Background Risk Research Articles

Clinical Characteristics of Steatotic Liver Disease Categories in a Large Cohort of Japanese Health Checkup Participants

Background and AimsThe clinical characteristics and risk factors involved in the development of liver fibrosis in the subtypes of steatotic liver disease (SLD) remain unknown. We examined the clinical characteristics of SLD subtypes using a large Japanese cohort. MethodsWe performed a cross-sectional analysis (total n=108,446). In this cohort, SLD was diagnosed by ultrasonography. Individuals with none of the cardiometabolic risk factors were excluded. ResultsAccording to their NAFLD and metabolic dysfunction-associated SLD (MASLD) status based on the database, participants with cardiometabolic criteria were allocated to the MASLD, MASLD with increased alcohol intake (MetALD), and alcohol-associated liver disease (ALD) with metabolic dysfunction groups. Of 30,857 subjects with SLD, 21,488 (69.6%) had nonalcoholic fatty liver disease (NAFLD), and 20,922 (67.8%) had MASLD. There were few differences in the clinical characteristics between NAFLD and MASLD. After adjustment for clinical variables, we found that male patients with MetALD [odds ratio (OR) 2.26; 95% confidence interval (CI) 1.87–2.84] and ALD with metabolic dysfunction (OR 3.92; 95% CI 2.85–5.39) had a significantly higher risk for advanced liver fibrosis (diagnosed by Fibrosis-4 (FIB-4) index >2.67) compared to those with MASLD. In female patients with ALD, metabolic dysfunction (OR 5.80; 95% CI 2.51–13.4) and systemic blood pressure of ≥130 mmHg were significant risk factors for high FIB-4 (males: OR 3.38, 95% CI 2.51–4.55; females: OR 4.34, 95% CI 2.66–7.07, P<0.001). ConclusionsAlcohol intake and systolic blood pressure are independent contributors to liver fibrosis progression assessed by FIB-4 in SLD.

Role of Early On-Treatment Serum HBV RNA Declines in Predicting Hepatocellular Carcinoma Risk in Patients With Chronic Hepatitis B

Background and AimsHepatocellular carcinoma (HCC) risk prediction models established in patients with chronic hepatitis B (CHB) receiving nucleoside analogue (NA) rarely included viral factors because of mediocre predictability of traditional viral markers. Here, we investigate the role of serum hepatitis B virus (HBV) RNA, a novel biomarker, in predicting HCC risk in NA-treated patients. MethodsA total of 1374 NA-treated patients were enrolled from two prospective CHB cohorts. Serum HBV RNA was detected at baseline, year 1, 2 and 3 of treatment. Cox proportional-hazard model was used to investigate the association of HBV RNA kinetics with HCC risk. ResultsAfter a median follow-up of 5.4 years, 76 patients developed HCC. HBV RNA declines at year 1 (adjusted hazard ratio (aHR) = 0.70, P = .009) and 2 (aHR = 0.71, P = .016) were independently associated with HCC risk. Patients with less HBV RNA decline at year 1 (=< 0.4 log10 copies/mL) or 2 (=<0.6 log10 copies/mL) had 2.22- and 2.09-folds higher HCC risk, respectively, than those with more declines. When incorporating these early on-treatment HBV RNA declines into existing HCC risk scores, including PAGE B, mPAGE B and aMAP score, they could enhance their predictive performance [i.e. C-index, 0.814 vs. 0.788 (Model (PAGE B + year-1 HBV RNA decline)vs. PAGE B score based on baseline parameters)]. ConclusionsSerum HBV RNA declines at year 1 and 2 were significantly associated with on-treatment HCC risk. Incorporating early on-treatment HBV RNA declines into HCC risk prediction models can be useful tools to guide appropriate surveillance strategies in NA-treated patients.

Residual inflammatory risk predicts long-term outcomes following stenting for symptomatic intracranial atherosclerotic stenosis

Background and purposeResidual inflammatory risk (RIR) can predict the unfavourable outcomes in patients with minor ischaemic stroke. However, the impact of preprocedural RIR on long-term outcomes in patients with symptomatic...

