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Arab Journal of Urology 2021: To provide a summary of the current evaluation of azoospermia and insights into future perspectives in the evaluation and counselling of men with azoospermia. : A...
: To provide a summary of the current evaluation of azoospermia and insights into future perspectives in the evaluation and counselling of men with azoospermia. : A search of PubMed, Cochrane Reviews and Web of Science databases was performed for full-text English-language articles published between 1943 and 2020 focussing on 'future perspectives', 'azoospermia' and 'evaluation'. : Azoospermia represents a severe form of male infertility characterised by sperm production so impaired that there are no sperm present in the ejaculate. The current evaluation of azoospermia focusses on patient history and physical examination with selected adjunctive laboratory investigations including serum hormones, a karyotype and screening for Y chromosome microdeletions. Future diagnostics are focussed on identifying the underlying genetic aetiologies for azoospermia, as well as a greater emphasis on screening for systemic illness that men with severe infertility may be predisposed to develop. : Azoospermia represents an extreme form of male infertility, and evaluation relies heavily on history and physical examination, as genetic evaluations for these individuals remain limited. Future evaluation will focus on next-generation sequencing and more rigorous evaluation for possible co-existing and future risk of systemic disease. : ADGRG2, adhesion G protein-coupled receptor G2; ASRM: American Society of Reproductive Medicine; AZF: azoospermia factor; CBAVD: congenital bilateral absence of the vas deferens; CFTR: cystic fibrosis transmembrane conductance regulator; CRKL: CRK-like proto-oncogene; E2F1: E2F transcription factor 1; HAUS7: HAUS augmin-like complex subunit 7; HR: hazard ratio; KS: Klinefelter syndrome; MAZ, MYC-associated zinc finger protein; NGS: next-generation sequencing; NOA: non-obstructive azoospermia; OA: obstructive azoospermia; RHOX: reproductive homeobox on the X chromosome; SH2: SRC homology 2; TAF7L: TATA-box binding protein associated factor 7-like; TEX11: testis-expressed 11; WES: whole-exome sequencing.
PubMed: 34552771
DOI: 10.1080/2090598X.2021.1954415 -
BMC Infectious Diseases Aug 2021Mortality rates of coronavirus disease-2019 (COVID-19) continue to rise across the world. The impact of several risk factors on coronavirus mortality has been previously... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Mortality rates of coronavirus disease-2019 (COVID-19) continue to rise across the world. The impact of several risk factors on coronavirus mortality has been previously reported in several meta-analyses limited by small sample sizes. In this systematic review, we aimed to summarize available findings on the association between comorbidities, complications, smoking status, obesity, gender, age and D-dimer, and risk of mortality from COVID-19 using a large dataset from a number of studies.
METHOD
Electronic databases including Google Scholar, Cochrane Library, Web of Sciences (WOS), EMBASE, Medline/PubMed, COVID-19 Research Database, and Scopus, were systematically searched till 31 August 2020. We included all human studies regardless of language, publication date or region. Forty-two studies with a total of 423,117 patients met the inclusion criteria. To pool the estimate, a mixed-effect model was used. Moreover, publication bias and sensitivity analysis were evaluated.
RESULTS
The findings of the included studies were consistent in stating the contribution of comorbidities, gender, age, smoking status, obesity, acute kidney injury, and D-dimer as a risk factor to increase the requirement for advanced medical care. The analysis results showed that the pooled prevalence of mortality among hospitalized patients with COVID-19 was 17.62% (95% CI 14.26-21.57%, 42 studies and 423,117 patients). Older age has shown increased risk of mortality due to coronavirus and the pooled odds ratio (pOR) and hazard ratio (pHR) were 2.61 (95% CI 1.75-3.47) and 1.31 (95% CI 1.11-1.51), respectively. A significant association were found between COVID-19 mortality and male (pOR = 1.45; 95% CI 1.41-1.51; pHR = 1.24; 95% CI 1.07-1.41), and current smoker (pOR = 1.42; 95% CI 1.01-1.83). Furthermore, risk of mortality among hospitalized COVID-19 patients is highly influenced by patients with Chronic Obstructive Pulmonary Disease (COPD), Cardiovascular Disease (CVD), diabetes, hypertension, obese, cancer, acute kidney injury and increase D-dimer.
