Population rates of HIV, gonorrhoea and syphilis diagnoses by sexual orientation in New Zealand.

INTRODUCTION: Globally, gay and bisexual men (GBM) are over-represented in HIV, syphilis and gonorrhoea cases. However, surveillance systems rarely provide meaningful measures of inequity, such as population-specific rates, due to a lack of sexual orientation denominators. HIV, gonorrhoea and syphilis are legally notifiable diseases in New Zealand (NZ); we calculate rates by sexual orientation for the first time. METHODS: We analysed 2019 national surveillance data on HIV, syphilis and gonorrhoea notifications disaggregated by sexual orientation. Unique health records identified duplicate notifications and reinfections. Missing data were imputed from known cases. We used the NZ Health Survey 2014/2015 to estimate population sizes by sexual orientation, measured in two ways (current sexual identity, sexual contact in the previous 12 months with men, women or both). We calculated notification rates per 100 000 for each sexual orientation subgroup and rate ratios. RESULTS: In 2019, GBM accounted for 76.3%, 65.7% and 39.4% of HIV, syphilis and gonorrhoea notifications, respectively. Population rates per 100 000 for HIV were 158.3 (gay/bisexual men) and 0.5 (heterosexuals); for syphilis, population rates per 100 000 were 1231.1 (gay/bisexual men), 5.0 (lesbian/bisexual women) and 7.6 (heterosexuals); for gonorrhoea (imputed), population rates per 100 000 were 6843.2 (gay/bisexual men), 225.1 (lesbian/bisexual women) and 120.9 (heterosexuals). The rate ratios for GBM compared with heterosexuals were: 348.3 (HIV); 162.7 (syphilis); and 56.6 (gonorrhoea). Inequities remained in sensitivity analysis (substituting sexual identity with sexual behaviour in the previous 12 months). CONCLUSION: GBM in NZ experience profound inequities in HIV, syphilis and gonorrhoea. Rate ratios by sexual orientation provide useful 'at-a-glance' measures of inequity in disease incidence.

Corrigendum to: Enumerating the population eligible for funded HIV pre-exposure prophylaxis (PrEP) in New Zealand.

Background:Pre-exposure prophylaxis (PrEP) became publicly funded in New Zealand (NZ) on 1 March 2018. PrEP could have a substantial population-level effect on HIV transmission if scaled up rapidly. An accurate estimate of the size of the PrEP-eligible population would guide implementation. Methods: We drew on nine sources to estimate the PrEP-eligible population, namely Statistics NZ data, Pharmaceutical Management Agency (PHARMAC) data on adults receiving funded antiretroviral treatment (ART), expert advice, estimates of the HIV care cascade, surveillance of undiagnosed HIV in a community sample of gay and bisexual men (GBM), surveillance of HIV diagnoses, NZ Health Survey data on sexual orientation among males, behavioural surveillance among GBM and behavioural data among people living with HIV (PLWH) from the HIV Futures NZ study. From these sources we derived three estimates relating to GBM, non-GBM and total eligible population. Sensitivity analyses examined different assumptions (GBM denominators, proportion PLWH diagnosed, proportion of diagnosed PLWH treated). Results: We estimated that 17.9% of sexually active HIV-negative GBM would be eligible for PrEP, equating to 5816 individuals. We estimated that 31 non-GBM individuals would be eligible for PrEP. Thus, in total, 5847 individuals would be eligible for PrEP, comprising 99.5% GBM and 0.5% non-GBM. Sensitivity analyses ranged from 3062 to 6718 individuals. Conclusions: Policy makers can use enumeration to monitor the speed and scale in coverage as implementation of publicly funded PrEP proceeds. Sexual health and primary care services can use enumeration to forecast PrEP demand and plan accordingly. Better quality data, especially on transgender adults in NZ, would improve the accuracy of estimates.

Enumerating the population eligible for funded HIV pre-exposure prophylaxis (PrEP) in New Zealand.

