Nabeel Qureshi, Drew Hirsch, Deana Rhinehart, Dyane Gatmaitan, Sarah Kremen, Mitzi M Gonzales, Nancy Sicotte, Zaldy S Tan
Background: Dementia affects over 6.5 million people in the United States. The centers for medicare & medicaid services (CMS) introduced the guiding an improving dementia experience (GUIDE) Model to standardize and address gaps in dementia care. Whereas social and educational interventions form a major part of dementia care management, certain patients require medical interventions, such as referrals and medication for behavioral issues. This study aims to describe the dementia care provided by nurse practitioner (NP) dementia care managers within the Cedars-Sinai C.A.R.E.S. Program, a CMS GUIDE Model site.
Methods: This retrospective observational study analyzed 394 people living with dementia enrolled in the Cedars-Sinai C.A.R.E.S. Program from July 2021 to October 2024. Patient demographics, dementia stage, and provided medical interventions were extracted from electronic health records. Logistic regression models assessed predictors of dementia care use.
Results: Among 394 enrolled patients, 51% received a specialty referral, 30% were initiated on medication, and 4% underwent laboratory testing. NPs commonly prescribed dementia-specific medications (21.6%) and antidepressants (12.4%) and referred patients to neurology (36.6%), psychiatry (14.5%), and occupational therapy (4.8%). Whereas no significant disparities in care delivery were observed, Black or African Americans with mild dementia (CDR ≤ 1) had higher odds of receiving any medical intervention (aOR = 2.69, 95% CI: 1.07-7.78, p = 0.046) and starting medications (aOR = 3.37, 95% CI: 1.52-7.56, p = 0.003) relative to their White counterparts. Patients residing in care facilities, including board-and-care homes and assisted living communities, were significantly less likely to receive referrals (aOR = 0.31, 95% CI: 0.09-0.88, p = 0.038).
Conclusion: As dementia care managers, NPs can support the diverse dementia care needs of enrolled patients with dementia. Integrating NPs into dementia care models, such as the CMS GUIDE Model, may enhance care quality and equity, particularly for populations with complex medical needs or those facing barriers to adequate dementia care.
背景:在美国,痴呆症影响着超过650万人。医疗保险和医疗补助服务中心(CMS)引入了指导改善痴呆症体验(GUIDE)模式,以规范和解决痴呆症护理方面的差距。虽然社会和教育干预是痴呆症护理管理的主要组成部分,但某些患者需要医疗干预,如转诊和行为问题的药物治疗。本研究旨在描述Cedars-Sinai C.A.R.E.S.项目(CMS GUIDE模型站点)内执业护士(NP)痴呆护理管理人员提供的痴呆护理。方法:这项回顾性观察性研究分析了2021年7月至2024年10月期间参加雪松-西奈C.A.R.E.S.项目的394名痴呆症患者。从电子健康记录中提取患者人口统计资料、痴呆阶段和提供的医疗干预措施。Logistic回归模型评估痴呆护理使用的预测因素。结果:在394名入组患者中,51%接受了专科转诊,30%开始接受药物治疗,4%接受了实验室检查。NPs通常会给患者开痴呆症特异性药物(21.6%)和抗抑郁药(12.4%),并将患者转介到神经病学(36.6%)、精神病学(14.5%)和职业治疗(4.8%)。虽然在护理服务方面没有观察到显著差异,但患有轻度痴呆(CDR≤1)的黑人或非裔美国人接受任何医疗干预(aOR = 2.69, 95% CI: 1.07-7.78, p = 0.046)和开始用药(aOR = 3.37, 95% CI: 1.52-7.56, p = 0.003)的几率相对于白人更高。居住在护理机构的患者,包括寄宿和护理之家和辅助生活社区,接受转诊的可能性显着降低(aOR = 0.31, 95% CI: 0.09-0.88, p = 0.038)。结论:NPs作为痴呆护理管理者,可以支持入组痴呆患者多样化的痴呆护理需求。将NPs纳入痴呆症护理模式,如CMS GUIDE模型,可能会提高护理质量和公平性,特别是对于具有复杂医疗需求或面临适当痴呆症护理障碍的人群。
{"title":"Characteristics of Dementia Care Provided by Nurse Practitioners: Findings From the Cedars-Sinai C.A.R.E.S. Program.","authors":"Nabeel Qureshi, Drew Hirsch, Deana Rhinehart, Dyane Gatmaitan, Sarah Kremen, Mitzi M Gonzales, Nancy Sicotte, Zaldy S Tan","doi":"10.1111/jgs.70244","DOIUrl":"https://doi.org/10.1111/jgs.70244","url":null,"abstract":"<p><strong>Background: </strong>Dementia affects over 6.5 million people in the United States. The centers for medicare & medicaid services (CMS) introduced the guiding an improving dementia experience (GUIDE) Model to standardize and address gaps in dementia care. Whereas social and educational interventions form a major part of dementia care management, certain patients require medical interventions, such as referrals and medication for behavioral issues. This study aims to describe the dementia care provided by nurse practitioner (NP) dementia care managers within the Cedars-Sinai C.A.R.E.S. Program, a CMS GUIDE Model site.