Patient Characteristics and Risk Factors in Invasive Mold Infections: Comparison from a Systematic Review and Database Analysis

SummaryThe risk of stroke in atrial fibrillation (AF) needs to be assessed in each patient to determine the clinical and cost-effectiveness of thromboprophylaxis, with the aim of appropriate use of antithrombotic therapy. To achieve this, stroke risk factors in AF populations need to be identified and stroke risk stratification models have been devised on the basis of these risk factors. In this article, we firstly provide a systematic review of studies examining the attributable stroke risk of various clinical, demographic and echocardiographic patient characteristics in AF populations. Secondly, we performed a systematic review of published stroke risk stratification models, in terms of the results of the review of stroke risk factors and their ability to accurately discriminate between different levels of stroke risk. Thirdly, we review the health economic evidence relating to the cost-effectiveness of anticoagulation and antiplatelet therapy as thromboprophylaxis in AF patients. The studies included in the systematic review of stroke risk factors identified history of stroke or TIA, increasing age, hypertension and structural heart disease (left-ventricular dysfunction or hypertrophy) to be good predictors of stroke risk in AF patients. The evidence regarding diabetes mellitus, gender and other patient characteristics was less consistent. Three stroke risk stratification models were identified that were able to discriminate between different categories of stroke risk to at least 95% accuracy. Few models had addressed the cumulative nature of risk factors where a combination of risk factors would confer a greater risk than either factor alone. In patients at high risk of stroke, anticoagulation is cost effective, but not for those with a low risk of stroke. With the evidence available for stroke risk factors and the various alternative stroke risk stratification models, a review of these models in terms of the evidence on which they are devised and their performance in representative AF populations is important. The appropriate administration of thromboprophylaxis in AF patients would need to balance the risks and benefits of antithrombotic therapy with its cost-effectiveness.

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Prevalence, classification, risk factors and outcome impact of delirium in patients with COVID-19: a meta-analysis protocol for systematic review

BMJ Open ◽

10.1136/bmjopen-2020-048323 ◽

2021 ◽

Vol 11 (12) ◽

pp. e048323

Author(s):

Baohui Lou ◽

Jingfei Guo ◽

Yue Liu ◽

Chao Xiong ◽

Jia Shi ◽

...

Keyword(s):

Risk Factors ◽

Systematic Review ◽

Meta Analysis ◽

Essential Element ◽

Patient Characteristics ◽

Included Study ◽

Adult Patients ◽

Sensitivity Analyses ◽

Institutional Review ◽

Secondary Outcomes

IntroductionPrevious studies have shown mixed results that delirium may result in a high risk of adverse clinical outcomes in patients with COVID-19. The aim of this meta-analysis is to summarise the evidence of prevalence, classification, risk factors and outcomes impact of delirium in adult patients with COVID-19.MethodsA systematic search will be performed in PubMed, EMBase, ISI Knowledge via Web of Science and preprint databases (MedRxiv and BioRxiv) (from inception until June 2021) to identify all cohort studies concerning delirium in adult patients with COVID-19. The primary outcome will be the prevalence of delirium with different classifications (hyperactive, hypoactive or mixed type). The secondary outcomes will include the association of risk factors and the association with all-cause mortality during hospitalisation. Univariable or multivariable meta-regression and subgroup analyses will be conducted for the study design and patient characteristics. Sensitivity analyses were used to assess the robustness of our results by removing each included study at one time to obtain and evaluate the remaining overall estimates of primary and secondary outcomes.Ethics and disseminationEthical approval is not an essential element for the systematic review protocol in accordance with the Institutional Review Board /Independent Ethics Committee of Beijing Hospital. This meta-analysis will be disseminated through a peer-reviewed journal for publication.PROSPERO registration numberCRD42020224871.