CONCLUSION
Chronic comorbidities, complications, and demographic variables including acute kidney injury, COPD, diabetes, hypertension, CVD, cancer, increased D-dimer, male gender, older age, current smoker, and obesity are clinical risk factors for a fatal outcome associated with coronavirus. The findings could be used for disease's future research, control and prevention.
Topics: Aged; COVID-19; Cardiovascular Diseases; Comorbidity; Humans; Male; Risk Factors; SARS-CoV-2
PubMed: 34418980
DOI: 10.1186/s12879-021-06536-3 -
ESC Heart Failure Oct 2021Takotsubo cardiomyopathy (TCM), characterized by reversible ventricular dysfunction, has similar mortality to acute coronary syndrome. With the growing interest in the... (Review)
Review
Takotsubo cardiomyopathy (TCM), characterized by reversible ventricular dysfunction, has similar mortality to acute coronary syndrome. With the growing interest in the diagnosis of and interventions for TCM, many risk factors had been found to affect the prognosis of TCM patients, such as age, sex, and pre-existing diseases. Because of the incomplete understanding of the pathophysiologic mechanism in TCM, evidence-based medical therapy for this condition is lacking. Early intervention on risk factors may improve the outcomes of TCM. In this review, we sought to provide up-to-date evidence on risk factors and medical therapies that affect TCM outcome. We found that male sex, physical triggers, and certain comorbidities such as chronic kidney disease, malignant disease, higher body mass index, sepsis, chronic obstructive pulmonary disease, and anaemia were associated with poor TCM prognosis. In contrast, race, hyperlipidaemia, diabetes mellitus, and mood disorders were not clearly associated with TCM prognosis. We also reviewed the effect of medical therapies on TCM outcome, including angiotensin-converting enzyme inhibitors/angiotensin receptor blockers, β-blockers, calcium channel blockers, and statins. The evidence that these medications confer a survival benefit on TCM patients is limited. Understanding these prognostic factors could help develop risk-stratification tools for TCM and establish effective prevention and interventions for this not-so-benign condition. Further multicentre clinical studies with large samples and meta-analyses of findings from previous studies are needed to address the inconsistent findings among the many potential risk factors for TCM.
Topics: Body Mass Index; Comorbidity; Humans; Male; Prognosis; Risk Factors; Takotsubo Cardiomyopathy
PubMed: 34374223
DOI: 10.1002/ehf2.13531 -
Frontiers in Public Health 2021The EQ-5D-5L is a generic preference-based questionnaire developed by the EuroQol Group to measure health-related quality of life (HRQoL) in 2005. Since its... (Meta-Analysis)
Meta-Analysis
The EQ-5D-5L is a generic preference-based questionnaire developed by the EuroQol Group to measure health-related quality of life (HRQoL) in 2005. Since its development, it has been increasingly applied in populations with various diseases and has been found to have good reliability and sensitivity. This study aimed to summarize the health utility elicited from EQ-5D-5L for patients with different diseases in cross-sectional studies worldwide. Web of Science, MEDLINE, EMBASE, and the Cochrane Library were searched from January 1, 2012, to October 31, 2019. Cross-sectional studies reporting utility values measured with the EQ-5D-5L in patients with any specific disease were eligible. The language was limited to English. Reference lists of the retrieved studies were manually searched to identify more studies that met the inclusion criteria. Methodological quality was assessed with the Agency for Health Research and Quality (AHRQ) checklist. In addition, meta-analyses were performed for utility values of any specific disease reported in three or more studies. In total, 9,400 records were identified, and 98 studies met the inclusion criteria. In the included studies, 50 different diseases and 98,085 patients were analyzed. Thirty-five