scholarly journals A Left-Sided Prevalence of Lentigo Maligna: A UK Based Observational Study and Review of the Evidence

2015 ◽  
Vol 2015 ◽  
pp. 1-6 ◽  
Author(s):  
Mark Gorman ◽  
Andrew Hart ◽  
Bipin Mathew
Keyword(s):  
Risk Factor ◽  
Uv Light ◽  
Light Exposure ◽  
Significant Risk ◽  
Significant Risk Factor ◽  
Evidence Base ◽  
The Body ◽  
Cumulative Exposure ◽  
Lentigo Maligna ◽  
Recent Trends

Skin cancer has been shown to present asymmetrically, prevalent on the left side of the body, more so in subtypes of cutaneous melanoma such as lentigo maligna. Biases have been linked to cumulative UV light exposure and automobile driving patterns. Though left-right ratios have previously correlated with the side men or women tend to position themselves or countries drive on, more recent trends indicate a consistent left-sided bias. To clarify reasons for changing trends, a review of the evidence base and LM’s laterality in a UK cohort (99 cases 2000–2011) was conducted for the first time. The strong correlation of left-sided excess, found in both genders (ratios 1.381–1.5,P<0.05  X20.841), is congruent with more recent findings. Though evidence indicates that driving position is no longer a risk factor for LM, due most likely to improved car window UV protection, it remains the most commonly attributed cause. Understanding phenomena such as UV lights “scatter effect” or that cumulative exposure may not be a significant risk factor helps rationalize older conclusions that would otherwise appear contradictory. The reasons for left-sided excess remain unclear but may be due to factors requiring further research such as the body’s anatomical/embryological asymmetry.

scholarly journals Association between cumulative serum urate and development of diabetes type II: the Kailuan Study

2019 ◽  
Vol 39 (2) ◽  
pp. 339-346
Author(s):  
Yixuan Han ◽  
Yanying Liu ◽  
Xuejun Liu ◽  
Wenhao Yang ◽  
Ping Yu ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Risk Factor ◽  
Significant Risk ◽  
Significant Risk Factor ◽  
Serum Urate ◽  
Diabetes Type ◽  
Cumulative Exposure ◽  
Type Ii ◽  
Odds Ratios ◽  
Diabetes Type Ii

Abstract Objective To explore whether cumulative serum urate (cumSU) is correlated with diabetes type II mellitus incidence. Methods In this study, we recruited individuals participating in all Kailuan health examinations from 2006 to 2013 without stroke, cancer, gestation, myocardial infarction, and diabetes type II diagnosis in the first three examinations. CumSU was calculated by multiplying the average serum urate concentration and the time between the two examinations (umol/L × year). CumSU levels were categorized into five groups: Q1–Q5. The effect of cumSU on diabetes type II incidence was estimated by logistic regression. Results A total of 36,277 individuals (27,077 men and 9200 women) participated in the final analysis. The multivariate logistic regression model showed the odds ratios (95% confidence intervals) of diabetes type II from Q1 to Q5 were 1.00 (reference), 1.25 (1.00 to 1.56), 1.43 (1.15 to 1.79), 1.49 (1.18 to 1.87), and 1.80 (1.40 to 2.32), respectively. Multivariable odds ratios per 1-standard deviation increase in cumSU were 1.26 (1.17 to 1.37) in all populations, 1.20 (1.10 to 1.32) for men, and 1.52 (1.27 to 1.81) for women, respectively. Conclusions CumSU is a significant risk factor for diabetes type II. Individuals with higher cumSU, especially women, are at a higher risk of diabetes type II independent of other known risk factors.Key Points• Cumulative exposure to serum urate is a significant risk factor for diabetes type II.• Individuals with higher cumSU, especially women, are at a higher risk of diabetes type II.

Association of Low Back Pain with Common Risk Factors: A Community Based Study

2014 ◽  
Vol 25 (2) ◽  
pp. 50-55 ◽  
Author(s):  
Mohammad Moin Uddin ◽  
Aminuddin A Khan ◽  
Ahsanul Hoque Chowdhury ◽  
Ranjan Kumar Guha
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Low Back Pain ◽  
Back Pain ◽  
Significant Risk ◽  
Significant Risk Factor ◽  
The Body ◽  
Control Group ◽  
Low Back ◽  
Community Based