A machine learning model to predict liver-related outcomes after the functional cure of chronic hepatitis B

The risk of hepatocellular carcinoma (HCC) and hepatic decompensation persists after hepatitis B surface antigen (HBsAg) seroclearance. This study aimed to develop and validate a machine learning model to predict the risk of liver-related outcomes (LROs) following HBsAg seroclearance. A total of 4,787 consecutive patients who achieved HBsAg seroclearance between 2000 and 2022 were enrolled from six centers in South Korea and a territory-wide database in Hong Kong, comprising the training (n= 944), internal validation (n= 1,102), and external validation (n= 2,741) cohorts. Three machine learning-based models were developed and compared in each cohort. The primary outcome was the development of any LRO, including HCC, decompensation, and liver-related death. During a median follow-up of 55.2 (IQR 30.1-92.3) months, 123 LROs were confirmed (1.1%/person-year) in the Korean cohort. The model with the best predictive performance in the training cohort was selected as the final model (designated as PLAN-B-CURE), which was constructed using a gradient boosting algorithm and seven variables (age, sex, diabetes, alcohol consumption, cirrhosis, albumin, and platelet count). Compared to previous HCC prediction models, PLAN-B-CURE showed significantly superior accuracy in the training cohort (c-index: 0.82 vs. 0.63-0.70, all p <0.001; area under the receiver-operating characteristic curve: 0.86 vs. 0.62-0.72, all p <0.01; area under the precision-recall curve: 0.53 vs. 0.13-0.29, all p <0.01). PLAN-B-CURE showed a reliable calibration function (Hosmer-Lemeshow test p >0.05) and these results were reproduced in the internal and external validation cohorts. This novel machine learning model consisting of seven variables provides reliable risk prediction of LROs after HBsAg seroclearance that can be used for personalized surveillance. Using large-scale multinational data, we developed a machine learning model to predict the risk of liver-related outcomes (i.e., hepatocellular carcinoma, decompensation, and liver-related death) after the functional cure of chronic hepatitis B (CHB). The new model named PLAN-B-CURE was constructed using seven variables (age, sex, alcohol consumption, diabetes, cirrhosis, serum albumin, and platelet count) and a gradient boosting machine algorithm, and it demonstrated significantly better predictive accuracy than previous models in both the training and validation cohorts. The inclusion of diabetes and significant alcohol intake as model inputs suggests the importance of metabolic risk factor management after the functional cure of CHB. Using seven readily available clinical factors, PLAN-B-CURE, the first machine learning-based model for risk prediction after the functional cure of CHB, may serve as a basis for individualized risk stratification.

Exposures to non-therapeutic chemicals before, during and after pregnancy: data from the Swiss Teratogen Information Service (STIS).

Limited knowledge exists regarding exposures to non-therapeutic chemicals by women planning to conceive, or during pregnancy or breastfeeding. The Swiss Teratogen Information Service (STIS) provides information to healthcare professionals about medications and other exposures during pregnancy or breastfeeding. This study aimed to describe the queries on non-therapeutic chemicals addressed to the STIS over the past two decades. Using data from the STIS for the years 2000 to 2019, we conducted a descriptive analysis of all queries related to women's exposures to non-therapeutic chemicals during pregnancy planning, pregnancy or breastfeeding. Over two decades, the STIS database recorded 320 exposures to chemicals. Workplace settings accounted for over 60% of queries, followed by exposures at home (20%). In almost half (48%) of the queries, more than one chemical was mentioned, totalling 885 chemicals across these 320 queries. Commonly mentioned chemicals included isopropanol, acetone and lead. Solvents were the leading category of products (16%), followed by cleaning products (10%), paints (8%) and insecticides (5%). The follow-up data showed five diverse cases of congenital malformations, accounting for 4.0% (5 out of 125) of the sample, a figure in line with the background risk of malformations in the general population. This study emphasises the importance of conducting research that comprehensively captures the highly heterogeneous exposures to non-therapeutic chemicals during pregnancy and suggests that attention should be given not only to professional settings, but also to domestic contexts.