studies involving seven different diseases were included in meta-analyses. The health utility ranged from 0.31 to 0.99 for diabetes mellitus [meta-analysis random-effect model (REM): 0.83, (95% CI = 0.77-0.90); fixed-effect model (FEM): 0.93 (95% CI = 0.93-0.93)]; from 0.62 to 0.90 for neoplasms [REM: 0.75 (95% CI = 0.68-0.82); FEM: 0.80 (95% CI = 0.78-0.81)]; from 0.56 to 0.85 for cardiovascular disease [REM: 0.77 (95% CI = 0.75-0.79); FEM: 0.76 (95% CI = 0.75-0.76)]; from 0.31 to 0.78 for multiple sclerosis [REM: 0.56 (95% CI = 0.47-0.66); FEM: 0.67 (95% CI = 0.66-0.68)]; from 0.68 to 0.79 for chronic obstructive pulmonary disease [REM: 0.75 (95% CI = 0.71-0.80); FEM: 0.76 (95% CI = 0.75-0.77)] from 0.65 to 0.90 for HIV infection [REM: 0.84 (95% CI = 0.80-0.88); FEM: 0.81 (95% CI = 0.80-0.82)]; from 0.37 to 0.89 for chronic kidney disease [REM: 0.70 (95% CI = 0.48-0.92; FEM: 0.76 (95% CI = 0.74-0.78)]. EQ-5D-5L is one of the most widely used preference-based measures of HRQoL in patients with different diseases worldwide. The variation of utility values for the same disease was influenced by the characteristics of patients, the living environment, and the EQ-5D-5L value set. : https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42020158694.
Topics: Cross-Sectional Studies; HIV Infections; Humans; Quality of Life; Reproducibility of Results; Surveys and Questionnaires
PubMed: 34268287
DOI: 10.3389/fpubh.2021.675523 -
Annals of Palliative Medicine Jul 2021Cases of carbapenem-resistant Klebsiella pneumoniae infection have been increasing. Patients with carbapenem-resistant Klebsiella pneumoniae infection have a poor... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Cases of carbapenem-resistant Klebsiella pneumoniae infection have been increasing. Patients with carbapenem-resistant Klebsiella pneumoniae infection have a poor prognosis and a high mortality rate. Identification of potential risk factors associated with carbapenem-resistant Klebsiella pneumoniae infection-related mortality may help improve patient outcomes.
METHODS
Embase, PubMed, and the Cochrane Library databases were searched to identify articles describing predictors of mortality in patients with carbapenem-resistant Klebsiella pneumoniae infection. The quality of articles was assessed with the Newcastle-Ottawa Scale score (NOS). Review Manager was used for statistical analyses.
RESULTS
Twenty-seven observational studies were included in the analysis. Factors associated with higher mortality were septic shock [odds ratio (OR): 4.41, 95% CI: 3.17-6.15], congestive heart failure (OR: 2.65, 95% CI: 1.71-4.13), chronic obstructive pulmonary disease (COPD; OR: 2.43, 95% CI: 1.87-3.15), chronic kidney disease (CKD; OR: 1.78, 95% CI: 1.43-2.22), diabetes mellitus (OR: 1.41, 95% CI: 1.16-1.72), mechanical ventilation (OR: 1.65, 95% CI: 1.25-2.18), and inappropriate empirical antimicrobial treatment (OR: 1.25, 95% CI: 1.03-1.52). The average Acute Physiology and Chronic Health Evaluation (APACHE) II score at the time of diagnosis of carbapenem-resistant Klebsiella pneumoniae infection was considerably higher in patients who did not survive than in those who survived (weighted mean difference: 5.86, 95% CI: 2.46-9.26).
DISCUSSION
Patient condition, timing appropriate antimicrobial treatment, and disease severity according to the APACHE II score are the most important risk factors for death in patients with carbapenem-resistant Klebsiella pneumoniae infection. Our finding may help predict patients' outcomes and improve management for them.
REGISTRATION NUMBER
20210417EuEGX/INPLASY2020100037.
Topics: Anti-Bacterial Agents; Carbapenem-Resistant Enterobacteriaceae; Carbapenems; Humans; Klebsiella Infections; Klebsiella pneumoniae; Risk Factors
PubMed: 34263631
DOI: 10.21037/apm-21-338 -
PloS One 2021We aimed to systematically identify the possible risk factors responsible for severe cases. (Meta-Analysis)
Meta-Analysis
OBJECTIVE
We aimed to systematically identify the possible risk factors responsible for severe cases.