Background Pre-exposure prophylaxis (PrEP) became publicly funded in New Zealand (NZ) on 1 March 2018. PrEP could have a substantial population-level effect on HIV transmission if scaled up rapidly. An accurate estimate of the size of the PrEP-eligible population would guide implementation. METHODS: We drew on nine sources to estimate the PrEP-eligible population, namely Statistics NZ data, Pharmaceutical Management Agency (PHARMAC) data on adults receiving funded antiretroviral treatment (ART), expert advice, estimates of the HIV care cascade, surveillance of undiagnosed HIV in a community sample of gay and bisexual men (GBM), surveillance of HIV diagnoses, NZ Health Survey data on sexual orientation among males, behavioural surveillance among GBM and behavioural data among people living with HIV (PLWH) from the HIV Futures NZ study. From these sources we derived three estimates relating to GBM, non-GBM and total eligible population. Sensitivity analyses examined different assumptions (GBM denominators, proportion PLWH diagnosed, proportion of diagnosed PLWH treated). RESULTS: We estimated that 17.9% of sexually active HIV-negative GBM would be eligible for PrEP, equating to 5816 individuals. We estimated that 31 non-GBM individuals would be eligible for PrEP. Thus, in total, 5847 individuals would be eligible for PrEP, comprising 99.5% GBM and 0.5% non-GBM. Sensitivity analyses ranged from 3062 to 6718 individuals. CONCLUSIONS: Policy makers can use enumeration to monitor the speed and scale in coverage as implementation of publicly funded PrEP proceeds. Sexual health and primary care services can use enumeration to forecast PrEP demand and plan accordingly. Better quality data, especially on transgender adults in NZ, would improve the accuracy of estimates.

Disease characteristics and treatment of patients with diabetes mellitus attending government health services in Indonesia, Peru, Romania and South Africa.

OBJECTIVE: To describe the characteristics and management of Diabetes mellitus (DM) patients from low- and middle-income countries (LMIC). METHODS: We systematically characterised consecutive DM patients attending public health services in urban settings in Indonesia, Peru, Romania and South Africa, collecting data on DM treatment history, complications, drug treatment, obesity, HbA1c and cardiovascular risk profile; and assessing treatment gaps against relevant national guidelines. RESULTS: Patients (median 59 years, 62.9% female) mostly had type 2 diabetes (96%), half for >5 years (48.6%). Obesity (45.5%) and central obesity (females 84.8%; males 62.7%) were common. The median HbA1c was 8.7% (72 mmol/mol), ranging from 7.7% (61 mmol/mol; Peru) to 10.4% (90 mmol/mol; South Africa). Antidiabetes treatment included metformin (62.6%), insulin (37.8%), and other oral glucose-lowering drugs (34.8%). Disease complications included eyesight problems (50.4%), EGFR <60 ml/min (18.9%), heart disease (16.5%) and proteinuria (14.7%). Many had an elevated cardiovascular risk with elevated blood pressure (36%), LDL (71.0%) and smoking (13%), but few were taking antihypertensive drugs (47.1%), statins (28.5%) and aspirin (30.0%) when indicated. Few patients on insulin (8.0%), statins (8.4%) and antihypertensives (39.5%) reached treatment targets according to national guidelines. There were large differences between countries in terms of disease profile and medication use. CONCLUSION: DM patients in government clinics in four LMIC with considerable growth of DM have insufficient glycaemic control, frequent macrovascular and other complications, and insufficient preventive measures for cardiovascular disease. These findings underline the need to identify treatment barriers and secure optimal DM care in such settings.

Late presentation of HIV infection among adults in New Zealand from 2011 to 2020.