Executive educational background, corporate governance and corporate default risk

This paper investigates the association between executive educational background and corporate default risk, and analyzes the mechanism of corporate governance as a regulating factor. The research in this paper shows that: (1) executive educational background negatively affects corporate default risk. (2) Corporate governance plays a moderating role in the influence of executive educational background on corporate default risk. (3) The higher the level of corporate governance, the greater the impact of executive educational background on default risk.

Short term clinical outcomes of Complex Percutaneous Coronary Intervention in patients with intermediate to high SYNTAX score: Ain Shams complex PCI Registry

Abstract Background Risk stratification is an important and essential component in proper patient counseling when dealing with complex coronary anatomy and decision making between either coronary artery bypass graft (CABG) or percutaneous coronary intervention (PCI). The SYNTAX score was pioneered as an anatomical-based risk score that aided in this decision-making process. Objective To develop an electronic registry for patients with complex coronary anatomy with intermediate to high SYNTAX score undergoing non-emergent PCI who were indicated for CABG but either they were rejected by the surgeons or they refused it. Patients and Methods Our registry was conducted on 193 patients presented during eight months from the first of July 2021 till the end of February 2022 to Ain Shams University Hospitals and underwent PCI. Results comparing the intermediate to high SYNTAX score groups, there is a statistically significant increase in the in hospital and short term MACE and mortality with high SYNTAX score patients, while there was no difference regarding in hospital CIN. Regarding MACE it significantly increases in patients with anemia, CKD, LV dysfunction. For multivariate analysis it is shown that both incomplete revascularization and clinical SYNTAX II are independent predictors for the occurrence of short term MACE. Conclusion Both incomplete revascularization and clinical SYNTAX II score are independent predictors of short term (6 months) occurrence of MACE.

Development and Validation of a Noninvasive Model for the Detection of High-Risk Varices in Patients with Unresectable HCC

Background and AimsNon-invasive variceal risk stratification systems have not been validated in patients with hepatocellular carcinoma (HCC), which presents logistical barriers for patients in the setting of systemic HCC therapy. We aimed to develop and validate a non-invasive algorithm for the prediction of varices in patients with unresectable HCC. MethodsWe performed a retrospective cohort study in 21 centers in the US including adult patients with unresectable HCC and Child Pugh A5-B7 cirrhosis diagnosed between 2007 and2019. We included patients who completed an esophagogastroduodonoscopy (EGD) within 12 months of index imaging but prior to HCC treatment. We divided the cohort into a 70:30 training set and validation set, with the goal of maximizing negative predictive value (NPV) to avoid EGD in low-risk patients. ResultsWe included 707 patients (median age 64.6 years, 80.6% male and 74.0% White). Median time from HCC diagnosis to EGD was 47 (IQR: 114) days, with 25.0% of patients having high-risk varices. A model using clinical variables alone achieved a NPV of 86.3% in the validation cohort, while a model integrating clinical and imaging variables had an NPV 97.4% in validation. The clinical and imaging model would avoid EGDs in over half of low-risk patients while misclassifying 7.7% of high-risk patients. ConclusionA model incorporating clinical and imaging data can accurately predict the absence of high-risk varices in patients with HCC and avoid EGD in many low-risk patients prior to the initiation of systemic therapy, thus expediting their care and avoiding treatment delays.

Use of acoustic signals in Cape fur seal mother-pup reunions: individual signature, signal propagation and pup home range.

