scholarly journals Presence of high‐risk HLA genotype is the most important individual risk factor for coeliac disease among at‐risk relatives

2021 ◽  
Author(s):  
Saana Paavola ◽  
Katri Lindfors ◽  
Laura Kivelä ◽  
Juliana Cerqueira ◽  
Heini Huhtala ◽  
...  
Keyword(s):  
At Risk ◽  
Risk Factor ◽  
High Risk ◽  
Coeliac Disease ◽  
Individual Risk ◽  
Individual Risk Factor ◽  
Hla Genotype

scholarly journals The Effect of Ethnicity on Preterm Birth and its Influence on the Risk Factors for Prematurity

2019 ◽  
pp. 180-192
Author(s):  
P Bachkangi ◽  
AH Taylor ◽  
JC Konje
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Preterm Birth ◽  
High Risk ◽  
Risk Groups ◽  
Individual Risk ◽  
Individual Risk Factor ◽  
Increased Risk ◽  
Gestational Age At Delivery ◽  
Very High

Preterm birth (PTB) affects 9.6% of pregnancies worldwide and is associated with a very high perinatal mortality that depends on the gestational age at delivery. As a result, PTB has a significant health and financial impact on health systems, families and societies. Its aetiology is not fully understood, but in most cases it is multifactorial, with several maternal, paternal, and epidemiological factors associated with increased risk. Other factors include parental ethnicity, maternal age and body mass index, socioeconomic status, and where the families live. This review examines the influence of ethnicity as an individual risk factor for PTB. It also explores its influence on the epidemiology of PTB and demonstrates that data on certain ethnicities are lacking, despite the fact that these ethnic clusters are within the very ‘high-risk groups’ that are adequately represented in some Western societies. This review examines the influence of ethnicity as an individual risk factor for PTB and also explores its influence on the different epidemiological aspects. A thorough revisit of the ethnic epidemiology unveiled other unnoticed risk factors that if addressed appropriately prematurity can be prevented. Moreover, certain ethnicities were not within the attention of researchers, despite the facts that they are very ‘high-risk groups’ and are also adequately represented in some Western societies.

scholarly journals A comparison of lobectomy and total thyroidectomy in patients with papillary thyroid microcarcinoma: a retrospective individual risk factor-matched cohort study

2017 ◽  
Vol 176 (4) ◽  
pp. 371-378 ◽  
Author(s):  
Hyemi Kwon ◽  
Min Ji Jeon ◽  
Won Gu Kim ◽  
Suyeon Park ◽  
Mijin Kim ◽  
...  
Keyword(s):  
Risk Factor ◽  
Cohort Study ◽  
Total Thyroidectomy ◽  
Papillary Thyroid Microcarcinoma ◽  
Individual Risk ◽  
Matched Cohort ◽  
Papillary Thyroid ◽  
Individual Risk Factor ◽  
Matched Cohort Study ◽  
Thyroid Microcarcinoma

Objective Papillary thyroid microcarcinoma (PTMC) accounts for most of the increase in thyroid cancer in recent decades. We compared clinical outcomes and surgical complications of lobectomy and total thyroidectomy (TT) in PTMC patients. Design and methods In this retrospective individual risk factor-matched cohort study, 2031 patients with PTMC were initially included. Patients who underwent lobectomy or TT were one-to-one matched according to individual risk factors, including age, sex, primary tumor size, extrathyroidal extension, multifocality and cervical lymph node (LN) metastasis. Results In total, 688 patients were assigned to each group. During the median 8.5 years of follow-up, 26 patients (3.8%) in the lobectomy group and 11 patients (1.6%) in the TT group had recurrences. The relative risk of recurrence was significantly less in the TT than that in the lobectomy group (hazard ratio (HR) 0.41; 95% confidence interval (CI) 0.21–0.81; P = 0.01). Most recurrences (84.6%) in the lobectomy group occurred in the contralateral lobe, and all patients were disease-free after completion of thyroidectomy. There were no significant differences in recurrence-free survival between the two groups after exclusion of contralateral lobe recurrences (HR, 2.75; 95% CI, 0.08–8.79; P = 0.08). There were significantly more patients with transient and permanent hypoparathyroidism in the TT than that in the lobectomy group (P < 0.001). Conclusions Lobectomy could be appropriate for most patients with PTMC when there is no evidence of extrathyroidal disease in the preoperative work-up. Preoperative and postoperative imaging studies are important for patients who undergo lobectomy for PTMC, because most recurrences are in the contralateral lobe.

scholarly journals Contribution of Individual Risk Factor Changes to Reductions in Population Absolute Cardiovascular Risk

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Thomas Cochrane ◽  
Rachel Davey ◽  
Christopher Gidlow ◽  
Zafar Iqbal ◽  
Jagdish Kumar ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Risk Factor ◽  
High Blood Pressure ◽  
Individual Risk ◽  
High Cholesterol ◽  
Cvd Risk ◽  
Individual Risk Factor ◽  
One Year ◽  
Individual Risk Factors

