OBJECTIVE: To determine whether a family history of unexplained heart failure (HF) in first-degree relatives (children or sibling) increases the rate of unexplained HF.
RESULTS: Using Danish nationwide registry data (1978-2017), we identified patients (probands) diagnosed with first unexplained HF (HF without any known comorbidities) in Denmark, and their first-degree relatives. All first-degree relatives were followed from the HF date of the proband and until an event of unexplained HF, exclusion diagnosis, death, emigration, or study end, whichever occurred first. Using the general population as a reference, we calculated adjusted standardized incidence ratios (SIR) of unexplained HF in the three groups of relatives using Poisson regression models. We identified 55,110 first-degree relatives to individuals previously diagnosed with unexplained HF. Having a family history was associated with a significantly increased unexplained HF rate of 2.59 (95%CI 2.29-2.93). The estimate was higher among siblings (SIR 6.67 [95%CI 4.69-9.48]). Noteworthy, the rate of HF increased for all first-degree relatives when the proband was diagnosed with HF in a young age (≤50 years, SIR of 7.23 [95%CI 5.40-9.68]) and having >1 proband (SIR of 5.28 [95%CI 2.75-10.14]). The highest estimate of HF was observed if the proband was ≤40 years at diagnosis (13.17 [95%CI 8.90-19.49].
CONCLUSIONS: A family history of unexplained HF was associated with a two-fold increased rate of unexplained HF among first-degree relatives. The relative rate was increased when the proband was diagnosed at a young age. These data suggest that screening families of unexplained HF with onset below 50 years is indicated.

Siblings of people with Crohn\'s disease (CD) share aspects of the disease phenotype (raised faecal calprotectin, altered microbiota), which are markers of risk for their own development of CD. The aim was to determine whether supplementation with prebiotic oligofructose/inulin induces a prebiotic response and impacts the risk phenotype in CD patients and siblings.
Patients with inactive CD (n = 19, CD activity index <150) and 12 of their unaffected siblings (with calprotectin >50 μg/g) ingested oligofructose/inulin (15 g/day) for three weeks. Faecal microbiota (qPCR), intestinal permeability (lactulose-rhamnose test), blood T cells (flow-cytometry) and calprotectin (ELISA) were measured at baseline and follow-up.
Following oligofructose/inulin, calprotectin did not significantly change in patients (baseline mean 537 SD 535 μg/g; follow-up mean 974 SD 1318 μg/g, p = 0.08) or siblings (baseline mean 73 SD 90 μg/g: follow up mean 58 SD 72 μg/g, p = 0.62). Faecal Bifidobacteria and Bifidobacterium longum increased in patients and siblings; Bifidobacterium adolescentis and Roseburia spp. increased only in siblings. Compared with patients, siblings had a greater magnitude change in Bifidobacteria (+14.6% vs +0.4%, p = 0.028), B. adolescentis (+1.1% vs 0.0% p = 0.006) and Roseburia spp. (+1.5% vs -0.1% p = 0.004). Intestinal permeability decreased significantly in patients after oligofructose/inulin to a level that was similar to siblings. Blood T cell abundance reduced in siblings but not patients following oligofructose/inulin.
Oligofructose/inulin supplementation did not significantly impact calprotectin, but the prebiotic effect was more marked in healthy siblings compared with patients with inactive CD and was associated with alterations in other CD risk markers. Future research should focus on dietary intervention, including with prebiotics, in the primary prevention of CD.

OBJECTIVE: The purpose of this study was to determine the role of a reminder short message service (SMS) on the uptake of glaucoma screening by first-degree relatives (FDRs) of patients with primary open-angle glaucoma (POAG) in North-central Nigeria following a telephone invitation for screening.
METHODS: A randomized controlled trial was conducted in the eye clinic of a tertiary hospital in Jos, North-central Nigeria. Two hundred FDRs of patients with POAG were invited through phone for free glaucoma screening and randomly allocated into two groups. The intervention group received a reminder SMS, whereas the control group did not receive a reminder. Those who failed to turn up for screening were contacted through phone to determine the reasons for their nonattendance. Chi-square test and bivariate analysis were used to compare attendance rate between the two groups.
RESULTS: Sending a reminder SMS following a telephone invitation had no effect on the uptake of glaucoma screening. The response rate was lower in the phone call plus reminder SMS group (43.0% vs. 53.0%) though the difference was not statistically significant (P = 0.157). Competing needs such as work and lack of transport fare were the most common reasons given for not attending the screening.
CONCLUSIONS: A reminder text message is not an effective tool for increasing the uptake of glaucoma screening in at-risk individuals in North-central Nigeria. Existing barriers to health care in the country need to be addressed before mobile phone technology can be effectively used in increasing the utilization of any free eye screening service.