Abstract Background Low back pain is very common in Asian communities. It is a major cause of activity limitation. Its risk factors were not studied well in Asian communities. This study was performed in the rural area to see the association of some common posture related and modifiable risk factors of low back pain. Methods This is a community based case-control study. Participants of both sexes between 30 and 60 years were selected who had low back pain. Data were collected with a semi-structured questionnaire and fifty-one participants were interviewed from which 32 had back pain (cases). Risk factor association was compared with age and ethnicity matched 19 patients without low back pain (control group). Results The point prevalence of low backache was 63%. Mean age of the patients was 45.8 (±10.8 SD) years. Seventy per cent of the back pain patients were females and 30% were males. Back pain was significantly associated with the risk factor ‘bending and twisting movements of the body’ (OR= 4.6 with 95% CI= 1.1 to 18.9, p= 0.041). It was not found to be significantly associated with the other studied risk factors. Conclusion Low back pain had a very high prevalence in rural Bangladesh. Bending and twisting movements of spine was the only posture related significant risk factor of low back pain.

Physical Illness and Suicide Risk in Rural Residents of Contemporary China

Crisis ◽  
2014 ◽  
Vol 35 (5) ◽  
pp. 330-337 ◽  
Author(s):  
Cun-Xian Jia ◽  
Lin-Lin Wang ◽  
Ai-Qiang Xu ◽  
Ai-Ying Dai ◽  
Ping Qin
Keyword(s):  
Risk Factor ◽  
Family Income ◽  
Rural China ◽  
Significant Risk ◽  
Significant Risk Factor ◽  
Health Condition ◽  
Physical Illness ◽  
Rural Residents ◽  
Increased Risk ◽  
Study Population

Background: Physical illness is linked with an increased risk of suicide; however, evidence from China is limited. Aims: To assess the influence of physical illness on risk of suicide among rural residents of China, and to examine the differences in the characteristics of people completing suicide with physical illness from those without physical illness. Method: In all, 200 suicide cases and 200 control subjects, 1:1 pair-matched on sex and age, were included from 25 townships of three randomly selected counties in Shandong Province, China. One informant for each suicide or control subject was interviewed to collect data on the physical health condition and psychological and sociodemographic status. Results: The prevalence of physical illness in suicide cases (63.0%) was significantly higher than that in paired controls (41.0%; χ2 = 19.39, p < .001). Compared with suicide cases without physical illness, people who were physically ill and completed suicide were generally older, less educated, had lower family income, and reported a mental disorder less often. Physical illness denoted a significant risk factor for suicide with an associated odds ratio of 3.23 (95% CI: 1.85–5.62) after adjusted for important covariates. The elevated risk of suicide increased progressively with the number of comorbid illnesses. Cancer, stroke, and a group of illnesses comprising dementia, hemiplegia, and encephalatrophy had a particularly strong effect among the commonly reported diagnoses in this study population. Conclusion: Physical illness is an important risk factor for suicide in rural residents of China. Efforts for suicide prevention are needed and should be integrated with national strategies of health care in rural China.

scholarly journals Higher premature atrial complex burden from the Holter examination predicts poor cardiovascular outcome

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ting-Chun Huang ◽  
Po-Tseng Lee ◽  
Mu-Shiang Huang ◽  
Pei-Fang Su ◽  
Ping-Yen Liu
Keyword(s):  
Risk Factor ◽  
Dose Response ◽  
Cox Model ◽  
Significant Risk ◽  
Significant Risk Factor ◽  
Cardiovascular Death ◽  
Specific Model ◽  
Distribution Model ◽  
All Cause Mortality ◽  
Quartile Group

AbstractPremature atrial complexes (PACs) have been suggested to increase the risk of adverse events. The distribution of PAC burden and its dose–response effects on all-cause mortality and cardiovascular death had not been elucidated clearly. We analyzed 15,893 patients in a medical referral center from July 1st, 2011, to December 31st, 2018. Multivariate regression driven by ln PAC (beats per 24 h plus 1) or quartiles of PAC burden were examined. Older group had higher PAC burden than younger group (p for trend < 0.001), and both genders shared similar PACs distribution. In Cox model, ln PAC remained an independent risk factor for all-cause mortality (hazard ratio (HR) = 1.09 per ln PAC increase, 95% CI = 1.06‒1.12, p < 0.001). PACs were a significant risk factor in cause-specific model (HR = 1.13, 95% CI = 1.05‒1.22, p = 0.001) or sub-distribution model (HR = 1.12, 95% CI = 1.04‒1.21, p = 0.004). In ordinal PAC model, 4th quartile group had significantly higher risk of all-cause mortality than those in 1st quartile group (HR = 1.47, 95% CI = 1.13‒1.94, p = 0.005), but no difference in cardiovascular death were found in competing risk analysis. In subgroup analysis, the risk of high PAC burden was consistently higher than in low-burden group across pre-specified subgroups. In conclusion, PAC burden has a dose response effect on all-cause mortality and cardiovascular death.

