public health measures. TH mobile applications (e.g., Seha, Mawid, Tawakklna, Tabaud, and Tetamman) have found effective tools to facilitate delivering healthcare to persons with COVID-19, and tracking of COVID-19 patients. TH has been essential in the control of the spread of COVID-19 and has helped to flatten the growth curve in Saudi Arabia. Further research is needed to explore the impact of TH applications on the progression of COVID-19 in Saudi Arabia.