</p><p><strong>Methods: </strong>This retrospective observational study analyzed 394 people living with dementia enrolled in the Cedars-Sinai C.A.R.E.S. Program from July 2021 to October 2024. Patient demographics, dementia stage, and provided medical interventions were extracted from electronic health records. Logistic regression models assessed predictors of dementia care use.</p><p><strong>Results: </strong>Among 394 enrolled patients, 51% received a specialty referral, 30% were initiated on medication, and 4% underwent laboratory testing. NPs commonly prescribed dementia-specific medications (21.6%) and antidepressants (12.4%) and referred patients to neurology (36.6%), psychiatry (14.5%), and occupational therapy (4.8%). Whereas no significant disparities in care delivery were observed, Black or African Americans with mild dementia (CDR ≤ 1) had higher odds of receiving any medical intervention (aOR = 2.69, 95% CI: 1.07-7.78, p = 0.046) and starting medications (aOR = 3.37, 95% CI: 1.52-7.56, p = 0.003) relative to their White counterparts. Patients residing in care facilities, including board-and-care homes and assisted living communities, were significantly less likely to receive referrals (aOR = 0.31, 95% CI: 0.09-0.88, p = 0.038).</p><p><strong>Conclusion: </strong>As dementia care managers, NPs can support the diverse dementia care needs of enrolled patients with dementia. Integrating NPs into dementia care models, such as the CMS GUIDE Model, may enhance care quality and equity, particularly for populations with complex medical needs or those facing barriers to adequate dementia care.</p>","PeriodicalId":94112,"journal":{"name":"Journal of the American Geriatrics Society","volume":" ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2025-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145770397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aaron M Ogletree, Shannon E Jarrott, Shelbie G Turner, Michelle R Demetres
This scoping review provides key trends in the use of the Delphi method applied to geriatrics and gerontology research, and documents key information that can be used in the planning of future Delphi studies, like recruitment rates, number of Delphi rounds and panelists, attrition, consensus definitions, and stakeholders engaged.
{"title":"A Scoping Review of Delphi Studies: Trends and Gaps in Aging Research.","authors":"Aaron M Ogletree, Shannon E Jarrott, Shelbie G Turner, Michelle R Demetres","doi":"10.1111/jgs.70246","DOIUrl":"https://doi.org/10.1111/jgs.70246","url":null,"abstract":"<p><p>This scoping review provides key trends in the use of the Delphi method applied to geriatrics and gerontology research, and documents key information that can be used in the planning of future Delphi studies, like recruitment rates, number of Delphi rounds and panelists, attrition, consensus definitions, and stakeholders engaged.</p>","PeriodicalId":94112,"journal":{"name":"Journal of the American Geriatrics Society","volume":" ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2025-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145764119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Joyita Banerjee, Jung Ki Kim, Emma Nichols, Pranali Khobragade, A B Dey, Sharmistha Dey, Eileen Crimmins, David Flood, Kenneth M Langa, Jinkook Lee, Peifeng Hu
Background: Rapid increase in cardiometabolic diseases in India may contribute to increased incidence of late-life cognitive impairment. This study focuses on associations between baseline cardiometabolic risk factors and subsequent decline in cognitive function among older adults in India, leveraging data from two waves (Wave 1: 2017-2020, Wave 2: 2022-2024) of the Longitudinal Aging Study in India-Diagnostic Assessment of Dementia (LASI-DAD).