The Cape fur seal (Arctocephalus pusillus pusillus) is one of the most colonial mammals, with colonies of up to hundreds of thousands of individuals during the breeding season. During the lactation period, mothers and pups are regularly separated as females undertake multi-day foraging trips at sea. Mothers and pups use a mutual vocal recognition system to reunite after separation. Such communication is highly constrained by both high background noise and risk of individual confusion owing to the density of seals. This study aimed to experimentally assess the acoustic features relevant for mother-pup vocal identification and the propagation properties of their calls. Playback experiments revealed that mother and pup individual vocal signatures rely on both temporal and frequency parameters: amplitude and frequency modulations, timbre and fundamental frequency (f0). This is more parameters than in any colonial species studied so far. The combinational use of acoustic features reinforces the concept that both environmental and social constraints may have acted as selective pressures on the individual vocal recognition systems. Theoretical propagation distances of mother and pup vocalisations were estimated to be below the range of distances at which mother-pup reunions can occur. This suggests that Cape fur seals may have strong abilities to extract vocal signals from the background noise, as previously demonstrated in the highly colonial king penguin. Investigating the transmission of information throughout the propagation of the signal as well as the ability of the receiving individual to decipher vocal signatures is crucial to understanding vocal recognition systems in the wild.

Risk and protective factors for cognitive decline in Brazilian lower educated older adults: A 15-year follow-up study using group-based trajectory modelling

BackgroundPatterns of cognitive change and modifiable factors for cognitive decline versus stable cognitive trajectories have rarely been described in lower-educated older adults. ObjectivesWe aimed to identify long-term trajectories of cognitive functioning and possible factors associated with cognitive decline. Design and participantsWe used data from 1,042 adults aged ≥ 60 participating in the Health, Welfare and Aging Study (SABE), São Paulo, Brazil, without cognitive impairment at baseline. Data were collected across four waves (2000–2015). Group-based trajectory modelling was used to identify cognitive trajectories. Associations with socioeconomic variables, childhood background, lifestyle, and cardiovascular risk factors were explored using weighted multinomial logistic regressions. MeasurementsThe abbreviated Mini-Mental State Examination was used to measure cognition. ResultsThree cognitive trajectories were identified: stable (n= 754, 68.6%), mild-decline (n= 183, 20.8%), and strong-decline (n= 105, 10.7%). At baseline, respondents in the strong-decline group were more likely to be older than those with stable and mild-decline trajectories. Furthermore, participants in both the mild and strong-decline groups were more likely to have no schooling, be divorced/separated, receive less than 4 monthly wages, and be underweight (BMI < 18.5) compared to the stable group. Finally, the mild-decline group was more likely to have lived in rural areas during childhood than participants located in a stable trajectory. ConclusionsOur findings suggest that interventions to reduce cognitive decline for low-educated older adults might include strategies addressing inequalities and improving modifiable risk factor burden.

Continuous Risk Score Predicts Waitlist and Post-transplant Outcomes in Hepatocellular Carcinoma Despite Exception Changes

Background and AimsContinuous risk stratification of candidates and urgency-based prioritization have been utilized for liver transplantation (LT) in non-hepatocellular carcinoma (HCC) patients in the United States. Instead, for HCC patients, a dichotomous criterion with exception points is still used. This study evaluated the utility of the hazard associated with LT for HCC (HALT-HCC), an oncological continuous risk score, to stratify waitlist dropout and post-LT outcomes. MethodsA competing risk model was developed and validated using the UNOS database (2012-2021) through multiple policy changes. The primary outcome was to assess the discrimination ability of waitlist dropouts and LT outcomes. The study focused on the HALT-HCC score, compared to other HCC risk scores. ResultsAmong 23,858 candidates, 14,646 (59.9%) underwent LT and 5,196 (21.8%) dropped out of the waitlist. Higher HALT-HCC scores correlated with increased dropout incidence and lower predicted five-year overall survival after LT. HALT-HCC demonstrated the highest AUC values for predicting dropout at various intervals post-listing (0.68 at six months, 0.66 at one year), with excellent calibration (R2=0.95 at six months, 0.88 at one year). Its accuracy remained stable across policy periods and locoregional therapy applications. ConclusionsThis study highlights the predictive capability of the continuous oncological risk score to forecast waitlist dropout and post-LT outcomes in HCC patients, independent of policy changes. The study advocates integrating continuous scoring systems like HALT-HCC in liver allocation decisions, balancing urgency, organ utility, and survival benefit.