OBJECTIVES: Early diagnosis of HIV is essential for successful treatment and controlling HIV spread in a population. We examined the frequency and characteristics of adults diagnosed late with HIV in New Zealand from 2011-2020. METHODS: Routine surveillance data were analysed. Those previously diagnosed overseas or as part of immigration screening, or with missing CD4 count were excluded. 'Late presentation' was defined as a CD4 count <350 cells/µL or an AIDS-defining event. 'Advanced HIV disease' were those with a CD4 count <200 cells/µL or an AIDS-defining event. Relative risks were calculated using Poisson regression. RESULTS: Of 1145 people, 40.5% presented late; 24.9% had advanced HIV disease. Of the 464 late diagnoses, 65.5% occurred among men-who-have-sex-with-men (MSM), 26.1% among heterosexuals, 8.4% among others. Heterosexual men and women were more likely to present late (55.3%) compared to MSM (35.6%). Amongst MSM, those who were older, of an ethnicity other than European, acquired HIV overseas, tested because symptomatic, or had their last negative test >2 years prior were more likely to present late and have advanced disease. Amongst heterosexuals, older age, tested because symptomatic, and Pacific ethnicity were associated with late presentation, and Maori, Pacific and Asian people were more likely to have advanced disease. CONCLUSIONS: There continues to be a high proportion of people diagnosed late with HIV. Identifying barriers for testing, missed opportunities for screenings and other factors that delay HIV diagnosis could help develop effective strategies to reduce this burden of late presentation - particularly among heterosexual individuals, non-Europeans, and older people.

The effect of a structured clinical algorithm on glycemic control in patients with combined tuberculosis and diabetes in Indonesia: A randomized trial.

AIMS: Diabetes mellitus (DM) is associated with worse tuberculosis (TB) treatment outcomes, especially among those with poor glycemic control. We examined whether a structured clinical algorithm could improve glycemic control in TB patients with DM. METHODS: In an open label randomized trial, TB-DM patients were randomized to scheduled counselling, glucose monitoring, and adjustment of medication using a structured clinical algorithm (intervention arm) or routine DM management (control arm), with glycated hemoglobin (HbA1c) at month 6 as the primary end point. RESULTS: We randomized 150 pulmonary TB-DM patients (92% culture positive, 51.3% male, mean age 53 years). Baseline mean HbA1c was 11.0% in the intervention arm (n = 76) and 11.6% in the control arm (n = 74). At 6 months, HbA1c had decreased more in the intervention arm compared with the control arm (a difference of 1.82% HbA1c, 95% CI 0.82-2.83, p < 0.001). Five patients were hospitalized in the intervention arm and seven in the control arm. There was more hypoglycemia (35.0% vs 11.8%; p = 0.002) in the intervention arm. Two deaths occurred in the intervention arm, one due to cardiorespiratory failure and one because of suspected septic shock and multiorgan failure. CONCLUSION: Regular monitoring and algorithmic adjustment of DM treatment led to improved glycemic control.

Screening diabetes mellitus patients for pulmonary tuberculosis: a multisite study in Indonesia, Peru, Romania and South Africa.

BACKGROUND: Diabetes mellitus (DM) patients are three times more likely to develop tuberculosis (TB) than the general population. Active TB screening in people with DM is part of a bidirectional approach. The aim of this study was to conduct pragmatic active TB screening among DM patients in four countries to inform policy. METHODS: DM patients were recruited in Indonesia (n=809), Peru (n=600), Romania (n=603) and South Africa (n=51). TB cases were diagnosed using an algorithm including clinical symptoms and chest X-ray. Presumptive TB patients were examined with sputum smear and culture. RESULTS: A total of 171 (8.3%) individuals reported ever having had TB (South Africa, 26%; Indonesia, 12%; Peru, 7%; Romania, 4%), 15 of whom were already on TB treatment. Overall, 14 (0.73% [95% confidence interval 0.40 to 1.23]) TB cases were identified from screening. Poor glucose control, smoking, lower body mass index, education and socio-economic status were associated with newly diagnosed/current TB. Thirteen of the 14 TB cases diagnosed from this screening would have been found using a symptom-based approach. CONCLUSIONS: These data support the World Health Organization recommendation for routine symptom-based screening for TB in known DM patients in high TB-burden countries. DM patients with any symptoms consistent with TB should be investigated and diagnostic tools should be easily accessible.

Injecting drug use among gay and bisexual men in New Zealand: Findings from national human immunodeficiency virus epidemiological and behavioural surveillance.

