Racial and Ethnic Disparities in Mpox Cases and Vaccination Among Adult Males - United States, May-December 2022.

As of December 31, 2022, a total of 29,939 monkeypox (mpox) cases* had been reported in the United States, 93.3% of which occurred in adult males. During May 10-December 31, 2022, 723,112 persons in the United States received the first dose in a 2-dose mpox (JYNNEOS)† vaccination series; 89.7% of these doses were administered to males (1). The current mpox outbreak has disproportionately affected gay, bisexual, and other men who have sex with men (MSM) and racial and ethnic minority groups (1,2). To examine racial and ethnic disparities in mpox incidence and vaccination rates, rate ratios (RRs) for incidence and vaccination rates and vaccination-to-case ratios were calculated, and trends in these measures were assessed among males aged ≥18 years (males) (3). Incidence in males in all racial and ethnic minority groups except non-Hispanic Asian (Asian) males was higher than that among non-Hispanic White (White) males. At the peak of the outbreak in August 2022, incidences among non-Hispanic Black or African American (Black) and Hispanic or Latino (Hispanic) males were higher than incidence among White males (RR = 6.9 and 4.1, respectively). Overall, vaccination rates were higher among males in racial and ethnic minority groups than among White males. However, the vaccination-to-case ratio was lower among Black (8.8) and Hispanic (16.2) males than among White males (42.5) during the full analytic period, indicating that vaccination rates among Black and Hispanic males were not proportionate to the elevated incidence rates (i.e., these groups had a higher unmet vaccination need). Efforts to increase vaccination among Black and Hispanic males might have resulted in the observed relative increased rates of vaccination; however, these increases were only partially successful in reducing overall incidence disparities. Continued implementation of equity-based vaccination strategies is needed to further increase vaccination rates and reduce the incidence of mpox among all racial and ethnic groups. Recent modeling data (4) showing that, based on current vaccination coverage levels, many U.S. jurisdictions are vulnerable to resurgent mpox outbreaks, underscore the need for continued vaccination efforts, particularly among racial and ethnic minority groups.

Epidemiologic Features of the Monkeypox Outbreak and the Public Health Response - United States, May 17-October 6, 2022.

On May 17, 2022, the Massachusetts Department of Health announced the first suspected case of monkeypox associated with the global outbreak in a U.S. resident. On May 23, 2022, CDC launched an emergency response (1,2). CDC's emergency response focused on surveillance, laboratory testing, medical countermeasures, and education. Medical countermeasures included rollout of a national JYNNEOS vaccination strategy, Food and Drug Administration (FDA) issuance of an emergency use authorization to allow for intradermal administration of JYNNEOS, and use of tecovirimat for patients with, or at risk for, severe monkeypox. During May 17-October 6, 2022, a total of 26,384 probable and confirmed* U.S. monkeypox cases were reported to CDC. Daily case counts peaked during mid-to-late August. Among 25,001 of 25,569 (98%) cases in adults with information on gender identity,† 23,683 (95%) occurred in cisgender men. Among 13,997 cisgender men with information on recent sexual or close intimate contact,§ 10,440 (75%) reported male-to-male sexual contact (MMSC) ≤21 days preceding symptom onset. Among 21,211 (80%) cases in persons with information on race and ethnicity,¶ 6,879 (32%), 6,628 (31%), and 6,330 (30%) occurred in non-Hispanic Black or African American (Black), Hispanic or Latino (Hispanic), and non-Hispanic White (White) persons, respectively. Among 5,017 (20%) cases in adults with information on HIV infection status, 2,876 (57%) had HIV infection. Prevention efforts, including vaccination, should be prioritized among persons at highest risk within groups most affected by the monkeypox outbreak, including gay, bisexual, and other men who have sex with men (MSM); transgender, nonbinary, and gender-diverse persons; racial and ethnic minority groups; and persons who are immunocompromised, including persons with advanced HIV infection or newly diagnosed HIV infection.