Methods: Analysis included longitudinal data of 1554 study participants. A summary measure of different cognitive functional domains was used. Cognitive decline was defined as annual decline in cognitive score ≥ 0.05 times the standard deviation of the summary score. Cardiometabolic risk was characterized using cardiovascular, metabolic, and inflammatory biomarkers. Multivariate, multinomial logistic regression analysis was used to examine the associations between cardiometabolic risk and cognitive decline.
Results: At baseline, 71.7% of the sample had elevated homocysteine levels, 44.4% had elevated blood pressure, 23% had elevated glycosylated hemoglobin (HbA1c), and 6.7% had elevated uric acid levels. Between the two waves, 34.8% experienced significant cognitive decline, while 35.6% died. Multivariate multinomial logistic regression showed significant cognitive decline was associated with elevated blood pressure [odds ratio (OR): 1.7, 95% confidence interval (CI) 1.3-2.2], elevated HbA1c (OR: 1.1, 95% CI: 1.0-1.2), being overweight (OR: 1.4, 95% CI: 1.0-2.0), and elevated uric acid level (OR: 1.2, 95% CI: 1.0-1.3). Those with hypertension had 1.5 times higher odds of mortality (95% confidence interval: 1.2-2.0), while those with diabetes mellitus or elevated pro-brain natriuretic peptide had 1.2 times (95% CI: 1.1-1.4), and 1.8 times (95% CI: 1.1-1.4) higher odds of mortality.
Conclusion: Cardiometabolic risk factors play a significant role in late-life cognitive decline and death among older Indians. These longitudinal relationships from LASI-DAD highlight potentially modifiable risk factors and inform potential prevention policies.
{"title":"Cardiometabolic-Inflammatory Risk Factors and Cognitive Decline Among Older Indians-Report From a Nationally Representative, Longitudinal Study.","authors":"Joyita Banerjee, Jung Ki Kim, Emma Nichols, Pranali Khobragade, A B Dey, Sharmistha Dey, Eileen Crimmins, David Flood, Kenneth M Langa, Jinkook Lee, Peifeng Hu","doi":"10.1111/jgs.70249","DOIUrl":"https://doi.org/10.1111/jgs.70249","url":null,"abstract":"<p><strong>Background: </strong>Rapid increase in cardiometabolic diseases in India may contribute to increased incidence of late-life cognitive impairment. This study focuses on associations between baseline cardiometabolic risk factors and subsequent decline in cognitive function among older adults in India, leveraging data from two waves (Wave 1: 2017-2020, Wave 2: 2022-2024) of the Longitudinal Aging Study in India-Diagnostic Assessment of Dementia (LASI-DAD).</p><p><strong>Methods: </strong>Analysis included longitudinal data of 1554 study participants. A summary measure of different cognitive functional domains was used. Cognitive decline was defined as annual decline in cognitive score ≥ 0.05 times the standard deviation of the summary score. Cardiometabolic risk was characterized using cardiovascular, metabolic, and inflammatory biomarkers. Multivariate, multinomial logistic regression analysis was used to examine the associations between cardiometabolic risk and cognitive decline.</p><p><strong>Results: </strong>At baseline, 71.7% of the sample had elevated homocysteine levels, 44.4% had elevated blood pressure, 23% had elevated glycosylated hemoglobin (HbA1c), and 6.7% had elevated uric acid levels. Between the two waves, 34.8% experienced significant cognitive decline, while 35.6% died. Multivariate multinomial logistic regression showed significant cognitive decline was associated with elevated blood pressure [odds ratio (OR): 1.7, 95% confidence interval (CI) 1.3-2.2], elevated HbA1c (OR: 1.1, 95% CI: 1.0-1.2), being overweight (OR: 1.4, 95% CI: 1.0-2.0), and elevated uric acid level (OR: 1.2, 95% CI: 1.0-1.3). Those with hypertension had 1.5 times higher odds of mortality (95% confidence interval: 1.2-2.0), while those with diabetes mellitus or elevated pro-brain natriuretic peptide had 1.2 times (95% CI: 1.1-1.4), and 1.8 times (95% CI: 1.1-1.4) higher odds of mortality.</p><p><strong>Conclusion: </strong>Cardiometabolic risk factors play a significant role in late-life cognitive decline and death among older Indians. These longitudinal relationships from LASI-DAD highlight potentially modifiable risk factors and inform potential prevention policies.</p>","PeriodicalId":94112,"journal":{"name":"Journal of the American Geriatrics Society","volume":" ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2025-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145764183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Olajide J Olagunju, Oladayo A Oyebanji, Debbie Keresztesy, Evan Dickerson, Tiffany Wallace, Laurel Holland, Mike Payne, Ellen See, Chia Jung Li, Eunice Lim, Yasin Abul, Clare Nugent, Ivis Perez, H Edward Davidson, Lisa Han, Alejandro Balazs, Jürgen Bosch, Christopher L King, Brigid Wilson, Stefan Gravenstein, David H Canaday
Background: Nursing home residents (NHRs) remain at high risk for severe outcomes following SARS-CoV-2 infection. Omicron descendants have dominated circulating strains, with XBB in 2023 and KP.2 strain by mid-2024, leading to immune escape and increased transmissibility. We aimed to assess the immunogenicity of one versus two prior doses of the XBB.1.5 vaccines and potential differences in the subsequent response to the KP.2 booster.