Management of menopause in women with a history of endometriosis.

Due to increasing life expectancy, women spend a significant part of their lives in menopause. Women with a history of endometriosis are more likely to become menopausal at an early age due to bilateral oophorectomy or repeated ovarian surgery. In addition, some medical therapies used for endometriosis, such as gonadotropin releasing hormone agonists or progestins reduce bone mineral density. Furthermore, women with endometriosis have a higher background risk of cardiovascular disorders and hypercholesterolemia. Hence, it is important to recommend the use of hormone replacement therapy (HRT) to these women when they become menopausal, at least until the age of natural menopause. Although based on limited data, there is a possibility of reactivation of symptoms of endometriosis or its lesions, and a theoretical possibility of malignant transformation, although this remains unproven. Therefore, women should be advised in the light of this information before starting HRT after the age of natural menopause and are asked to seek help if they experience symptoms that may indicate these changes. Estrogen only HRT should be avoided and combined HRT preparations should be recommended, even after a hysterectomy.

Prospective risk of Type 2 diabetes in 99892 Nordic women with polycystic ovary syndrome and 446055 controls: national cohort study from Denmark, Finland, and Sweden.

What is the prospective risk of Type 2 diabetes (T2D) in Nordic women with polycystic ovary syndrome (PCOS) compared to controls? A diagnosis of PCOS and BMI ≥30 kg/m2 is a high-risk phenotype for a prospective risk of T2D diagnosis across Nordic countries. The risk of T2D in women with PCOS is increased. The risk of T2D is related to BMI and the magnitude of risk in normal weight women with PCOS has been discussed. However, prospective data regarding risk of T2D in population-based cohorts of women with PCOS are limited. This national register-based study included women with PCOS and age-matched controls. The main study outcome was T2D diagnosis occurring after PCOS diagnosis. T2D was defined according to ICD-10 diagnosis codes and/or filled medicine prescriptions of anti-diabetic medication excluding metformin. The study cohort included women originating from Denmark (PCOS Denmark, N = 27016; controls, N = 133994), Finland (PCOS Finland, N = 20467; controls, N = 58051), and Sweden (PCOS Sweden, N = 52409; controls, N = 254010). The median age at cohort entry was 28 years in PCOS Denmark, Finland, and Sweden with a median follow-up time (interquartile range) in women with PCOS of 8.5 (4.0-14.8), 9.8 (5.1-15.1), and 6.0 (2.0-10.0) years, respectively. Cox regression analyses were adjusted for BMI and length of education. The crude hazard ratio (HR, 95% CI) for T2D diagnosis in women with PCOS was 4.28 (3.98-4.60) in Denmark, 3.40 (3.11-3.74) in Finland, and 5.68 (5.20-6.21) in Sweden. In adjusted regression analyses, BMI ≥30 vs <25 kg/m2 was associated with a 7.6- to 11.3-fold risk of T2D. In a combined meta-analysis (PCOS, N = 99892; controls, N = 446055), the crude HR for T2D in PCOS was 4.64 (3.40-5.87) and, after adjustment for BMI and education level, the HR was 2.92 (2.32-3.51). Inclusion of more severe cases of PCOS in the present study design could have lead to an overestimation of risk estimates in our exposed population. However, some women in the control group would have undiagnosed PCOS, which would lead to an underestimation of T2D risk in women with PCOS. BMI data were not available for all participants. The present study should be repeated in study cohorts with higher background risks of T2D, particularly in populations of other ethnicities. The prospective risk for diagnosis of T2D is increased in women with PCOS, and the risk is aggravated in women with BMI ≥30 kg/m2. Funding in Denmark was from the Region of Southern Denmark, Overlægerådet, Odense University Hospital. Funding in Finland was from Novo Nordisk Foundation, Finnish Research Council and Sigrid Juselius Foundation, the National Regional Fund, Sakari Alhopuro Foundation and Finnish Diabetes Research Foundation. E.E. has received a research grant from Ferring Pharmaceuticals (payment to institution) and serves as medical advisor for Tilly AB, not related to this manuscript. The remaining authors declare no conflict of interest. N/A.