INTRODUCTION AND AIMS: Gay and bisexual men (GBM) who inject drugs are disproportionately affected by human immunodeficiency virus (HIV) because of dual transmission risks. New Zealand has a progressive history of harm reduction and was the first country to publicly fund needle exchange programs in 1988 for people who inject drugs (PWID). We combine national HIV epidemiological and bio-behavioural surveillance data to understand HIV risk among this subpopulation. DESIGN AND METHODS: We examine trends in new HIV diagnoses 1996-2018 by mode of transmission, and compare HIV cases attributed to sex between men (MSM-only), MSM/injecting drug use (IDU) and IDU-only. IDU among GBM in a national HIV behavioural surveillance survey was also examined. We compare GBM by IDU status (never, 'recent', previous) and identified predictors of recent IDU. RESULTS: Of 1653 locally-acquired HIV diagnoses 1996-2018, 77.4% were MSM-only, 1.5% MSM/IDU, 1.4% IDU-only and 14.2% heterosexual mode of transmission. On average, just one HIV diagnosis attributed to MSM/IDU and IDU, respectively, occurred per annum. MSM/IDU cases were more likely than MSM-only cases to be indigenous Maori ethnicity. Of 3163 GBM survey participants, 5.4% reported lifetime IDU and 1.2% were recent IDU. Among GBM, HIV positivity was 20% among recent IDU and 5.3% among never injectors. Predictors of recent IDU were: age under 30; more than 20 male partners; female partner; condomless intercourse; HIV positivity. DISCUSSION AND CONCLUSION: New Zealand has averted high endemic HIV rates seen among GBM and PWID in other countries and results have been sustained over 30 years.

Out-of-Pocket Costs for Patients Diagnosed with Tuberculosis in Different Healthcare Settings in Bandung, Indonesia.

Costs related to tuberculosis (TB) can impose a significant burden on patients and their families and create barriers to diagnosis and treatment. Our study aimed to quantify out-of-pocket costs expended by TB patients in Bandung, Indonesia. This cross-sectional study recruited adults with TB from community health centers (CHCs), public and private hospitals, and private practitioners (PPs). An interview was completed at the time of diagnosis or at their return for 2- or 6-month treatment. Costs were converted to U.S. dollars (US$)-presented as median and interquartile range (IQR). Of 469 TB patients recruited, the mean age was 38 years and 57% were male. The median pretreatment direct cost per person was $37.51 (IQR 20.79-71.24). Hospitalization, diagnostic tests, and travel costs were predominant. Higher pretreatment costs were associated with no health insurance ($41.88 versus $27.41, P < 0.001), ≥ 6 visits to a healthcare provider ($39.91 versus $24.32, P < 0.001), ≥ 60 days pretreatment ($36.35 versus $26.25, P = 0.02), and presenting first to a PP ($40.71) or informal provider ($32.72) compared with private hospital ($21.26), public hospital ($19.63), or CHC ($13.52) (P = 0.01). For a subsample of 106 patients with total pre- and posttreatment costs available, the median total cost was $243.66 (IQR 128.46-550.71). For 26.5% of these patients, total costs were ≥ 20% of their annual household income. Despite having a good network of free TB diagnostic and treatment services throughout Bandung, patients experienced significant out-of-pocket costs. Increased uptake of the National Health Insurance, and systems for early recognition and diagnosis of TB, will contribute toward reducing costs.

High tuberculosis incidence among people living with diabetes in Indonesia.