Streamwise-travelling viscous waves in channel flows.

The unsteady viscous flow induced by streamwise-travelling waves of spanwise wall velocity in an incompressible laminar channel flow is investigated. Wall waves belonging to this category have found important practical applications, such as microfluidic flow manipulation via electro-osmosis and surface acoustic forcing and reduction of wall friction in turbulent wall-bounded flows. An analytical solution composed of the classical streamwise Poiseuille flow and a spanwise velocity profile described by the parabolic cylinder function is found. The solution depends on the bulk Reynolds number R, the scaled streamwise wavelength  λ , and the scaled wave phase speed U. Numerical solutions are discussed for various combinations of these parameters. The flow is studied by the boundary-layer theory, thereby revealing the dominant physical balances and quantifying the thickness of the near-wall spanwise flow. The Wentzel-Kramers-Brillouin-Jeffreys (WKBJ) theory is also employed to obtain an analytical solution, which is valid across the whole channel. For positive wave speeds which are smaller than or equal to the maximum streamwise velocity, a turning-point behaviour emerges through the WKBJ analysis. Between the wall and the turning point, the wall-normal viscous effects are balanced solely by the convection driven by the wall forcing, while between the turning point and the centreline, the Poiseuille convection balances the wall-normal diffusion. At the turning point, the Poiseuille convection and the convection from the wall forcing cancel each other out, which leads to a constant viscous stress and to the break down of the WKBJ solution. This flow regime is analysed through a WKBJ composite expansion and the Langer method. The Langer solution is simpler and more accurate than the WKBJ composite solution, while the latter quantifies the thickness of the turning-point region. We also discuss how these waves can be generated via surface acoustic forcing and electro-osmosis and propose their use as microfluidic flow mixing devices. For the electro-osmosis case, the Helmholtz-Smoluchowski velocity at the edge of the Debye-Hückel layer, which drives the bulk electrically neutral flow, is obtained by matched asymptotic expansion.

Double Contact During Drop Impact on a Solid Under Reduced Air Pressure.

Drops impacting on solid surfaces entrap small bubbles under their centers, owing to the lubrication pressure which builds up in the thin intervening air layer. We use ultrahigh-speed interference imaging, at 5 Mfps, to investigate how this air layer changes when the ambient air pressure is reduced below atmospheric. Both the radius and the thickness of the air disc become smaller with reduced air pressure. Furthermore, we find the radial extent of the air disc bifurcates, when the compressibility parameter exceeds ∼25. This bifurcation is also imprinted onto some of the impacts, as a double contact. In addition to the central air disc inside the first ring contact, this is immediately followed by a second ring contact, which entraps an outer toroidal strip of air, which contracts into a ring of bubbles. We find this occurs in a regime where Navier slip, due to rarefied gas effects, enhances the rate gas can escape from the path of the droplet.

The New Zealand Major Trauma Registry: the foundation for a data-driven approach in a contemporary trauma system.

AIM: To describe the development of the New Zealand Major Trauma Registry (NZ-MTR) and the initial experiences of its use. METHOD: The background to the development of the NZ-MTR was reviewed and the processes undertaken to implement a single-instance of a web-based national registry described. A national minimum dataset was defined and utilised. Key structures to support the Registry such as a data governance group were established. RESULTS: The NZ-MTR was successfully implemented and is the foundation for a new, data-driven model of quality improvement. In its first year of operation over 1,300 patients were entered into the Registry although coverage is not yet universal. Overall incidence is 40.8 major trauma cases/100,000 population. The incidence in the Maori population was 69/100,000 compared with 31/100,000 in the non-Maori population. Case fatality rate was 9%. Three age peaks were observed at 20-24 years, 50-59 years and above 85 years. Road traffic crashes accounted for 50% of all caseload. A significant proportion of major trauma patients (21%) were transferred to one or more hospitals before reaching a definitive care facility. CONCLUSION: Despite the challenges working across multiple jurisdictions, initiation of a single-instance web-based registry has been achieved. The NZ-MTR enables New Zealand to have a national view of trauma treatment and outcomes for the first time. It will inform quality improvement and injury prevention initiatives and potentially decrease the burden of injury on all New Zealanders.