Self-controlled risk interval study of rotavirus vaccine safety: Findings and implications.

The self-controlled case series (SCCS) is often used to monitor vaccine safety. The evaluation of intussusception after the rotavirus vaccine is complicated because the baseline rate varies with age. Time-varying baseline risk adjustments with data from unexposed cohorts are utilised. Self-controlled risk interval (SCRI), with a shorter observation period, can also mitigate the problem by studying a control period close to the risk period. An Indian rotavirus vaccine has previously been studied using SCCS. The risk of intussusception in the high-risk windows (21 days after vaccination) was comparable to the background risk. The aim was to re-analyse data of an existing SCCS study using alternate statistical methods to examine vaccine safety. We examined the mean age of intussusception in the vaccinated and the unvaccinated. We performed an SCRI analysis of the surveillance data from the SCCS study, limiting the observation period to 180 days. We analysed the time-to-intussusception from the last vaccination. Finally, we performed an SCCS analysis, excluding unvaccinated cases from the analysis. We found that the mean age of intussusception was significantly lower in the vaccinated (205 days) compared to the unvaccinated (223 days) (p-value 0.0026). The Incident Risk Ratio (IRR) on SCRI analysis was 1.62 (95% CI 1.07-2.44). There were significantly more intussusceptions in the first 30 days after vaccination compared to the next 30-day window. (92 vs 63 p-value = 0.009). We found that excluding unvaccinated infants from the SCCS analysis demonstrated significantly increased risk for the risk period 1-21 days after the 3rd dose (IRR 2.47, 95% CI 1.70-3.59). The risks of intussusception were missed in traditional SCCS analysis using unvaccinated infants as controls. Traditional risk adjustments using data from unexposed cohorts in SCCS may not be appropriate for investigating the risk of intussusception where vaccination lowers the mean age of intussusception.

Background Risk and Small-Stakes Risk Aversion

Background Risk and Small-Stakes Risk Aversion

#2775 ERCOS multicenter Spanish study: clinical profile of patients with chronic kidney disease G3a-G5D and osteoporosis

Abstract Background and Aims Fracture risk evaluation has recently been integrated into the 2017 KDIGO CKD-MBD (Chronic Kidney Disease- Mineral and Bone Disorder) guideline and its 2021 Spanish endorsement. It is now suggested to test bone mineral density (BMD) to assess fracture risk “if results will impact treatment decisions”. In fact, multiple new prospective studies have now documented that lower BMD predicts incident fractures in patients with CKD G3a–G5D. However, we scarcely know current real clinical practice in this population. Thus, the aim of the ERCOS (“Enfermedad Renal Crónica OSteoporosis”) study was to describe the clinical profile of patients with CKD who had been diagnosed of osteoporosis in outpatient Nephrology and Rheumatology clinics in Spain. Method ERCOS is a descriptive, observational, and multicenter Spanish study. Patients were recruited by consecutive sampling from 15 different Spanish hospitals. Osteoporosis characteristics (history of fragility fracture, BMD and other fracture risk factors), associated comorbidities, biochemical parameters and treatment were analyzed. Results A total of 163 patients (median age 77 years old) were included. Most were women (71.2%) and 98.3% of them were postmenopausal. Hypertension was the most frequent comorbidity (87.1%) and “attributed” cause of CKD (43.2%). Diabetes mellitus and cardiovascular disease were present in 35.6% and 29.4% of patients, respectively. Median estimated glomerular filtration rate was 36 ml/min/1.73 m2 [creatinine 1.48 mg/dl (95% CI 1,2-2)]. 38% of patients were G5D CKD patients (95.2% undergoing hemodialysis). 37.7% of patients had had a fragility fracture after the diagnosis of CKD (vertebral 52.5%, hip 24.6%, wrist 21.3%, humerus 16.4%, among others). Importantly, despite the diagnosis of osteoporosis, only 60.1% of the patients received specific treatment (mainly bisphosphonates or denosumab). Moreover, antiosteoporotic treatment was much more frequently prescribed by rheumatologists (46.9%), internal medicine physicians (23.5%), and only 13.3% was prescribed by nephrologists. 19.4% of patients suffered from fragility fractures even after initiating specific treatment. Conclusion Most patients with moderate and severe CKD with osteoporosis were old postmenopausal women with a high prevalence of diabetes or cardiovascular disease. Although about 40% had even suffered a fragility fracture, there is a high treatment gap, especially relevant among nephrologists. A call to action and to avoid existing therapeutic nihilism seems necessary, expanding the knowledge of the new more proactive guidelines and homogenizing the care and therapeutic approach in these patients.

