The relationship between exposure to Hurricane Harvey and mortality among nursing home residents.

BACKGROUND: Nursing home (NH) residents are vulnerable to mortality after natural disasters. We examined NH residents' excess all-cause mortality associated with Hurricane Harvey, a unique disaster with long-lasting flooding effects. We also explored how mortality differed between short-stay and long-stay residents and by chronic conditions. METHODS: We conducted a retrospective observational study of Texas NH residents, comparing 30- and 90-day mortality among residents exposed to Hurricane Harvey in August 2017 to residents not exposed in the same location and time period during the previous 2 years. Data came from the Minimum Data Set Assessments and the Medicare Beneficiary Summary File. We used linear probability models to examine the association between hurricane exposure and mortality, adjusting for resident demographics, clinical acuity, and NH fixed effects. Models were stratified by short-stay and long-stay status. We also described differences in mortality by residents' chronic conditions. RESULTS: In 2017, 18,479 Texas NH residents were exposed to Hurricane Harvey. Exposure to Hurricane Harvey was not significantly associated with 30-day mortality. However, 7.6% (95% CI: 7.2, 7.9) of long-stay residents died 90 days after exposure to Harvey, compared to 6.3% (95% CI: 6.0, 6.7) during 2015. Apparently, this effect was driven by chronic obstructive pulmonary disease (COPD) as approximately 9.2% of these residents died within 90 days after Harvey landing compared to 7.2% in 2015 (p < 0.01). CONCLUSIONS: Hurricane exposure appears to have significant consequences for mortality among long-stay NH residents, which appear to materialize over the long-term (90 days post-hurricane in our study) and may not be apparent immediately (30 days post-hurricane in our study). NH residents with COPD may be particularly vulnerable to increased mortality risk following hurricane exposure. The results highlight the need to pay special attention to mortality risk in NH residents, particularly those with COPD, following hurricane exposure.

Mortality among Nursing Home Residents Enrolled in Hospice and Hospice Utilization Post-Hurricane Irma.

Background: Nursing home (NH) residents are vulnerable to increased mortality after a natural disaster such as hurricanes but the specific vulnerability of NH residents on hospice and the impact on admission to hospice are unknown. Objectives: Exposure to Hurricane Irma (2017) was used to evaluate increased mortality among Florida NH residents by hospice status compared with the same time period in a nonhurricane year. Difference in hospice utilization rates poststorm for short- and long-stay NH residents was also examined. Setting/Subjects: Subject were all Florida NH residents of age 65 years and older utilizing fee-for-service Medicare claims data exposed to Hurricane Irma in 2017 compared with a control group of residents residing at the same NHs in 2015. Analysis: Mortality rates were calculated by hospice status, rates of hospice enrollment, and the corresponding odds ratios (ORs). Results: Hurricane exposure was associated with an increase in mortality 30 days poststorm (OR = 1.12, 95% confidence interval [CI]: 1.00-1.26) but not 90 days poststorm (OR = 1.02, 95% CI: 0.95-1.10) for residents on hospice. For the rate of hospice enrollment poststorm among residents previously not on hospice, there was an increase in odds of enrollment among long-stay residents in 30 days (OR = 1.15, 95% CI: 1.02-1.23) and 90 days (OR = 1.12, 95% CI: 1.05-1.20) but not short-stay residents within 30 (OR = 1.02, 95% CI: 0.91-1.15) and 90 days (OR = 1.07, 95% CI: 0.99-1.15). Conclusion: Mortality in NH residents on hospice care increased in the aftermath of Hurricane Irma. In addition, NH residents not on hospice were more likely to be referred to hospice in the 30 days after the storm.

Understanding opioid overdose risk and response preparedness among people who use cocaine and other drugs: Mixed-methods findings from a large, multi-city study.

Background: Fatal overdoses involving cocaine (powdered or crack) and fentanyl have increased nationally and in Massachusetts. It is unclear how overdose risk and preparedness to respond to an overdose differs by patterns of cocaine and opioid use. Methods: From 2017 to 2019, we conducted a nine-community mixed-methods study of Massachusetts residents who use drugs. Using survey data from 465 participants with past-month cocaine and/or opioid use, we examined global differences (p < 0.05) in overdose risk and response preparedness by patterns of cocaine and opioid use. Qualitative interviews (n = 172) contextualized survey findings. Results: The majority of the sample (66%) used cocaine and opioids in the past month; 18.9% used opioids alone; 9.2% used cocaine and had no opioid use history; and 6.2% used cocaine and had an opioid use history. Relative to those with a current/past history of opioid use, significantly fewer of those with no opioid use history were aware of fentanyl in the drug supply, carried naloxone, and had received naloxone training. Qualitative interviews documented how people who use cocaine and have no history of opioid use are largely unprepared to recognize and respond to an overdose. Conclusions: Public health efforts are needed to increase fentanyl awareness and overdose prevention preparedness among people primarily using cocaine.