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Population risk factors for severe disease and mortality in COVID-19: A global systematic review and meta-analysis

PLoS ONE ◽

10.1371/journal.pone.0247461 ◽

2021 ◽

Vol 16 (3) ◽

pp. e0247461 ◽

Cited By ~ 2

Author(s):

Adam Booth ◽

Angus Bruno Reed ◽

Sonia Ponzo ◽

Arrash Yassaee ◽

Mert Aral ◽

...

Keyword(s):

Risk Factors ◽

Systematic Review ◽

Meta Analysis ◽

Severe Disease ◽

Relevant Literature ◽

Patient Characteristics ◽

Elevated Risk ◽

Adverse Outcomes ◽

Severe Illness ◽

Increased Risk

Aim COVID-19 clinical presentation is heterogeneous, ranging from asymptomatic to severe cases. While there are a number of early publications relating to risk factors for COVID-19 infection, low sample size and heterogeneity in study design impacted consolidation of early findings. There is a pressing need to identify the factors which predispose patients to severe cases of COVID-19. For rapid and widespread risk stratification, these factors should be easily obtainable, inexpensive, and avoid invasive clinical procedures. The aim of our study is to fill this knowledge gap by systematically mapping all the available evidence on the association of various clinical, demographic, and lifestyle variables with the risk of specific adverse outcomes in patients with COVID-19. Methods The systematic review was conducted using standardized methodology, searching two electronic databases (PubMed and SCOPUS) for relevant literature published between 1st January 2020 and 9th July 2020. Included studies reported characteristics of patients with COVID-19 while reporting outcomes relating to disease severity. In the case of sufficient comparable data, meta-analyses were conducted to estimate risk of each variable. Results Seventy-six studies were identified, with a total of 17,860,001 patients across 14 countries. The studies were highly heterogeneous in terms of the sample under study, outcomes, and risk measures reported. A large number of risk factors were presented for COVID-19. Commonly reported variables for adverse outcome from COVID-19 comprised patient characteristics, including age >75 (OR: 2.65, 95% CI: 1.81–3.90), male sex (OR: 2.05, 95% CI: 1.39–3.04) and severe obesity (OR: 2.57, 95% CI: 1.31–5.05). Active cancer (OR: 1.46, 95% CI: 1.04–2.04) was associated with increased risk of severe outcome. A number of common symptoms and vital measures (respiratory rate and SpO2) also suggested elevated risk profiles. Conclusions Based on the findings of this study, a range of easily assessed parameters are valuable to predict elevated risk of severe illness and mortality as a result of COVID-19, including patient characteristics and detailed comorbidities, alongside the novel inclusion of real-time symptoms and vital measurements.

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Population risk factors for severe disease and mortality in COVID-19: A global systematic review and meta-analysis

10.1101/2020.12.21.20248610 ◽

2020 ◽

Author(s):

Adam Booth ◽

Angus Bruno Reed ◽

Sonia Ponzo ◽

Arrash Yassaee ◽

Mert Aral ◽

...

Keyword(s):