The purpose of the study was to determine the relationship between family history of prostate cancer in a first-degree relative (FDR) and prostate cancer incidence and mortality.
Deidentified data sets of men recruited in the Prostate, Lung, Colorectal, and Ovary (PLCO) trial were accessed. Men with complete information about family history of prostate cancer in an FDR were included. The effect of family history on prostate cancer incidence and mortality was assessed in a multivariate Cox regression model. Likewise, the effect of the number of FDRs with prostate cancer and the effect of youngest diagnosis age of an FDR with prostate cancer were assessed.
A total of 74,781 participants were included in the current analysis, including 5281 participants with family history of prostate cancer in an FDR and 69,500 participants without family history of prostate cancer in an FDR. Among participants without family history of prostate cancer in an FDR, a total of 7450 patients (10.5%) were subsequently diagnosed with prostate cancer; whereas among patients with family history of prostate cancer in an FDR, a total of 889 patients (16.5%) were subsequently diagnosed with prostate cancer. In an adjusted multivariate Cox regression model, family history of prostate cancer was associated with a higher probability of prostate cancer diagnosis (hazard ratio [HR], 1.590; 95% confidence interval [CI], 1.482-1.705; P < .001). The number of FDRs with prostate cancer proportionally correlated with higher prostate cancer incidence (HR, 1.529; 95% confidence interval [CI], 1.439-1.624; P < .001). Family history of prostate cancer in an FDR was not predictive of higher prostate cancer mortality in the PLCO screening (intervention) arm (HR, 0.829; 95% CI, 0.422-1.629; P = .587) whereas it was predictive of a higher prostate cancer mortality in the PLCO nonscreening (control) arm (HR, 1.894; 95% CI, 1.154-3.109; P = .012). Number of FDRs with prostate cancer was not associated with higher prostate cancer mortality in the PLCO screening (intervention) arm (HR, 0.956; 95% CI, 0.541-1.691; P = .878), whereas it was associated with higher prostate cancer mortality in the PLCO nonscreening (control) arm (HR, 1.643; 95% CI, 1.083-2.493; P = .020).
Family history of prostate cancer is associated with an increased risk of prostate cancer diagnosis in the overall cohort of patients as well as a higher risk of prostate cancer mortality in the nonscreened subcohort. Further prospective assessment of the role of screening among selected high-risk populations (including those with strong family history) is warranted.

To measure the impact of motivational interviewing (MI) on cancer knowledge and screening practice among first degree relatives (FDRs) of patients with colon cancer.
This randomized controlled trial targeted patients with colon cancer first to recruit their possible FDRs. Digit randomization of the eligible index patients into intervention or control groups resulted in allocating their belonging FDRs to the same study arm. FDRs (n = 120) in intervention arm received MI counseling on phone by a trained oncology nurse and FDRs (n = 120) in control group received standard generic information by a physician on phone. Primary outcome was the rate of documented colonoscopy in FDRs within six months after the baseline.
A total of 227 FDRs were followed up, 115 in the intervention and 112 in the control group. At follow-up, the uptake of screening colonoscopy in the intervention group was 83.5% versus 48.2% in controls (crude odds ratio, 5.4; 95% confidence interval, 2.9-10.0, P < .001).
This was the first randomized controlled trial in Iran that confirmed the efficaciousness of a phone-based MI counseling in improving colonoscopy uptake among family members of patients with colon cancer.
Phone-based motivational counseling that involves trained nurses or health providers seems to be feasible approach in Iran health system and enhances screening for colon cancer.

Body mass index (BMI), waist circumference (WC), visceral adiposity index (VAI), triglyceride glucose index (TyG), TyG-BMI, and TyG-WC have been reported as markers of insulin resistance or type 2 diabetes mellitus (T2DM). However, little is known about the associations between the aforementioned markers and the risk of prediabetes and diabetes in first-degree relatives (FDRs) of T2DM patients.
1544 FDRs of T2DM patients (635 men and 909 women) were enrolled in the initial cross-sectional study and all of them finished corresponding examinations. Logistic regression analysis and receiver operating characteristic (ROC) curve were used to compare and identify the associations of the six parameters (BMI, WC, VAI, TyG, TyG-BMI and TyG-WC) with the prevalence of prediabetes and diabetes. Subsequently, 452 of them were followed-up for an average of 5 years. Cox proportional hazard regression model was applied to confirm the predictive value of the optimal marker.
Among the indices, TyG-WC was more strongly associated with the prevalence of prediabetes and diabetes. Compared with participants in the lowest quartile of TyG-WC, the adjusted odds ratio and 95 % CIs for prediabetes and diabetes was 11.19 (7.62-16.42) for those in the top quartile of TyG-WC. Moreover, the largest AUC was also observed in TyG-WC (0.765, 95 % CIs 0.741-0.789, P < 0.001). The robust predictive value of TyG-WC was further confirmed in the follow-up study (HR: 7.13, 95 % CIs 3.41-14.90, P < 0.001).
TyG-WC is a novel and clinically effective marker for early identifying the risks of prediabetes and diabetes in FDRs of T2DM patients.