Comorbidity and severity-of-illness risk adjustment for hospital-onset Clostridioides difficile infection using data from the electronic medical record

2020 ◽  
pp. 1-7
Author(s):  
Stephanie M. Cabral ◽  
Katherine E. Goodman ◽  
Natalia Blanco ◽  
Surbhi Leekha ◽  
Larry S. Magder ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Risk Adjustment ◽  
Community Hospital ◽  
Significant Risk ◽  
Significant Risk Factor ◽  
Bivariate Analysis ◽  
Patient Admissions ◽  
Clostridioides Difficile ◽  
Risk Adjustment Model

Abstract Objective: To determine whether electronically available comorbidities and laboratory values on admission are risk factors for hospital-onset Clostridioides difficile infection (HO-CDI) across multiple institutions and whether they could be used to improve risk adjustment. Patients: All patients at least 18 years of age admitted to 3 hospitals in Maryland between January 1, 2016, and January 1, 2018. Methods: Comorbid conditions were assigned using the Elixhauser comorbidity index. Multivariable log-binomial regression was conducted for each hospital using significant covariates (P < .10) in a bivariate analysis. Standardized infection ratios (SIRs) were computed using current Centers for Disease Control and Prevention (CDC) risk adjustment methodology and with the addition of Elixhauser score and individual comorbidities. Results: At hospital 1, 314 of 48,057 patient admissions (0.65%) had a HO-CDI; 41 of 8,791 patient admissions (0.47%) at community hospital 2 had a HO-CDI; and 75 of 29,211 patient admissions (0.26%) at community hospital 3 had a HO-CDI. In multivariable regression, Elixhauser score was a significant risk factor for HO-CDI at all hospitals when controlling for age, antibiotic use, and antacid use. Abnormal leukocyte level at hospital admission was a significant risk factor at hospital 1 and hospital 2. When Elixhauser score was included in the risk adjustment model, it was statistically significant (P < .01). Compared with the current CDC SIR methodology, the SIR of hospital 1 decreased by 2%, whereas the SIRs of hospitals 2 and 3 increased by 2% and 6%, respectively, but the rankings did not change. Conclusions: Electronically available patient comorbidities are important risk factors for HO-CDI and may improve risk-adjustment methodology.

scholarly journals Type-2 Diabetes as a Risk Factor for Severe COVID-19 Infection

2021 ◽  
Vol 9 (6) ◽  
pp. 1211
Author(s):  
Mahnaz Norouzi ◽  
Shaghayegh Norouzi ◽  
Alistaire Ruggiero ◽  
Mohammad S. Khan ◽  
Stephen Myers ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Risk Factor ◽  
Inflammatory Responses ◽  
Significant Risk ◽  
Significant Risk Factor ◽  
Diabetic Patients ◽  
Angiotensin Converting Enzyme 2 ◽  
Immune System Dysfunction ◽  
Current Outbreak

The current outbreak caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), termed coronavirus disease 2019 (COVID-19), has generated a notable challenge for diabetic patients. Overall, people with diabetes have a higher risk of developing different infectious diseases and demonstrate increased mortality. Type 2 diabetes mellitus (T2DM) is a significant risk factor for COVID-19 progression and its severity, poor prognosis, and increased mortality. How diabetes contributes to COVID-19 severity is unclear; however, it may be correlated with the effects of hyperglycemia on systemic inflammatory responses and immune system dysfunction. Using the envelope spike glycoprotein SARS-CoV-2, COVID-19 binds to angiotensin-converting enzyme 2 (ACE2) receptors, a key protein expressed in metabolic organs and tissues such as pancreatic islets. Therefore, it has been suggested that diabetic patients are more susceptible to severe SARS-CoV-2 infections, as glucose metabolism impairments complicate the pathophysiology of COVID-19 disease in these patients. In this review, we provide insight into the COVID-19 disease complications relevant to diabetes and try to focus on the present data and growing concepts surrounding SARS-CoV-2 infections in T2DM patients.

Lymphedema: A Significant Risk Factor for Infection and Implant Failure After Total Knee Arthroplasty

2020 ◽  
Vol 28 (23) ◽  
pp. 996-1002 ◽  
Author(s):  
Joshua M. Kolz ◽  
William G. Rainer ◽  
Cody C. Wyles ◽  
Matthew T. Houdek ◽  
Kevin I. Perry ◽  
...  
Keyword(s):  
Total Knee Arthroplasty ◽  
Risk Factor ◽  
Knee Arthroplasty ◽  
Significant Risk ◽  
Significant Risk Factor ◽  
Implant Failure ◽  
Total Knee
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