Extending fecal immunochemical tests for hemoglobin (FITs) to primary care patients with high-risk symptoms suggestive of colorectal cancer (CRC) could reduce colonoscopy waiting lists, enabling earlier treatment. Higher FIT thresholds could decrease referrals but increase missed disease compared with lower thresholds. We aimed to systematically review and synthesize test accuracy data across thresholds for use in a cost-effectiveness analysis.

Searches across ten sources were conducted (December 2022). Included were diagnostic accuracy studies of HM-JACKarc, OC-Sensor, FOB Gold, QuikRead go, NS-Prime, and four Immunodiagnostik (IDK) tests in patients presenting to, or referred from, primary care with symptoms suggestive of CRC using any reference standard. Risk of bias was assessed with QUADAS-2. Syntheses of sensitivity and specificity at all reported thresholds were planned for each test to provide summary estimates at all possible thresholds within the observed range. Sensitivity analyses investigating population type and reference standard, and subgroup analyses by patient characteristics (e.g., anemia, age, sex, ethnicity) were conducted.

HM-JACKarc (n=16 studies) sensitivity ranged from 95.9 percent (95 percent credible interval [95% CrI]: 92.7, 97.9) to 46.3 percent (95% CrI: 37.4, 54.9) and specificity from 65.1 percent (95% CrI: 55.6, 74.8) to 97.7 percent (95% CrI: 94.7, 99.2) (thresholds 2 and 400 μg hemoglobin/g feces [μg/g], respectively). OC-Sensor (n=11) sensitivity ranged from 94.2 percent (95% CrI: 91.2, 96.7) to 54.2 percent (95% CrI: 48.4, 60.2) and specificity from 62.7 percent (95% CrI: 47.4, 77.2) to 97.3 percent (95% CrI: 92.9, 99.3) (thresholds 4 and 200 μg/g, respectively). FOB Gold (n=3) sensitivity ranged from 91.4 percent (95% CrI: 71.6, 99.6) to 73.9 percent (95% CrI: 53.8, 91.2) and specificity from 78.1 percent (95% CrI: 70.0, 86.0) to 96.4 percent (95% CrI: 92.6, 98.9) (thresholds 2 and 150 μg/g, respectively). There were limited or no data on the other tests.

Sensitivity and specificity were synthesized for three tests only, since data for the remaining tests were extremely limited or absent. Even at the lowest threshold, none of the tests had perfect sensitivity. Future studies should further investigate comparative accuracy and the impact of patient characteristics, patient recruitment criteria, and the reference standard on estimates of diagnostic test accuracy.

Approximately 42,000 new cases of colorectal cancer (CRC) are diagnosed annually in the United Kingdom with 16,800 deaths. Evidence suggests that quantitative fecal immunochemical tests (FIT) are a good predictor of CRC risk in symptomatic patients presenting to primary care. We aimed to assess the cost-effectiveness of FIT in this setting, considering capacity constraints and waiting times for subsequent colonoscopy.

We compared two diagnostic FIT strategies, at various thresholds, in the model: (i) FIT for all patients and (ii) current practice where only low-risk patients received FIT. Patients with positive FIT scores and high-risk patients in current practice received colonoscopy. Diagnostic accuracy evidence from published literature, standard UK cost sources, and other sources were used to estimate health outcomes and costs. Waiting times before colonoscopy were assumed proportional to the numbers referred, with the impact of delayed colonoscopy taken from published models. Savings per quality-adjusted life years (QALYs) lost and incremental net monetary benefit (INMB) were used. Uncertainty was evaluated.

Model results suggested that, compared to current practice, FIT generated a positive INMB for the majority of thresholds assessed (GBP200 [USD254] to GBP350 [USD445] per patient at a willingness to pay of GBP20,000 [USD25,474] per QALY gained). A reduction in the number of patients sent to colonoscopy led to cost savings. However, these thresholds were associated with slight QALY losses due to a small proportion of false negative results associated with significantly delayed diagnosis, which outweighed the benefits associated with quicker times to colonoscopy for those with positive FIT results. Savings of over GBP100,000 (USD127,374) per QALY lost were generated. Conclusions were robust to the sensitivity analyses undertaken.

With capacity constraints explicitly represented in the economic modeling, offering FIT to all patients presenting to primary care with symptoms suggestive of CRC was cost effective when compared to current practice. However, the optimal threshold could not be robustly determined due to limited diagnostic accuracy data, parameter uncertainty, and limitations in the model structure; additional primary research could reduce uncertainty.