METHODS
We searched PubMed, Embase, Web of science and Cochrane Library for epidemiological studies of confirmed COVID-19, which include information about clinical characteristics and severity of patients' disease. We analyzed the potential associations between clinical characteristics and severe cases.
RESULTS
We identified a total of 41 eligible studies including 21060 patients with COVID-19. Severe cases were potentially associated with advanced age (Standard Mean Difference (SMD) = 1.73, 95% CI: 1.34-2.12), male gender (Odds Ratio (OR) = 1.51, 95% CI:1.33-1.71), obesity (OR = 1.89, 95% CI: 1.44-2.46), history of smoking (OR = 1.40, 95% CI:1.06-1.85), hypertension (OR = 2.42, 95% CI: 2.03-2.88), diabetes (OR = 2.40, 95% CI: 1.98-2.91), coronary heart disease (OR: 2.87, 95% CI: 2.22-3.71), chronic kidney disease (CKD) (OR = 2.97, 95% CI: 1.63-5.41), cerebrovascular disease (OR = 2.47, 95% CI: 1.54-3.97), chronic obstructive pulmonary disease (COPD) (OR = 2.88, 95% CI: 1.89-4.38), malignancy (OR = 2.60, 95% CI: 2.00-3.40), and chronic liver disease (OR = 1.51, 95% CI: 1.06-2.17). Acute respiratory distress syndrome (ARDS) (OR = 39.59, 95% CI: 19.99-78.41), shock (OR = 21.50, 95% CI: 10.49-44.06) and acute kidney injury (AKI) (OR = 8.84, 95% CI: 4.34-18.00) were most likely to prevent recovery. In summary, patients with severe conditions had a higher rate of comorbidities and complications than patients with non-severe conditions.
CONCLUSION
Patients who were male, with advanced age, obesity, a history of smoking, hypertension, diabetes, malignancy, coronary heart disease, hypertension, chronic liver disease, COPD, or CKD are more likely to develop severe COVID-19 symptoms. ARDS, shock and AKI were thought to be the main hinderances to recovery.
Topics: Adult; Age Factors; Aged; Aged, 80 and over; COVID-19; Cerebrovascular Disorders; Comorbidity; Diabetes Mellitus; Female; Humans; Hypertension; Liver Diseases; Male; Middle Aged; Neoplasms; Obesity; Pulmonary Disease, Chronic Obstructive; Renal Insufficiency, Chronic; Risk Factors; Sex Factors; Smoking; Young Adult
PubMed: 33939733
DOI: 10.1371/journal.pone.0250602 -
Minerva Urology and Nephrology Jun 2021Retrograde ureteroscopy (URS), intra-renal surgery (RIRS) and percutaneous nephrolithotomy (PCNL) represent routine interventions for the treatment of ureteral and renal... (Review)
Review
INTRODUCTION
Retrograde ureteroscopy (URS), intra-renal surgery (RIRS) and percutaneous nephrolithotomy (PCNL) represent routine interventions for the treatment of ureteral and renal stones, although at times associated with serious adverse events. Of note, the evidence on perioperative complications after these procedures remains sparse and controversial. Moreover, there is a lack of standardized reporting of adverse events using uniform systems. The aim of the present study was to systematically review of the available evidence on URS/RIRS and PCNL for the surgical treatment of urinary stone, assessing the incidence of intra- and postoperative events, classified according to the modified Clavien-Dindo scale.
EVIDENCE ACQUISITION
A systematic review of the literature was performed according to PRISMA recommendations and was conducted on intra- and postoperative complications, as well as on their management, following URS, RIRS and PCNL procedures, particularly focusing on major events.
EVIDENCE SYNTHESIS
Overall, 26 studies (13 on URS/RIRS and 11 on PCNL) met the inclusion criteria and were evaluated. The highest intraoperative complication rate was 11.5% and 8.5% for RIRS and PCNL, respectively. Major complication rate following URS/RIRS and PCNL ranged between 0.3-31.7% and 2-17.1%, respectively. The most frequent adverse events were obstructive pyelonephritis or urinary leakage requiring the placement of a double J stent or a drainage. Among PCNLs series, life-threatening adverse events have also been reported, including bleeding requiring renal angioembolization and urothorax.