Methods: We conducted a longitudinal immunologic evaluation of 131 NHRs in Ohio and Rhode Island. Samples were collected 2-6 weeks after the first and second XBB.1.5 vaccination doses, 60 days before KP.2 vaccination, and 2-6 weeks after the KP.2 booster. We measured anti-spike and neutralizing antibody titers to both XBB.1.5 and KP.2.
Results: NHRs who received two booster doses of the XBB.1.5 vaccine developed higher peak anti-spike antibody levels (29,777 AU/mL) and neutralizing titers (7082) compared to those with only one dose (13,788 AU/mL and 1293, respectively). Over time, anti-spike antibody and neutralizing titers declined, but both remained higher in the two-dose group before receiving the KP.2 vaccine. After vaccination with XBB.1.5, neutralization against KP.2 was significantly lower than against XBB.1.5, suggesting reduced cross-reactivity and highlighting the potential for immune escape. However, KP.2 vaccination markedly boosted neutralizing titers in all participants, regardless of their prior XBB.1.5 dose history.
Conclusion: NHRs who received a two-dose regimen of the XBB.1.5 vaccine demonstrated stronger immune responses and higher pre-KP.2 titers than those who received a single dose. However, the diminished cross-protective neutralization of KP.2 highlights the variant's immune evasiveness. The KP.2 booster effectively elicited anti-KP.2 levels, supporting the continued use of updated, variant-matched boosters to protect high-risk populations such as NHRs.
{"title":"Immunologic Evaluation of First and Second Doses of SARS-CoV-2 XBB.1.5 and the KP.2 Monovalent Booster Vaccines in Nursing Home Residents.","authors":"Olajide J Olagunju, Oladayo A Oyebanji, Debbie Keresztesy, Evan Dickerson, Tiffany Wallace, Laurel Holland, Mike Payne, Ellen See, Chia Jung Li, Eunice Lim, Yasin Abul, Clare Nugent, Ivis Perez, H Edward Davidson, Lisa Han, Alejandro Balazs, Jürgen Bosch, Christopher L King, Brigid Wilson, Stefan Gravenstein, David H Canaday","doi":"10.1111/jgs.70243","DOIUrl":"https://doi.org/10.1111/jgs.70243","url":null,"abstract":"<p><strong>Background: </strong>Nursing home residents (NHRs) remain at high risk for severe outcomes following SARS-CoV-2 infection. Omicron descendants have dominated circulating strains, with XBB in 2023 and KP.2 strain by mid-2024, leading to immune escape and increased transmissibility. We aimed to assess the immunogenicity of one versus two prior doses of the XBB.1.5 vaccines and potential differences in the subsequent response to the KP.2 booster.</p><p><strong>Methods: </strong>We conducted a longitudinal immunologic evaluation of 131 NHRs in Ohio and Rhode Island. Samples were collected 2-6 weeks after the first and second XBB.1.5 vaccination doses, 60 days before KP.2 vaccination, and 2-6 weeks after the KP.2 booster. We measured anti-spike and neutralizing antibody titers to both XBB.1.5 and KP.2.</p><p><strong>Results: </strong>NHRs who received two booster doses of the XBB.1.5 vaccine developed higher peak anti-spike antibody levels (29,777 AU/mL) and neutralizing titers (7082) compared to those with only one dose (13,788 AU/mL and 1293, respectively). Over time, anti-spike antibody and neutralizing titers declined, but both remained higher in the two-dose group before receiving the KP.2 vaccine. After vaccination with XBB.1.5, neutralization against KP.2 was significantly lower than against XBB.1.5, suggesting reduced cross-reactivity and highlighting the potential for immune escape. However, KP.2 vaccination markedly boosted neutralizing titers in all participants, regardless of their prior XBB.1.5 dose history.