Involving patients in the health technology assessment (HTA) lifecycle is a core principle at the National Institute for Health and Care Excellence (NICE). To achieve this, NICE has adopted a mixed approach to patient and public involvement and engagement (PPIE) spanning the entire appraisal process. To ensure the PPIE approach enables meaningful involvement, NICE engaged with stakeholders to review its effectiveness and identify areas for improvement.

In 2023, an independent consultant reviewed NICE’s PPIE approach and engaged with NICE staff and external stakeholders from patient organizations, individual patient contributors, and engagement leads at national health and social care organizations. The engagement included interviews with NICE staff (n=19) and external stakeholders (n=13), and an online survey that received 83 responses from patient organizations and patient contributors. Using this feedback, NICE’s patient and public involvement program conducted four focus groups to develop a framework of improved methods and processes for PPIE with NICE staff, patient organizations, and patient contributors.

The engagement identified many positives in NICE’s approach to PPIE, including:

• • lay members sitting on each HTA committee as equal members

• • patient organizations providing written evidence to HTA committees

• • patient experts providing written and verbal testimony to HTA committees

• • support provided by NICE.

The engagement also identified areas where PPIE could have a greater impact, including:

• • improved methods for collecting patient evidence and insight

• • strengthening the role of lay members

• • collating and reusing previously collected patient evidence

• • taking a proportionate approach to involving small organizations

• • allocating staff resources to focus on impactful PPIE practices.

NICE has developed a draft framework for an improved approach to increase the impact of PPIE in HTA decision-making. In 2024, NICE will publicly consult with NICE staff and external stakeholders to review the framework, agree the strategic aims, and develop metrics for measuring success. Following this consultation, the findings and NICE’s updated approach to PPIE will be presented.

The National Institute for Health and Care Excellence (NICE) heard from small organizations how resource intensive and difficult it is for them participate in medicines health technology assessments (HTA) since the COVID-19 pandemic. To provide additional support for these organizations or to provide alternative patient input, NICE explored implementing surveys directly with patients to share with patient stakeholder organizations and NICE’s HTA medicines committees.

Patient organizations and colleagues at NICE were included in the background investigation. Informal interviews were conducted with the HTA bodies in Wales and health technology colleagues in NICE about their experience of this method of patient input.

Two approaches were piloted:

(i) Developing the online questionnaire using the Summary of Information for Patients.

(ii) Developing a jointly branded questionnaire collaboratively with the patient organization and implementing a data-sharing agreement to share the raw data.

The survey was distributed by the patient organization, analyzed by NICE, and shared with the patient organization to inform their submission to NICE.

The results of the background investigation showed that the option to include this additional method of input could provide valuable support for patient organizations and has the potential to increase the amount and quality of patient input to an HTA committee.

Both pilots were successful in:

• • Supporting patient organizations’ input into a medicines HTA

• • Reducing the resources required from patient organizations.

• The second pilot added more value due to:

• • Collaboration, relationship, and building trust

• • Joint development of the survey

• • Data sharing and potential to add to patient evidence about a disease and treatments.

Surveys conducted directly with patients can help patient organizations participate in medicines HTAs, but they are only one element of developing more innovative and sustainable patient involvement in the process. HTA bodies need to innovate and work collaboratively with patient stakeholders to produce a menu of options for involvement so that it can be tailored to stakeholders’ resources.

Diagnostic criteria for major depressive disorder allow for heterogeneous symptom profiles but genetic analysis of major depressive symptoms has the potential to identify clinical and etiological subtypes. There are several challenges to integrating symptom data from genetically informative cohorts, such as sample size differences between clinical and community cohorts and various patterns of missing data.

We conducted genome-wide association studies of major depressive symptoms in three cohorts that were enriched for participants with a diagnosis of depression (Psychiatric Genomics Consortium, Australian Genetics of Depression Study, Generation Scotland) and three community cohorts who were not recruited on the basis of diagnosis (Avon Longitudinal Study of Parents and Children, Estonian Biobank, and UK Biobank). We fit a series of confirmatory factor models with factors that accounted for how symptom data was sampled and then compared alternative models with different symptom factors.

The best fitting model had a distinct factor for Appetite/Weight symptoms and an additional measurement factor that accounted for the skip-structure in community cohorts (use of Depression and Anhedonia as gating symptoms).

The results show the importance of assessing the directionality of symptoms (such as hypersomnia versus insomnia) and of accounting for study and measurement design when meta-analyzing genetic association data.

To examine trends in rates of self-harm among emergency department (ED) presenting older adults in Ireland over a 13-year period.

Population-based study using data from the National Self-Harm Registry Ireland.

National hospital EDs.

Older adults aged 60 years and over presenting with self-harm to hospital EDs in Ireland between January 1, 2007 and December 31, 2019.

ED self-harm presentations.