BACKGROUND: Data regarding the incidence of tuberculosis (TB) among people living with diabetes (PLWD) in TB-endemic settings are scarce. We examined TB incidence among PLWD in Indonesia who had previously been screened for latent TB infection (LTBI) and TB disease. METHODS: PLWD (≥18 y of age) in an urban setting were examined a mean 3.4 y after they had been screened for active TB and LTBI. Data on subsequent TB diagnosis were collected by interview and with chest X-ray, sputum smear and Mycobacterium tuberculosis culture. TB incidence rates were stratified for baseline LTBI status, as determined by the QuantiFERON interferon-gamma release assay (IGRA). RESULTS: Of 590 PLWD, 101 had died and 163 could not be contacted or refused. Among the 326 who were re-examined, 6 (1.8%; 95% confidence interval [CI] 0.7 to 4.0) reported being diagnosed already and a further 5 were diagnosed with active TB (1.5%; 95% CI 0.50 to 3.5). The TB incidence rate was 9.85 (95% CI 4.03 to 15.68) per 1000 person-years. TB incidence was higher among PLWD with baseline LTBI (17.13; 95% CI 5.25 to 29.00/1000 person-years) compared with those without LTBI (4.79; 95% CI -0.63 to 10.21), with an incidence rate ratio of 3.57 (95% CI 0.86 to 20.92; p=0.054). CONCLUSIONS: PLWD with LTBI in Indonesia and similar settings are likely to benefit from TB preventive therapy.

Latent TB infection and pulmonary TB disease among patients with diabetes mellitus in Bandung, Indonesia.

Background: Screening and treatment of latent TB infection (LTBI) and TB disease could reduce diabetes mellitus (DM)-associated TB. We aimed to describe the prevalence of LTBI and pulmonary TB among patients with DM in a TB-endemic setting. Methods: Patients with DM attending a hospital and community centres in Bandung, Indonesia, underwent LTBI screening using interferon gamma release assay (IGRA). TB was investigated by sputum smear, culture and x-ray. TB contacts from a parallel study were age- and sex-matched to patients with DM to compare LTBI and TB disease prevalence. Results: Of 682 patients with DM screened, 651 (95.5%) were eligible. Among 'TB disease-free' patients, LTBI prevalence was 38.9% (206/530; 95% CI 34.7-43.2). Patients with DM were less likely to be IGRA positive than TB contacts (38.6%, 54/140; 95% CI 30.5-46.6 vs 68.6%, 96/140; 95% CI 60.9-72.3: p<0.001); but had a higher disease prevalence (4.9%, 8/164; 95% CI 1.6-8.2 vs 1.2%, 2/164; 95% CI -0.5 to 2.9: p=0.054). Patients with DM in crowded households had increased risk of LTBI (AOR 1.71; 95% CI 1.19-2.45). Conclusions: LTBI prevalence in patients with DM was lower than in household contacts, but patients with DM were more likely to have TB disease. Further studies should explore possible benefits of LTBI screening and preventive therapy in patients with DM in TB-endemic settings.

Increase in HIV diagnoses among men who have sex with men in New Zealand from a stable low period.

OBJECTIVES: To describe trends in HIV diagnoses among men who have sex with men (MSM) in New Zealand 1996-2008, and to identify characteristics associated with HIV diagnoses in the resurgent phase. METHODS: Data collected through routine surveillance of HIV infection, where the mode of transmission included homosexual contact, were analysed over the period 1996-2008. RESULTS: Annual HIV diagnoses were low during 1996-2000, rose sharply between 2001 and 2005, and remained at an elevated plateau between 2006 and 2008. Over a quarter were attributed to HIV infection acquired overseas (28.6%). Trends in diagnoses of locally acquired HIV infection closely mirrored the trend of three diagnosis phases. Increases in locally acquired HIV occurred among virtually all characteristics of MSM. However, compared with MSM diagnosed in the low phase 1996-2000, individuals diagnosed in the resurgent phase 2001-05 were more likely to be aged 30-39, to have tested HIV-negative within the previous 2 years, to live in the Northern region encompassing Auckland, and to be of non-European ethnicity. The per capita HIV diagnosis rate among MSM was lowest in 1997, at 22.0 per million males aged 15-64, and highest in 2005 at 66.7 per million. CONCLUSION: The increase in HIV diagnoses among MSM in New Zealand was primarily due to an increase in locally acquired HIV infection, which disproportionately affected some groups of MSM. Factors driving this change in local epidemic conditions need to be identified. The rate of new HIV diagnoses among MSM remains low by international standards.