Opioid pain medication misuse, concomitant substance misuse, and the unmet behavioral health treatment needs of transgender and gender diverse adults.

BACKGROUND: Limited research has explored risk factors for opioid pain medication misuse, concomitant substance misuse, and the unmet behavioral health treatment (BHTx) needs of transgender and gender diverse (TGD) adults. METHODS: In 2019, TGD adults (N = 562) in Massachusetts and Rhode Island were purposively recruited and completed a psychosocial and behavioral health survey (95 % online; 5% in-person). Multivariable logistic regression was used to examine factors associated with past 12-month opioid pain medication misuse and unmet BHTx needs. RESULTS: Overall, 24.4 % of participants were trans women; 32.0 % trans men; and 43.6 % were non-binary. Past-year substance misuse included: marijuana (56.8 %), hazardous drinking (37.5 %), hallucinogens (9.8 %), benzodiazepines (8.2 %), and opioid pain medication (8.0 %). Among participants with past-year substance misuse and BHtx need (n = 326), 81.3 % received BHtx and 18.7 % had unmet BHtx needs. Being a trans woman, having HIV, stigma in healthcare, and number of substances misused were associated with increased odds of past-year opioid pain medication misuse; high social connectedness was associated with decreased odds of opioid pain medication misuse (p-values<0.05). Younger age, stigma in healthcare, and misusing opioid pain medications were associated with increased odds of unmet BHTx needs; post-traumatic stress disorder and family support were associated with decreased odds of unmet BHtx needs (p-values<0.05). CONCLUSIONS: Addressing disparities in opioid pain medication misuse among TGD people requires systematic improvements in healthcare access, including efforts to create TGD-inclusive BHtx environments with providers who are equipped to recognize and treat the social and structural drivers of TGD health inequities, including opioid pain medication misuse.

A mixed methods study of perinatal sleep and breastfeeding outcomes in women at risk for postpartum depression.

INTRODUCTION: Pregnant and postpartum women experience significant sleep disruption, but the role of perinatal sleep disturbances in breastfeeding is understudied. METHODS: In this observational cohort study, we used mixed methods to examine associations between perinatal sleep and breastfeeding. Forty-eight women (mean age 28.2 ± 4.9 years) who were euthymic at enrollment but had a history of major depression (n = 43) or bipolar disorder (n = 5) had sleep recorded with wrist actigraphy. We determined feeding status through daily diaries and used semi-structured interviews to identify themes regarding participants' experiences, breastfeeding decisions, and behaviors. To examine whether sleep disturbance during pregnancy predicted breastfeeding (BF) rates, we defined "lower sleep efficiency" (LSE) and "higher sleep efficiency" (HSE) groups based on the median split of actigraphic SE at 33 weeks' gestation (cutoff SE = 84.9%) and classified mothers as No-BF, Mixed-BF (BF + formula), and Exclusive-BF at 2 weeks postpartum. RESULTS: Percentages of women who did any breastfeeding were: Week 2 = 72.3%, Week 6 = 62.5%, Week 16 = 50%. LSE mothers were less likely than HSE mothers to initiate breastfeeding (percent No-BF: LSE = 45.8%, HSE = 16.7%, P < .05). Average actigraphic sleep onset, sleep offset, time in bed, sleep duration, and SE did not differ based on breastfeeding status at any time point. Qualitative themes included insufficient preparation for the demands of breastfeeding, interrupted and nonrestorative sleep, and unrelenting daytime tiredness. CONCLUSIONS: In our sample, preserved actigraphic SE during pregnancy was associated with initiation and continuation of breastfeeding. Future work should examine whether improving sleep in pregnancy improves mothers' feeding experiences.

Association of Power Outage With Mortality and Hospitalizations Among Florida Nursing Home Residents After Hurricane Irma.