Between 2007 and 2019, there were 6931 presentations of self-harm in older adults. The average annual self-harm rate was 57.8 per 100,000 among older adults aged 60 years and over. Female rates were 1.1 times higher compared to their male counterparts (61.4 vs 53.9 per 100,000). Throughout the study time frame, females aged 60–69 years had the highest rates (88.1 per 100,000), while females aged 80 years and over had the lowest rates (18.7 per 100,000). Intentional drug overdose was the most commonly used method (75.5%), and alcohol was involved in 30.3% of presentations. Between the austerity and recession years (2007–2012), self-harm presentations were 7% higher compared to 2013–2019 (incidence rate ratio (IRR): 1.07 95% CI 1.02–1.13, p = 0.01).

Findings indicate that self-harm in older adults remains a concern with approximately 533 presentations per year in Ireland. While in younger age groups, females report higher rates of self-harm, this gender difference was reversed in the oldest age group (80 years and over), with higher rates of self-harm among males. Austerity/recession years (2007–2012) had significantly higher rates of self-harm compared to subsequent years.

Studying phenotypic and genetic characteristics of age at onset (AAO) and polarity at onset (PAO) in bipolar disorder can provide new insights into disease pathology and facilitate the development of screening tools.

To examine the genetic architecture of AAO and PAO and their association with bipolar disorder disease characteristics.

Genome-wide association studies (GWASs) and polygenic score (PGS) analyses of AAO (n = 12 977) and PAO (n = 6773) were conducted in patients with bipolar disorder from 34 cohorts and a replication sample (n = 2237). The association of onset with disease characteristics was investigated in two of these cohorts.

Earlier AAO was associated with a higher probability of psychotic symptoms, suicidality, lower educational attainment, not living together and fewer episodes. Depressive onset correlated with suicidality and manic onset correlated with delusions and manic episodes. Systematic differences in AAO between cohorts and continents of origin were observed. This was also reflected in single-nucleotide variant-based heritability estimates, with higher heritabilities for stricter onset definitions. Increased PGS for autism spectrum disorder (β = −0.34 years, s.e. = 0.08), major depression (β = −0.34 years, s.e. = 0.08), schizophrenia (β = −0.39 years, s.e. = 0.08), and educational attainment (β = −0.31 years, s.e. = 0.08) were associated with an earlier AAO. The AAO GWAS identified one significant locus, but this finding did not replicate. Neither GWAS nor PGS analyses yielded significant associations with PAO.

AAO and PAO are associated with indicators of bipolar disorder severity. Individuals with an earlier onset show an increased polygenic liability for a broad spectrum of psychiatric traits. Systematic differences in AAO across cohorts, continents and phenotype definitions introduce significant heterogeneity, affecting analyses.

Studies suggest that alcohol consumption and alcohol use disorders have distinct genetic backgrounds.

We examined whether polygenic risk scores (PRS) for consumption and problem subscales of the Alcohol Use Disorders Identification Test (AUDIT-C, AUDIT-P) in the UK Biobank (UKB; N = 121 630) correlate with alcohol outcomes in four independent samples: an ascertained cohort, the Collaborative Study on the Genetics of Alcoholism (COGA; N = 6850), and population-based cohorts: Avon Longitudinal Study of Parents and Children (ALSPAC; N = 5911), Generation Scotland (GS; N = 17 461), and an independent subset of UKB (N = 245 947). Regression models and survival analyses tested whether the PRS were associated with the alcohol-related outcomes.

In COGA, AUDIT-P PRS was associated with alcohol dependence, AUD symptom count, maximum drinks (R2 = 0.47–0.68%, p = 2.0 × 10−8–1.0 × 10−10), and increased likelihood of onset of alcohol dependence (hazard ratio = 1.15, p = 4.7 × 10−8); AUDIT-C PRS was not an independent predictor of any phenotype. In ALSPAC, the AUDIT-C PRS was associated with alcohol dependence (R2 = 0.96%, p = 4.8 × 10−6). In GS, AUDIT-C PRS was a better predictor of weekly alcohol use (R2 = 0.27%, p = 5.5 × 10−11), while AUDIT-P PRS was more associated with problem drinking (R2 = 0.40%, p = 9.0 × 10−7). Lastly, AUDIT-P PRS was associated with ICD-based alcohol-related disorders in the UKB subset (R2 = 0.18%, p < 2.0 × 10−16).

AUDIT-P PRS was associated with a range of alcohol-related phenotypes across population-based and ascertained cohorts, while AUDIT-C PRS showed less utility in the ascertained cohort. We show that AUDIT-P is genetically correlated with both use and misuse and demonstrate the influence of ascertainment schemes on PRS analyses.