Identification and assessment of potentially high-mortality intensive care units using the ANZICS Centre for Outcome and Resource Evaluation clinical registry.

PURPOSE: A hospital's highest-risk patients are managed in the intensive care unit. Outcomes are determined by patients' severity of illness, existing comorbidities and by processes of care delivered. The Australian and New Zealand Intensive Care Society (ANZICS) Centre for Outcome and Resource Evaluation (CORE) manages a binational clinical registry to benchmark performance, and report and assess ICUs which appear to have worse outcomes than others. METHODS: A descriptive retrospective cohort study was undertaken to detail processes, outcomes, limitations and practical lessons learnt from monitoring ICU performance throughout Australia and New Zealand. All ICUs contributing to the ANZICS Adult Patient Database between 2009 and 2014 were included. A potential outlier ICU was defined as one with a statistically significantly higher standardised mortality ratio (SMR) than its peer group. RESULTS: There were 757 188 admissions to 168 ICUs. Of these, 27 ICUs (16%) were identified as potential outlier ICUs at least once. Data quality problems led to inaccurate or artificially elevated SMRs at 16/27 ICUs. Variation in diagnostic casemix partly or completely explained the elevated SMR at 15/27 ICUs. At nine ICUs where data quality and casemix differences did not explain the elevated SMR, process-of-care problems were identified. CONCLUSIONS: A combination of routine monitoring techniques, statistical analysis and contextual interpretation of findings is required to ensure potential outlier ICUs are appropriately identified. This ensures engagement and understanding from clinicians and jurisdictional health departments, while contributing to the improvement of ICU practices throughout Australia and New Zealand.

Mortality related to after-hours discharge from intensive care in Australia and New Zealand, 2005-2012.

INTRODUCTION: After-hours discharge from the intensive care unit (ICU) is associated with adverse patient outcomes including increased ICU readmissions and mortality. Since Australian and New Zealand data were last published, overall ICU patient mortality has decreased; however it is unknown whether changes in discharge practices have contributed to these improved outcomes. Our aim was to examine trends over time in discharge timing and the contemporary associations with mortality and ICU readmission. METHODS: Retrospective cohort study using data from the Australian and New Zealand Intensive Care Society Adult Patient Database (ANZICS APD) for patients admitted to Australian and New Zealand ICUs between January 2005 and December 2012. Data collected included patient characteristics, time of ICU discharge, hospital mortality and ICU readmissions. RESULTS: Between 1 January 2005 and 31 December 2012, there were 710,535 patients available for analysis, of whom 109,384 (15.4 %) were discharged after-hours (1800-0600 hours). There were no changes in timing of ICU discharge over the 8 years of the study. Patients discharged after-hours had a higher hospital mortality (6.4 versus 3.6 %; P < 0.001) and more ICU readmissions (5.1 versus 4.5 %; P < 0.001) than patients discharged in-hours. Although post-ICU mortality for all patients declined during the study period, the risk associated with after-hours discharge remained elevated throughout (odds ratio 1.34, 95 % confidence intervals 1.30-1.38). CONCLUSIONS: After-hours discharge remains an important independent predictor of hospital mortality and readmission to ICU. Despite widespread dissemination this evidence has not translated into fewer after-hours discharges or reduction in risk in Australian and New Zealand hospitals.

Syndromic surveillance in an ICD-10 world.