#2961 Association of polygenic risk scores for blood pressure with incidence of hypertension and chronic kidney disease

Abstract Background and Aims Genetic risk for elevated blood pressure (BP) has been associated with a higher risk of hypertension and cardiovascular disease. However, the generalizability of previous findings has been limited due to a lack of studies among Asian populations. This study aimed to investigate whether genetic risk for BP predicts the incidence of hypertension and chronic kidney disease (CKD) in Asian populations. Method We performed genome-wide association studies for systolic and diastolic BP (SBP and DBP, respectively) using data from the Korean Genome and Epidemiology Study (KoGES). We then meta-analyzed these results with summary statistics from Biobank Japan to construct polygenic risk scores (PRSs) and examined the association between BP PRSs and incident hypertension or CKD. This study included participants without hypertension, cardiovascular disease, or CKD at baseline (n=4349, median age 48.5 years, 48.8% men). Participants were categorized into four groups based on their PRS percentile (&amp;lt;5, 5–50, 50–95, &amp;gt;95). Results As the PRS percentile increases, the median SBP and DBP at baseline also increase. Compared to the lowest SBP PRS percentile, higher PRS percentile was associated with increased risk of hypertension (hazard ratio [HR] 1.49, 95% confidence interval [CI] 1.22–1.83 for PRS percentile 5–50, HR 1.94, 95% CI 1.58–2.38 for PRS percentile 50–95, and HR 2.35, 95% CI 1.80–3.07 for PRS percentile &amp;gt;95). Elevated DBP PRS was also associated with higher risk of hypertension (HR 1.27, 95% CI 1.04–1.54 for PRS percentile 5–50, HR 1.72, 95% CI 1.41–2.09 for PRS percentile 50-95, and HR 2.09, 95% CI 1.60–2.72 for PRS percentile &amp;gt;95). The highest PRS percentile for SBP and DBP was associated with earlier onsets of hypertension by median 11 and 9 years, respectively, compared to the lowest PRS percentile for SBP and DBP. However, both SBP and DBP RPSs were not associated with incident CKD. Conclusion Genetic risk for elevated BP was associated with a higher risk of incident hypertension and earlier onset of hypertension in the Asian population. However, there was no association between PRS for elevated BP and the incidence of CKD.

Intervention Bundle for Optimization of Procedural Sedation for Newborns Undergoing Magnetic Resonance Imaging: A Single-Center Quality Improvement Project in Qatar