CONCLUSIONS
Despite the inclusion of series using a standardized reporting system, the complication rate after URS/RIRS/PCNL remains extensively heterogeneous in the literature; in addition, a non-negligible proportion of studies did not characterize the adverse events nor report the actual management strategy to solve them. Future research is needed to standardize the classification and reporting of surgical complications after endourological procedures (taking into consideration the surgeon's experience and skills), aiming to improve patient counseling and potentially the strategy for their prevention.
Topics: Humans; Intraoperative Complications; Kidney; Kidney Calculi; Nephrolithotomy, Percutaneous; Postoperative Complications; Treatment Outcome; Ureteroscopy; Urologic Surgical Procedures
PubMed: 33887891
DOI: 10.23736/S2724-6051.21.04294-4 -
PloS One 2021Readmission following hospital discharge is common and is a major financial burden on healthcare systems. (Meta-Analysis)
Meta-Analysis
Strategies to prevent hospital readmission and death in patients with chronic heart failure, chronic obstructive pulmonary disease, and chronic kidney disease: A systematic review and meta-analysis.
BACKGROUND
Readmission following hospital discharge is common and is a major financial burden on healthcare systems.
OBJECTIVES
Our objectives were to 1) identify studies describing post-discharge interventions and their efficacy with respect to reducing risk of mortality and rate of hospital readmission; and 2) identify intervention characteristics associated with efficacy.
METHODS
A systematic review of the literature was performed. We searched MEDLINE, PubMed, Cochrane, EMBASE and CINAHL. Our selection criteria included randomized controlled trials comparing post-discharge interventions with usual care on rates of hospital readmission and mortality in high-risk chronic disease patient populations. We used random effects meta-analyses to estimate pooled risk ratios for all-cause and cause-specific mortality as well as all-cause and cause-specific hospitalization.
RESULTS
We included 31 randomized controlled trials encompassing 9654 patients (24 studies in CHF, 4 in COPD, 1 in both CHF and COPD, 1 in CKD and 1 in an undifferentiated population). Meta-analysis showed post-discharge interventions reduced cause-specific (RR = 0.71, 95% CI = 0.63-0.80) and all cause (RR = 0.90, 95% CI = 0.81-0.99) hospitalization, all-cause (RR = 0.73, 95% CI = 0.65-0.83) and cause-specific mortality (RR = 0.68, 95% CI = 0.54-0.84) in CHF studies, and all-cause hospitalization (RR = 0.52, 95% CI = 0.32-0.83) in COPD studies. The inclusion of a cardiac nurse in the multidisciplinary team was associated with greater efficacy in reducing all-cause mortality among patients discharged after heart failure admission (HR = 0.64, 95% CI = 0.54-0.75 vs. HR = 0.87, 95% CI = 0.73-1.03).
CONCLUSIONS
Post-discharge interventions reduced all-cause mortality, cause-specific mortality, and cause-specific hospitalization in CHF patients and all-cause hospitalization in COPD patients. The presence of a cardiac nurse was associated with greater efficacy in included studies. Additional research is needed on the impact of post-discharge intervention strategies in COPD and CKD patients.
Topics: Cause of Death; Heart Failure; Humans; Patient Discharge; Patient Readmission; Patient-Centered Care; Pulmonary Disease, Chronic Obstructive; Quality of Life; Randomized Controlled Trials as Topic; Renal Insufficiency, Chronic
PubMed: 33886582
DOI: 10.1371/journal.pone.0249542 -
Journal of Global Health Mar 2021Understanding the risk factors for poor outcomes among COVID-19 patients could help identify vulnerable populations who would need prioritisation in prevention and... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Understanding the risk factors for poor outcomes among COVID-19 patients could help identify vulnerable populations who would need prioritisation in prevention and treatment for COVID-19. We aimed to critically appraise and synthesise published evidence on the risk factors for poor outcomes in hospitalised COVID-19 patients.