Risk Factors ◽

Systematic Review ◽

Meta Analysis ◽

Severe Disease ◽

Relevant Literature ◽

Patient Characteristics ◽

Elevated Risk ◽

Adverse Outcomes ◽

Severe Illness ◽

Increased Risk

AbstractAimCOVID-19 clinical presentation is heterogeneous, ranging from asymptomatic to severe cases. While there are a number of early publications relating to risk factors for COVID-19 infection, low sample size and heterogeneity in study design impacted consolidation of early findings. There is a pressing need to identify the factors which predispose patients to severe cases of COVID-19. For rapid and widespread risk stratification, these factors should be easily obtainable, inexpensive, and avoid invasive clinical procedures. The aim of our study is to fill this knowledge gap by systematically mapping all the available evidence on the association of various clinical, demographic, and lifestyle variables with the risk of specific adverse outcomes in patients with COVID-19.MethodsThe systematic review was conducted using standardized methodology, searching three electronic databases (PubMed, Embase, and Web of Science) for relevant literature published between 1st January 2020 and 9th July 2020. Included studies reported characteristics of patients with COVID-19 while reporting outcomes relating to disease severity. In the case of sufficient comparable data, meta-analyses were conducted to estimate risk of each variable.ResultsSeventy-six studies were identified, with a total of 17,860,001 patients across 14 countries. The studies were highly heterogeneous in terms of the sample under study, outcomes, and risk measures reported. A large number of risk factors were presented for COVID-19. Commonly reported variables for adverse outcome from COVID-19 comprised patient characteristics, including age >75 (OR = 2.65 (1.81–3.90)), male sex (OR = 2.05(1.39–3.04)) and severe obesity (OR = 2.57 (1.31–5.05)). Active cancer (OR = 1.46 (1.04–2.04)) was associated with increased risk of severe outcome. A number of common symptoms and vital measures (respiratory rate and SpO2) also suggested elevated risk profiles.ConclusionsBased on the findings of this study, a range of easily assessed parameters are valuable to predict elevated risk of severe illness and mortality as a result of COVID-19, including patient characteristics and detailed comorbidities, alongside the novel inclusion of real-time symptoms and vital measurements.

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RISK FACTORS FOR FALSE-POSITIVE AND FALSE-NEGATIVE FECAL IMMUNOCHEMICAL TEST RESULTS IN COLORECTAL CANCER SCREENING: SYSTEMATIC REVIEW AND META-ANALYSIS

10.1055/s-0038-1637308 ◽

2018 ◽

Author(s):

CM de Klerk ◽

LM Vendrig ◽

PM Bossuyt ◽

E Dekker

Keyword(s):

Colorectal Cancer ◽

Risk Factors ◽

Systematic Review ◽

Cancer Screening ◽

Colorectal Cancer Screening ◽

False Positive ◽

Meta Analysis ◽

False Negative ◽

Test Results ◽

Immunochemical Test

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Risk factors related to surgical site infections among surgical patients in developing world: a systematic review

International Journal of Medicine in Developing Countries ◽

10.24911/ijmdc.51-1598614458 ◽

2020 ◽

pp. 1984-1992

Author(s):

Faihan Alotaibi ◽

Faisal Alnemari ◽

Alwaleed Alsufyani ◽

Aisha Al-sanea ◽

Abeer Al-Nashri ◽

...

Keyword(s):

Risk Factors ◽

Systematic Review ◽

Developing World ◽

Surgical Site Infections ◽

Surgical Patients

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Stress, anxiety, depression and burnout in frontline health care workers during COVID-19 pandemic: a brief systematic review and new data from Russia

10.31234/osf.io/je3ch ◽

2021 ◽

Author(s):

Ekaterina Mosolova ◽

Dmitry Sosin ◽

Sergey Mosolov

Keyword(s):

Risk Factors ◽

Systematic Review ◽

Female Gender ◽

Assessment Tools ◽

Care Workers ◽

Younger Age ◽

Wide Range ◽

Associated Risk Factors ◽

Anxiety Depression ◽

The Impact

During the COVID-19 pandemic, healthcare workers (HCWs) have been subject to increased workload while also exposed to many psychosocial stressors. In a systematic review we analyze the impact that the pandemic has had on HCWs mental state and associated risk factors. Most studies reported high levels of depression and anxiety among HCWs worldwide, however, due to a wide range of assessment tools, cut-off scores, and number of frontline participants in the studies, results were difficult to compare. Our study is based on two online surveys of 2195 HCWs from different regions of Russia during spring and autumn epidemic outbreaks revealed the rates of anxiety, stress, depression, emotional exhaustion and depersonalization and perceived stress as 32.3%, 31.1%, 45.5%, 74.2%, 37.7% ,67.8%, respectively. Moreover, 2.4% of HCWs reported suicidal thoughts. The most common risk factors include: female gender, nurse as an occupation, younger age, working for over 6 months, chronic diseases, smoking, high working demands, lack of personal protective equipment, low salary, lack of social support, isolation from families, the fear of relatives getting infected. These results demonstrate the need for urgent supportive programs for HCWs fighting COVID-19 that fall into higher risk factors groups.

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