Importance: Exposure to hurricanes is associated with increased mortality and morbidity in nursing home (NH) residents, but the factors contributing to these outcomes are less understood. One hypothesized pathway could be power outages from hurricanes that expose NH residents to excess ambient heat. Objective: To determine the association of power loss from Hurricane Irma with hospitalization and mortality in NH residents in Florida. Design Setting and Participants: This retrospective cohort study of NH residents residing in Florida when Hurricane Irma landed on September 10, 2017, assessed mortality at 7 and 30 days after the storm and hospitalization at 30 days after the storm. The analysis was conducted from May 2, 2021, to June 28, 2021. All NH residents residing in Florida at landfall were eligible (N = 67 273). We excluded those younger than 65 years, missing power status information, or who were evacuated (13 178 [19.6%]). Exposure: We used state-administered surveys to determine NH power outage status. Exposed residents experienced a power outage poststorm, whereas unexposed residents did not experience a power outage poststorm. Main Outcomes and Measures: We used Medicare claims to assess mortality and hospitalization after Hurricane Irma landfall using generalized linear models with robust standard errors. Results: In the aftermath of Hurricane Irma, 27 892 residents (18 510 women [66.4%]; 3906 [14.0%] Black, 1651 [5.9%] Hispanic, and 21 756 [78.0%] White individuals) in 299 NHs were exposed to power loss and 26 203 residents (17 620 women [67.2%]; 4175 [15.9%] Black, 1030 [3.9%] Hispanic, and 20 477 [78.1%] White individuals) in 292 NHs were unexposed. Nursing homes that lost power were similar in size, quality star rating, and type of ownership compared with NHs that did not lose power. Power loss was associated with an increased adjusted odds of mortality among all residents within 7 days (odds ratio [OR],1.25; 95% CI,1.05-1.48) and 30 days (OR, 1.12; 95% CI,1.02-1.23) poststorm and hospitalization within 30 days, although only among residents aged 65 to 74 years (OR, 1.16; 95% CI, 1.03-1.33). Conclusions and Relevance: In this cohort study, power loss was associated with higher odds of mortality in all affected NH residents and hospitalization in some residents. The benefits and costs of policies that require NHs to have emergency alternate power sources should be assessed.

Negative Transgender-Related Media Messages Are Associated with Adverse Mental Health Outcomes in a Multistate Study of Transgender Adults.

Purpose: The purpose of this study was to examine the extent to which transgender people have observed negative transgender-related messages in the media and the relationship between negative media message exposure and the mental health of transgender people. Methods: In 2019, 545 transgender adults completed an online survey assessing demographics, negative transgender-related media messages, violence, and mental health. Separate multivariable logistic regression models examined the association of frequency of negative media exposure and clinically significant symptoms of depression, anxiety, post-traumatic stress disorder (PTSD), and global psychological distress. Results: Mean age of the sample was 31.2 years (standard deviation [SD] = 11.2). Nearly half identified as nonbinary (42.2%), 82.0% were White, non-Hispanic, 56.9% had a college degree, and 67.0% were financially insecure. The majority reported experiencing childhood abuse (60.6%) and abuse in adulthood (58.0%). The mean frequency of exposure to negative transgender-related media was 6.41 (SD = 2.9) with 97.6% of the sample reporting exposure to negative media depictions of transgender people across a range of mediums. In separate multivariable models adjusted for age, gender identity, race, education, income, and childhood/adult abuse, more frequent exposure to negative depictions of transgender people in the media was significantly associated with clinically significant symptoms of depression (adjusted odds ratio [aOR] = 1.18; 95% confidence interval [CI] = 1.08-1.29; p = 0.0003); anxiety (aOR = 1.26; 95% CI = 1.14-1.40; p < 0.0001); PTSD (aOR = 1.25; 95% CI = 1.16-1.34; p < 0.0001); and global psychological distress (aOR = 1.28; 95% CI = 1.15-1.42; p < 0.0001). Conclusion: Exposure to negative media messages from multiple sources necessitates multilevel interventions to improve the mental health of transgender people and curb stigma at its source.

Copper Tolerance and Characterization of a Copper-Responsive Operon, copYAZ, in an M1T1 Clinical Strain of Streptococcus pyogenes.

UNLABELLED: Infection with Streptococcus pyogenes is associated with a breadth of clinical manifestations ranging from mild pharyngitis to severe necrotizing fasciitis. Elevated levels of intracellular copper are highly toxic to this bacterium, and thus, the microbe must tightly regulate the level of this metal ion by one or more mechanisms, which have, to date, not been clearly defined. In this study, we have identified two virulence mechanisms by which S. pyogenes protects itself against copper toxicity. We defined a set of putative genes, copY (for a regulator), copA (for a P1-type ATPase), and copZ (for a copper chaperone), whose expression is regulated by copper. Our results indicate that these genes are highly conserved among a range of clinical S. pyogenes isolates. The copY, copA, and copZ genes are induced by copper and are transcribed as a single unit. Heterologous expression assays revealed that S. pyogenes CopA can confer copper tolerance in a copper-sensitive Escherichia coli mutant by preventing the accumulation of toxic levels of copper, a finding that is consistent with a role for CopA in copper export. Evaluation of the effect of copper stress on S. pyogenes in a planktonic or biofilm state revealed that biofilms may aid in protection during initial exposure to copper. However, copper stress appears to prevent the shift from the planktonic to the biofilm state. Therefore, our results indicate that S. pyogenes may use several virulence mechanisms, including altered gene expression and a transition to and from planktonic and biofilm states, to promote survival during copper stress. IMPORTANCE: Bacterial pathogens encounter multiple stressors at the host-pathogen interface. This study evaluates a virulence mechanism(s) utilized by S. pyogenes to combat copper at sites of infection. A better understanding of pathogen tolerance to stressors such as copper is necessary to determine how host-pathogen interactions impact bacterial survival during infections. These insights may lead to the identification of novel therapeutic targets that can be used to address antibiotic resistance.