The Centers for Disease Control and Prevention's BioSense program is an integrated national public health surveillance system that uses electronic medical record (EMR) data to provide situational awareness for all-hazard health-related events. Because the system leverages International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) coded data from EMRs for syndromic surveillance, the upcoming Health and Human Services-mandated transition from ICD-9-CM to ICD-10-CM will have a significant impact. To translate across the two encoding systems, we developed a Mapping Reference Table (MRT) for the ICD-9/10 transition. We extracted ICD-9-CM codes binned to predefined syndromes and mapped each to its corresponding ICD-10-CM code(s). Then, we translated the output ICD-10-CM codes back to ICD-9-CM through a reverse translation validation process. Throughout the translation process, we examined outputs manually and incorporated annotated results into the MRT. The resulting MRT can be used to refine and update each existing syndromic surveillance definition in BioSense to be compatible with ICD-10-CM and consistently classify or bin any given emergency department visit into the correct syndrome regardless of coding system.

Impact of pandemic (H1N1) 2009 on Australasian critical care units.

OBJECTIVE: To identify the resource usage by patients with influenza A H1N1 admitted to Australian and New Zealand intensive care units during the first wave of the pandemic in June, July and August 2009. DESIGN, SETTING AND PARTICIPANTS: Data were collected in two separate surveys: the 2007-08 resource and activity survey and the 2009 influenza pandemic survey. Participants comprised 143 of the 189 Australian and New Zealand critical care units identified by the Australian and New Zealand Intensive Care Society Centre for Outcome and Resource Evaluation (ANZICS CORE). Mean length of stay (LOS) and ventilation data for H1N1 patients were reported by the ANZIC Influenza Investigators study from the same units over the same time period. Mean LOS for all ICU admissions was obtained from the ANZICS CORE adult patient database 10-year study. MAIN OUTCOME MEASURES: H1N1 patient admissions as a proportion of all ICU admissions; H1N1 patient bed-days as a proportion of total bed-days; ventilation resource usage by H1N1 patients; changes in ICU admissions for elective surgery during the H1N1 pandemic. RESULTS: Over the period June-August 2009, among 30 222 ICU admissions to 133 ICUs contributing data, 704 patients (2.3%) had H1N1 influenza A. Twenty-eight units had no H1N1 patient admissions. The peak of the pandemic in Australia and New Zealand occurred in July 2009, when H1N1 patients represented 3.7% of all ICU admissions for July and 53.5% of all H1N1 patient admissions in the period June-August 2009. We estimate that H1N1 cases required approximately 12.4% of the ventilator resources and used 8.1% of total patient bed-days. During the pandemic, there was a 3.2 percentage-point reduction in elective admissions to public hospitals (from 32.5% to 29.3%). CONCLUSION: Low rates of admission of H1N1 patients to ICUs during the 2009 pandemic enabled the intensive care system to cope with the large demand when analysed at a jurisdictional level.

Automated monitoring of clusters of falls associated with severe winter weather using the BioSense system.

OBJECTIVES: To identify and characterise clusters of emergency department (ED) visits for fall injuries during the 2007-2008 winter season. METHODS: Hospital ED chief complaints and diagnoses from hospitals reporting to the Centers for Disease Control and Prevention BioSense system were analysed. The authors performed descriptive analyses, used time series charts on data aggregated by metropolitan statistical areas (MSAs), and used SaTScan to find spatial-temporal clusters of visits from falls. RESULTS: In 2007-2008, 17 clusters of falls in 13 MSAs were found; the median number of excess ED visits for falls was 71 per day. SaTScan identified 11 clusters of falls, of which seven corresponded to MSA clusters found by time series and five included more than one state/district. Most clusters coincided with known periods of snowfall or freezing rain. CONCLUSION: The results show the role that a national automated system can play in tracking widespread injuries. Such a system could be harnessed to assist with prevention strategies.

Cause of death in intensive care patients within 2 years of discharge from hospital.

