Treatment drop-in in a contemporary cohort used to derive cardiovascular risk prediction equations.

BACKGROUND: No routinely recommended cardiovascular disease (CVD) risk prediction equations have adjusted for CVD preventive medications initiated during follow-up (treatment drop-in) in their derivation cohorts. This will lead to underestimation of risk when equations are applied in clinical practice if treatment drop-in is common. We aimed to quantify the treatment drop-in in a large contemporary national cohort to determine whether equations are likely to require adjustment. METHODS: Eight de-identified individual-level national health administrative datasets in Aotearoa New Zealand were linked to establish a cohort of almost all New Zealanders without CVD and aged 30-74 years in 2006. Individuals dispensing blood-pressure-lowering and/or lipid-lowering medications between 1 July 2006 and 31 December 2006 (baseline dispensing), and in each 6-month period during 12 years' follow-up to 31 December 2018 (follow-up dispensing), were identified. Person-years of treatment drop-in were determined. RESULTS: A total of 1 399 348 (80%) out of the 1 746 695 individuals in the cohort were not dispensed CVD medications at baseline. Blood-pressure-lowering and/or lipid-lowering treatment drop-in accounted for 14% of follow-up time in the group untreated at baseline and increased significantly with increasing predicted baseline 5-year CVD risk (12%, 31%, 34% and 37% in <5%, 5-9%, 10-14% and ≥15% risk groups, respectively) and with increasing age (8% in 30-44 year-olds to 30% in 60-74 year-olds). CONCLUSIONS: CVD preventive treatment drop-in accounted for approximately one-third of follow-up time among participants typically eligible for preventive treatment (≥5% 5-year predicted risk). Equations derived from cohorts with long-term follow-up that do not adjust for treatment drop-in effect will underestimate CVD risk in higher risk individuals and lead to undertreatment. Future CVD risk prediction studies need to address this potential flaw

Dietary Acrylamide Intake and the Risk of Lymphatic Malignancies: The Netherlands Cohort Study on Diet and Cancer

BACKGROUND: Acrylamide, a probable human carcinogen, is present in many everyday foods. Since the finding of its presence in foods in 2002, epidemiological studies have found some suggestive associations between dietary acrylamide exposure and the risk of various cancers. The aim of this prospective study is to investigate for the first time the association between dietary acrylamide intake and the risk of several histological subtypes of lymphatic malignancies. METHODS: The Netherlands Cohort Study on diet and cancer includes 120,852 men and women followed-up since September 1986. The number of person years at risk was estimated by using a random sample of participants from the total cohort that was chosen at baseline (n =5,000). Acrylamide intake was estimated from a food frequency questionnaire combined with acrylamide data for Dutch foods. Hazard ratios (HRs) were calculated for acrylamide intake as a continuous variable as well as in categories (quintiles and tertiles), for men and women separately and for never-smokers, using multivariable-adjusted Cox proportional hazards models. RESULTS: After 16.3 years of follow-up, 1,233 microscopically confirmed cases of lymphatic malignancies were available for multivariable-adjusted analysis. For multiple myeloma and follicular lymphoma, HRs for men were 1.14 (95% CI: 1.01, 1.27) and 1.28 (95% CI: 1.03, 1.61) per 10 µg acrylamide/day increment, respectively. For never-smoking men, the HR for multiple myeloma was 1.98 (95% CI: 1.38, 2.85). No associations were observed for women. CONCLUSION: We found indications that acrylamide may increase the risk of multiple myeloma and follicular lymphoma in men. This is the first epidemiological study to investigate the association between dietary acrylamide intake and the risk of lymphatic malignancies, and more research into these observed associations is warranted

Variation in clinical presentation, complications and outcomes for Māori and Pacific peoples among hospitalised adults with COVID-19 in 2022, Aotearoa New Zealand.

BACKGROUND: Pacific region-specific data on the clinical course of COVID-19 are limited. We aimed to describe clinical features and outcomes from Aotearoa New Zealand patients, focusing on Māori and Pacific peoples. METHODS: We conducted a retrospective cohort study among adults (≥16 years) hospitalised due to COVID-19 at 11 hospitals from January to May 2022. We included all Māori and Pacific patients and every second non-Māori, non-Pacific (NMNP) patient using data from chart review and national datasets. RESULTS: Of 2319 patients, 582 (25%) were Māori, 914 (39%) Pacific peoples and 862 NMNP (median age 52, 57 and 63 years respectively). Vaccination coverage (≥2 doses) was 73.4% (n = 437) for Māori, 76.7% (n = 701) for Pacific peoples (n = 701) and 84.8% (n = 731) for NMNP. Among 832 (35.9%) with complications, Māori had a greater risk than NMNP of acute kidney injury (risk ratio (RR) 1.87, P < 0.001), cardiac arrhythmia (RR = 1.60, P = 0.023), shock (RR = 2.64, P = 0.005), myocardial infarction (RR 2.21, P = 0.042), cardiac arrest (RR 2.68, P = 0.046) and acute respiratory distress syndrome (RR = 2.81, P = 0.008). Pacific patients experienced a greater risk than NMNP of acute kidney injury (RR = 2.18, P < 0.001) and pneumonia (RR = 1.32, P = 0.047) and a lower risk of thromboembolism (RR = 0.35, P = 0.004) and myocarditis/pericarditis (RR = 0.23, P = 0.003). During admission, 23 (3.3%) Māori, 36 (3.9%) Pacific and 28 (3.2%) NMNP patients died, with no difference in age-standardised mortality. CONCLUSIONS: The clinical course of patients hospitalised by COVID-19 varied between ethnic groups, likely reflecting differential access to social determinants of health. Healthcare services that respond to this variability are needed to achieve the highest attainable health for all

COVID-19–related hospitalizations among Aotearoa, New Zealand children during the Omicron era of SARS-CoV-2

Objectives: This multicenter cohort study describes Aotearoa New Zealand children hospitalized during the country's first wave of sustained SARS-CoV-2 transmission, Omicron variant. Methods: Children younger than 16 years, hospitalized for >6 hours with COVID-19 across New Zealand from January to May 2022 were included. Admissions for all Māori and Pacific and every second non-Maori non-Pacific children were selected to support equal explanatory power for ethnic grouping. Attribution of hospital admission, demography, clinical presentation, comorbidity, treatment, and outcome data were collected. Results: Of 444 hospitalizations of children positive for COVID-19, 292 (65.5%) from 290 children were considered admissions attributable to COVID-19. Of these admissions, 126 (43.4%) were aged under 1; 118 (40.7%), 99 (34.1%), and 87 (30.0%) were children of Māori, Pacific, and non-Maori non-Pacific ethnicity, respectively. Underlying respiratory disease was the most common comorbidity, present in 22 children (7.6%); 16 children (5.5%) were immunosuppressed. Median length of stay was 1 day (interquartile range 0.0-2.0). Four children received antiviral, 69 (24%) antibacterial, and 24 (8%) supplemental oxygen. Although eight children required intensive care, there were no deaths. Conclusions: Children hospitalized during the first significant wave of SARS-CoV-2 infection in New Zealand presented with a multi-system viral illness and rarely with severe disease