METHODS
We searched PubMed, medRxiv and the WHO COVID-19 literature database for studies that reported characteristics of COVID-19 patients who required hospitalisation. We included studies published between January and May 2020 that reported adjusted effect size of any demographic and/or clinical factors for any of the three poor outcomes: mortality, intensive care unit (ICU) admission, and invasive mechanical ventilation. We appraised the quality of the included studies using Joanna Briggs Institute appraisal tools and quantitatively synthesised the evidence through a series of random-effect meta-analyses. To aid data interpretation, we further developed an interpretation framework that indicated strength of the evidence, informed by both quantity and quality of the evidence.
RESULTS
We included a total of 40 studies in our review. Most of the included studies (29/40, 73%) were assessed as "good quality", with assessment scores of 80 or more. We found that male sex (pooled odds ratio (OR) = 1.32 (95% confidence interval (CI) = 1.18-1.48; 20 studies), older age (OR = 1.05, 95% CI = 1.04-1.07, per one year of age increase; 10 studies), obesity (OR = 1.59, 95% CI = 1.02-2.48; 4 studies), diabetes (OR = 1.25, 95% CI = 1.11-1.40; 11 studies) and chronic kidney diseases (6 studies; OR = 1.57, 95% CI = 1.27-1.93) were associated with increased risks for mortality with the greatest strength of evidence based on our interpretation framework. We did not find increased risk of mortality for several factors including chronic obstructive pulmonary diseases (5 studies), cancer (4 studies), or current smoker (5 studies); however, this does not indicate absence of risk due to limited data on each of these factors.
CONCLUSION
Male sex, older age, obesity, diabetes and chronic kidney diseases are important risk factors of COVID-19 poor outcomes. Our review provides not only an appraisal and synthesis of evidence on the risk factors of COVID-19 poor outcomes, but also a data interpretation framework that could be adopted by relevant future research.
Topics: Aged; COVID-19; Comorbidity; Female; Hospitalization; Humans; Intensive Care Units; Male; Respiration, Artificial; Risk Factors; SARS-CoV-2; Severity of Illness Index
PubMed: 33767855
DOI: 10.7189/jogh.11.10001 -
Annals of the Academy of Medicine,... Jan 2021Coronavirus disease 2019 (COVID-19) cases are increasing rapidly worldwide. Similar to Middle East respiratory syndrome where cardiovascular diseases were present in... (Meta-Analysis)
Meta-Analysis
INTRODUCTION
Coronavirus disease 2019 (COVID-19) cases are increasing rapidly worldwide. Similar to Middle East respiratory syndrome where cardiovascular diseases were present in nearly 30% of cases, the increased presence of cardiovascular comorbidities remains true for COVID-19 as well. The mechanism of this association remains unclear at this time. Therefore, we reviewed the available literature and tried to find the probable association between cardiovascular disease with disease severity and mortality in COVID-19 patients.
METHODS
We searched Medline (via PubMed) and Cochrane Central Register of Controlled Trials for articles published until Sept 5, 2020. Nineteen articles were included involving 6,872 COVID-19 patients.
RESULTS
The random-effect meta-analysis showed that cardiovascular disease was significantly associated with severity and mortality for COVID-19: odds ratio (OR) 2.89, 95% confidence interval (CI) 1.98-4.21 for severity and OR 3.00, 95% CI 1.67-5.39 for mortality, respectively. Risk of COVID-19 severity was higher in patients having diabetes, hypertension, chronic obstructive pulmonary disease, malignancy, cerebrovascular disease and chronic kidney disease. Similarly, patients with diabetes, hypertension, chronic liver disease, cerebrovascular disease and chronic kidney disease were at higher risk of mortality.
CONCLUSION
Our findings showed that cardiovascular disease has a negative effect on health status of COVID-19 patients. However, large prevalence studies demonstrating the consequences of comorbid cardiovascular disease are urgently needed to understand the extent of these concerning comorbidities.
Topics: COVID-19; Cardiovascular Diseases; Humans
PubMed: 33623958
DOI: 10.47102/annals-acadmedsg.2020367