OBJECTIVE: To identify intensive care patients dying within 2 years of discharge from hospital and assess whether the cause of death was related to the diagnosis at hospital discharge. DESIGN, SETTING AND PARTICIPANTS: A retrospective cohort study of all patients admitted to the intensive care unit at Wellington Hospital, New Zealand, between 1 July 2001 and 30 June 2003, using data from the ICU database. Mortality data were obtained from the New Zealand National Death Registry. MAIN OUTCOME MEASURES: Death within 2 years of hospital discharge; cause of death and its relation to the hospital discharge diagnosis. RESULTS: Of 1984 patients discharged home, 193 died within 2 years. One-year and 2-year survival rates were 93.8% and 90.3%, respectively. Two-year mortality rates were 4.6% in elective cardiac surgical patients, 19.7% in elective noncardiac surgical patients, 16.9% in acute patients admitted from the operating room, and 10.2% in other acute patients. Among the 193 patients who died after discharge, 124 deaths (64.2%) were related to the diagnosis at hospital discharge. The mortality rate in this group was highest at 3 months (90.5%) and lower at 6 months (75.0%), then averaged 51.4% after 6 months. Cause of death was related to discharge diagnosis in 46.2% of elective cardiac surgical patients, 66.6% of elective non-cardiac surgical patients, 60.5% of acute patients admitted from the operating room, and 75.4% of other acute patients. Cancer was the cause of death in 34.2% of elective cardiac surgical patients, 66.7% of elective non-cardiac surgical patients, 48.8% of acute patients admitted from the operating room, and 29.0% of other acute patients. CONCLUSION: Survival rates of ICU patients after discharge from hospital are high. Deaths are closely related to the discharge diagnosis only in the first 6 months after discharge. Cancer is a common cause of death. Elective non-cardiac surgical patients have the worst outcomes.

Designing and implementing an Australian and New Zealand intensive care data audit study.

PURPOSE: The aim of this pilot audit study is to develop and test a model to examine existing adult patient database (APD) data quality. DESIGN/METHODOLOGY/APPROACH: A database was created to audit 50 records per site to determine accuracy. The audited records were randomly selected from the calendar year 2004 and four sites participated in the pilot audit study. A total of 41 data elements were assessed for data quality--those elements required for APACHE II scoring system. FINDINGS: Results showed that the audit was feasible; missing audit data were an unplanned problem; analysis was complicated owing to the way the APACHE calculations are performed and 50 records per site was too time-consuming. ORIGINALITY/VALUE: This is the first audit study of intensive care data within the ANZICS APD and demonstrates how to determine data quality in a large database containing individual patient records.

Intensive care in an unusual setting: management of pneumonia in a chimpanzee.

We report a case in which intensive care doctors and nurses became involved in the care of a young chimpanzee who required ventilation for pneumonia at Wellington Zoo, New Zealand. This required staff to work outside the usual protected environment of a hospital intensive care unit. The chimpanzee, Bahati, was ventilated for 3 days, replicating intensive care practice, but died. Logistical challenges included equipment procurement, environment, electrical safety, gas supply and infection control. Other difficulties included differences in physiology, nursing care and therapeutics. End-of-life processes were similar, with zoo staff responding as if they were immediate family. Euthanasia was an unfamiliar process to ICU staff. Bahati's death received national media attention and some criticism of the involvement of intensive care staff. The zoo staff were overwhelmed and grateful that everything possible was done for Bahati.

Integrating genomic laboratory data into tuberculosis surveillance: improving tracking of tuberculosis strains and cluster identification to enhance outbreak management.

Since the 1990s, healthcare professionals have used genotyping to identify specific Tuberculosis clusters and strains. Although, these data have potential to enhance outbreak investigations, they are rarely integrated into TB surveillance systems. Using a systematic approach genomic laboratory data can be integrated with traditional TB surveillance systems to improve TB control. This poster describes a pilot project; including systems architecture, messaging and data repository design, which integrates genomic and epidemiological characteristics of culture positive cases.