Introduction: Magnetic resonance imaging (MRI) is a common procedure in tertiary care neonatal intensive care units (NICUs). MRIs aid in detailing structural anatomy and are increasingly utilized for prognostication. Keeping babies calm and motion-free in the MRI suite is challenging, and various approaches have been adopted to obtain the best image quality. We share our experience of intervention bundle for procedural sedation with the novel use of buccal midazolam in our NICU for babies undergoing MRI. Methods: This single-center quality improvement project comprised two epochs. Epoch 1 from April 2018 to December 2020 provided baseline data regarding sedation use and helped identify causes for suboptimal images and the adverse event rate. Following the implementation of an interventional bundle comprising specific midazolam dose recommendations tailored to background risk factors and streamlining the procedural sedation process, similar comparative data were collected in epoch 2 (May 2021 to December 2022) after a washout period. Results: Of 424 patients, 238 and 108 had MRI done under either procedural sedation protocol or feed and wrap technique in epoch 1 and 2, respectively. After excluding babies whose MRIs were performed under sedative infusions, 30 (13%) babies had adverse events in epoch 1, while only 8 (7%) events occurred in epoch 2. There was also a 37% improvement in the documentation of procedural sedation between the two epochs. Conclusion: Procedural sedation with buccal midazolam under neonatologist supervision is safe, efficient, and effective in babies undergoing MRI in this single-center study. More extensive studies may be warranted to assess the suitability of this sedation modality for broader use.

Estimation of annual effective radiation dose and cancer risk due to tea consumption

The current study aims to assess the radioactive health risks and their levels due to tea consumption. Fresh tea leaves were plucked from different locations in the Gumero tea farmland in Ilubabour zone, Ethiopia. High-resolution gamma-ray spectroscopy was used to measure the activity concentrations of artificial and natural radionuclides (e.g., 40K, 232Th, and 238U) in the samples. Radiological indicators such as committed dose rate (DR) and excess lifetime cancer risk, LCR (i.e., the cancer death risk due to lifetime exposure to carcinogens, ignoring the contribution of natural background risk) were evaluated to ascertain the radioactive risk to humans in the tea samples. DR and LCR, two radiological markers, were assessed to determine the radioactive risk to humans in the tea samples. The finding shows that the radiological hazards assessment of 238U and 232Th revealed that the Gumero tea leaves have natural radioactivity levels within the internationally recommended limit, while that of 40K was higher than the limit. Comparing the current study with other studies, it was found that the yearly effective doses and nuclide radioactivity concentrations in tea leaves were similar.

Breast cancer risk assessment for prescription of menopausal hormone therapy in women with a family history of breast cancer: an epidemiological modelling study.

Menopausal hormone therapy (MHT) can alleviate menopausal symptoms but has been associated with an increased risk of breast cancer. MHT prescription should be preceded by individualised risk/benefit evaluation; however, data outlining the impact of family history alongside different MHT therapeutic approaches are lacking. To quantify the risks associated with MHT use in women with varying breast cancer family histories of developing and dying from breast cancer. An epidemiological modelling study for women in England using the BOADICEA breast cancer prediction model and data relating to MHT use and breast cancer risk taken from research by the Collaborative Group on Hormonal Factors in Breast Cancer. The risk of developing and dying from breast cancer between the ages of 50 and 80 years was modelled in women with four different breast cancer family history profiles: 'average', 'modest', 'intermediate', and 'strong' by using 1) background risks of breast cancer by age and family history, 2) relative risks for breast cancer associated with MHT use, and 3) 10-year breast cancer-specific net mortality rates. This study modelled use of combined oestrogen-progestogen MHT (cyclical or continuous) and oestrogen-only MHT. For a woman of 'average' family history taking no MHT, the cumulative breast cancer risk (age 50-80 years) is 9.8%, and the risk of dying from the breast cancer is 1.7%. In this model, 5 years' exposure to combined-cyclical MHT (age 50-55 years) was calculated to increase these risks to 11.0% and 1.8%, respectively. For a woman with a 'strong' family history taking no MHT, the cumulative breast cancer risk is 19.6% (age 50-80 years), and the risk of dying from the breast cancer is 3.2%. With 5 years' exposure to MHT (age 50-55 years), this model showed that these risks increase to 22.4% and 3.5%, respectively. In this model, both family history and MHT are associated with increased risk of breast cancer. Estimates of the risks of breast cancer associated with MHT for women with different family histories can be used to support decision making around MHT prescription for women experiencing menopausal symptoms.