scholarly journals Relationships between intensity, duration, cumulative dose, and timing of smoking with age at menopause: A pooled analysis of individual data from 17 observational studies

PLoS Medicine ◽  
2018 ◽  
Vol 15 (11) ◽  
pp. e1002704 ◽  
Author(s):  
Dongshan Zhu ◽  
Hsin-Fang Chung ◽  
Nirmala Pandeya ◽  
Annette J. Dobson ◽  
Janet E. Cade ◽  
...  
Author(s):  
R. Beyrouti ◽  
J. G. Best ◽  
A. Chandratheva ◽  
R. J. Perry ◽  
D. J. Werring

Abstract Background and purpose There are very few studies of the characteristics and causes of ICH in COVID-19, yet such data are essential to guide clinicians in clinical management, including challenging anticoagulation decisions. We aimed to describe the characteristics of spontaneous symptomatic intracerebral haemorrhage (ICH) associated with COVID-19. Methods We systematically searched PubMed, Embase and the Cochrane Central Database for data from patients with SARS-CoV-2 detected prior to or within 7 days after symptomatic ICH. We did a pooled analysis of individual patient data, then combined data from this pooled analysis with aggregate-level data. Results We included data from 139 patients (98 with individual data and 41 with aggregate-level data). In our pooled individual data analysis, the median age (IQR) was 60 (53–67) years and 64% (95% CI 54–73.7%) were male; 79% (95% CI 70.0–86.9%) had critically severe COVID-19. The pooled prevalence of lobar ICH was 67% (95% CI 56.3–76.0%), and of multifocal ICH was 36% (95% CI 26.4–47.0%). 71% (95% CI 61.0–80.4%) of patients were treated with anticoagulation (58% (95% CI 48–67.8%) therapeutic). The median NIHSS was 28 (IQR 15–28); mortality was 54% (95% CI 43.7–64.2%). Our combined analysis of individual and aggregate data showed similar findings. The pooled incidence of ICH across 12 cohort studies of inpatients with COVID-19 (n = 63,390) was 0.38% (95% CI 0.22–0.58%). Conclusions Our data suggest that ICH associated with COVID-19 has different characteristics compared to ICH not associated with COVID-19, including frequent lobar location and multifocality, a high rate of anticoagulation, and high mortality. These observations suggest different underlying mechanisms of ICH in COVID-19 with potential implications for clinical treatment and trials.


2021 ◽  
pp. 106002802110497
Author(s):  
Akshaya Srikanth Bhagavathula ◽  
Kota Vidyasaga ◽  
Eyob Alemayehu Gebreyohannes ◽  
Wubshet Tesfaye

Objective: This study aimed to comprehensively evaluate the risk of gastrointestinal bleeding (GIB) with statin monotherapy or with concomitant warfarin use. Data Sources: PubMed, Web of Science, and EMBASE (via Scopus) were searched for observational studies that reported the risk of GIB in adults on statin therapy or with concomitant warfarin use until August 28, 2021. Study Selection and Data Extraction: Observational studies evaluating the risk of GIB in adults (age >18 years) on statin medication or concomitant use with warfarin were included. Data Synthesis: In all, 14 studies with a total of 5 235 123 participants, reporting 48 677 GIB events (43 734 from statin users and 4943 from users of statin combined with warfarin), were included in the analyses. The pooled analysis revealed no difference in the risk of GIB with statin monotherapy (relative risk [RR]: 0.65; 95% CI: 0.42-1.02) or concomitant statin + warfarin use (RR: 0.97; 95% CI: 0.91-1.02). Prior use of statin was not associated with GIB risk (RR: 0.88; 95% CI: 0.63-1.22), whereas a shorter duration of statin use (<5 years) was associated with a lower risk of GIB (RR: 0.42; 95% CI: 0.18-0.97). Relevance to Patient Care and Clinical Practice: This analysis provides strong evidence on the association between statin use (with/without warfarin) and risk of GIB. Conclusion: Statin alone or combined with warfarin was not significantly associated with either an increased or decreased risk of GIB. The GIB risk was significantly lower when statins were used for a short duration (<5 years). The putative relationship between statins and GIB in warfarin users warrant further investigation.


Hypertension ◽  
2020 ◽  
Vol 76 (Suppl_1) ◽  
Author(s):  
Vikramaditya Reddy Samala Venkata ◽  
Rahul Gupta ◽  
Surya Kiran Aedma

Introduction: The pandemic of COVID-19 is caused by severe acute respiratory syndrome coronavirus 2 infection. Although clinical data is limited, studies published so far raise concerns about an association between hypertension and worse clinical outcomes in COVID-19. Our aim was to assess the association between hypertension and mortality in COVID-19 patients. Methods: A systematic electronic search was performed in PubMed, Embase, and Google Scholar. Retrospective studies with original COVID-19 hospitalized patient data and reporting prevalence of hypertension was included in our study. Pooled analysis using a random-effects model was performed to look at the association between hypertension and mortality. Results: 22 studies from 8 countries with over 11,000 patients were included in our analysis. Hypertension was the most prevalent comorbidity in hospitalized COVID-19 patients (42%), followed by diabetes mellitus (23%)(Figure 1). Hypertension by itself was associated with higher rates of mortality (Figure 2). Other less prevalent comorbidities include non-hypertensive cardiovascular disease (11%), CKD (6%), CVA (5%), COPD (4.3%). Conclusion: Hypertension is the most prevalent comorbidity in hospitalized COVID-19 patients, followed by diabetes mellitus and was found to be significantly associated with higher rates of mortality. Surprisingly, hypertension is significantly more common than COPD in this population. The reason for this is unclear, there is no evidence currently that hypertension is directly related to mortality in this population. More randomized studies are needed to assess the effect of hypertension on mortality in COVID-19 patients.


2014 ◽  
Vol 86 (6) ◽  
pp. 933-940 ◽  
Author(s):  
Fabrizio Fabrizi ◽  
Alessandra Penatti ◽  
Piergiorgio Messa ◽  
Paul Martin

2017 ◽  
Vol 141 (4) ◽  
pp. 687-693 ◽  
Author(s):  
Marzieh Araghi ◽  
Maria Rosaria Galanti ◽  
Michael Lundberg ◽  
Anton Lager ◽  
Gunnar Engström ◽  
...  

Diabetes Care ◽  
2012 ◽  
Vol 35 (11) ◽  
pp. 2215-2225 ◽  
Author(s):  
C. R. Cardwell ◽  
L. C. Stene ◽  
J. Ludvigsson ◽  
J. Rosenbauer ◽  
O. Cinek ◽  
...  

2017 ◽  
Vol 57 ◽  
pp. 104-108 ◽  
Author(s):  
Ivo Abraham ◽  
Majed Al Yami ◽  
Seongseok Yun ◽  
Hee-Ju Kim ◽  
Nicole D. Vincelette ◽  
...  

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