Background. Few studies have investigated individual risk factor contributions to absolute cardiovascular disease (CVD) risk. Even fewer have examined changes in individual risk factors as components of overall modifiable risk change following a CVD prevention intervention.Design. Longitudinal study of population CVD risk factor changes following a health screening and enhanced support programme.Methods. The contribution of individual risk factors to the estimated absolute CVD risk in a population of high risk patients identified from general practice records was evaluated. Further, the proportion of the modifiable risk attributable to each factor that was removed following one year of enhanced support was estimated.Results. Mean age of patients (533 males, 68 females) was 63.7 (6.4) years. High cholesterol (57%) was most prevalent, followed by smoking (53%) and high blood pressure (26%). Smoking (57%) made the greatest contribution to the modifiable population CVD risk, followed by raised blood pressure (26%) and raised cholesterol (17%). After one year of enhanced support, the modifiable population risk attributed to smoking (56%), high blood pressure (68%), and high cholesterol (53%) was removed.Conclusion. Approximately 59% of the modifiable risk attributable to the combination of high blood pressure, high cholesterol, and current smoking was removed after intervention.

scholarly journals Identifying Patients with Osteoarthritis at Risk of Sarcopenia using the SARC-F

2021 ◽  
Vol 24 (1) ◽  
pp. 1-7
Author(s):  
Maggie Lovett ◽  
Ahmed Negm ◽  
George Ioannidis ◽  
Danielle Petrucelli ◽  
Mitchell Winemaker ◽  
...  
Keyword(s):  
At Risk ◽  
Logistic Regression ◽  
Risk Factor ◽  
High Risk ◽  
Joint Replacement ◽  
Retrospective Review ◽  
Hip Replacement ◽  
Orthopaedic Surgery ◽  
Orthopaedic Surgeon ◽  
Patients At Risk

Background Sarcopenia is an important modifiable risk factor in patients being considered for elective knee or hip replacement as it may be associated with a higher risk of post-operative joint re­placement complications. Our objectives are to determine the prevalence of patients with osteoarthritis at risk of sarcopenia by using the SARC-F tool, and whether risk of sarcopenia is associated with referral to an orthopaedic surgeon. Methods We conducted a retrospective review of patients who were 60 years or older assessed at four Canadian musculoskeletal assessment centres. Patients completed the SARC-F as part of their assessment. Multivariable logistic regression analy­ses were conducted to determine association between risk of sarcopenia and the odds of referral to an orthopedic surgeon for surgical consultation. Results 3,697 patients were included and 67.8% (2,508/3,697) were at risk of sarcopenia. Prevalence was highest in those assessed for hip replacement at 72.3% (635/878). Patients at risk of sarcopenia were more likely to be referred to an orthopaedic surgeon (OR 1.299; SD 1.074-1.571). Conclusions Patients with osteoarthritis assessed for joint replacement are at high risk of sarcopenia, particularly individuals undergo­ing potential hip replacement. Patients at risk of sarcopenia are more likely to be referred to orthopaedic surgery for surgical consultation.

Abstract 15941: Derivation of Risk-Scores That Stratify Risk of Hospitalization and Death in SARS-CoV-2 Positive Patients

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Kirk U Knowlton ◽  
Heidi T May ◽  
Stacey Knight ◽  
Tami L Bair ◽  
Viet T Le ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
High Risk ◽  
Risk Groups ◽  
Risk Scores ◽  
Individual Risk ◽  
Variable Intensity ◽  
Intermountain Healthcare ◽  
Demographic Risk ◽  
Demographic Risk Factor

Introduction: It is well-documented that COVID-19 patients with pre-existing cardiovascular-related disorders are at higher risk of a complicated course. It would be valuable to integrate individual risk factors into overall risk scores for hospitalization and death from COVID-19. Methods: The Intermountain Healthcare medical record database was searched for all individuals tested for SARS-CoV-2 infection up to June 8, 2020. Data from test-positive patients (pts) was analyzed to determine the characteristics of pts requiring hospitalization. From these data, 2 risk scores for hospitalization were derived using multi-variable modeling: of only demographic and risk-factor data, or also including concurrent medications. The risk scores were also applied to predict the risk of dying from COVID-19. Results: Of 104,018 people tested at Intermountain Healthcare for SARS-CoV-2, 5505 (5.3%) were positive. Of test-positive pts, 451 (8.2%) were hospitalized, and 37 (0.7%) died. Using a demographic/risk factor only score, 1.4, 7.0, and 36.6% of low-, moderate-, and high-risk groups, respectively, were hospitalized (AUC=0.826). Using demographic risk-factors and medications, 1.4, 5.6, and 40.3% of low-, moderate-, and high-risk patients were hospitalized (AUC=0.854, Table 1). The demographic/risk factor-score was also predictive of the risk of dying, with 0%, 0.9% and 4.5% in low-, moderate-, and high-risk groups dying (AUC=0.918). Adding medications to the risk-factors model further improved the prediction of death with 0.1, 0.04, and 4.9% in the low-, moderate-, and high-risk groups dying (AUC=0.942, Table 2). Conclusions: We demonstrate the derivation of highly predictive risk scores for COVD-19 patients at low, moderate, and high risks of hospitalization or death. Pending appropriate validation in another cohort, application of these risk-scores may allow healthcare systems to risk-stratify COVID-19 patients requiring variable intensity of care.

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