</p><p><strong>Conclusion: </strong>NHRs who received a two-dose regimen of the XBB.1.5 vaccine demonstrated stronger immune responses and higher pre-KP.2 titers than those who received a single dose. However, the diminished cross-protective neutralization of KP.2 highlights the variant's immune evasiveness. The KP.2 booster effectively elicited anti-KP.2 levels, supporting the continued use of updated, variant-matched boosters to protect high-risk populations such as NHRs.</p>","PeriodicalId":94112,"journal":{"name":"Journal of the American Geriatrics Society","volume":" ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2025-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145758435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jasmine Mah, Lucy Eum, Lindsey Puddicombe, Christie Stilwell, Karen Nicholls, Hamish Frayne, Clara Long, Kristin Ko, Victoria Howatt, Margaret Man-Ger Sun, Lynnea Lobert, Gali Latariya, Katalin Koller, Susan Freter, Maia von Maltzahn, Kenneth Rockwood, Samuel D Searle, Melissa K Andrew
{"title":"A Retrospective Chart Review of the Prevalence, Characteristics, and Discharge Destinations of Patients Hospitalized as \"Social Admissions\".","authors":"Jasmine Mah, Lucy Eum, Lindsey Puddicombe, Christie Stilwell, Karen Nicholls, Hamish Frayne, Clara Long, Kristin Ko, Victoria Howatt, Margaret Man-Ger Sun, Lynnea Lobert, Gali Latariya, Katalin Koller, Susan Freter, Maia von Maltzahn, Kenneth Rockwood, Samuel D Searle, Melissa K Andrew","doi":"10.1111/jgs.70248","DOIUrl":"https://doi.org/10.1111/jgs.70248","url":null,"abstract":"","PeriodicalId":94112,"journal":{"name":"Journal of the American Geriatrics Society","volume":" ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2025-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145746259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Reply to: Comment on \"Physical Resilience After Hip Fracture: Unpacking the Roles of Resistance and Recovery\".","authors":"Chenkai Wu, Jianhong Xu","doi":"10.1111/jgs.70254","DOIUrl":"https://doi.org/10.1111/jgs.70254","url":null,"abstract":"","PeriodicalId":94112,"journal":{"name":"Journal of the American Geriatrics Society","volume":" ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2025-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145746292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comment on \"Physical Resilience After Hip Fracture: Unpacking the Roles of Resistance and Recovery\" by Xu et al.","authors":"Shuo Yang, Tao Han, Faxue Liao","doi":"10.1111/jgs.70253","DOIUrl":"https://doi.org/10.1111/jgs.70253","url":null,"abstract":"","PeriodicalId":94112,"journal":{"name":"Journal of the American Geriatrics Society","volume":" ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2025-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145746279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sarina Hanfling, Sasha J Vereecken, Kate MacRae, Rachel Rubin
A New Era for Menopause Hormone Therapy: Key Considerations for Geriatricians After FDA Boxed Warning Removal.
绝经期激素治疗的新时代:FDA取消黑框警告后老年病医生的关键考虑。
{"title":"FDA Boxed Warning Removal on Menopause Hormone Therapy: What Geriatricians Should Know.","authors":"Sarina Hanfling, Sasha J Vereecken, Kate MacRae, Rachel Rubin","doi":"10.1111/jgs.70256","DOIUrl":"10.1111/jgs.70256","url":null,"abstract":"<p><p>A New Era for Menopause Hormone Therapy: Key Considerations for Geriatricians After FDA Boxed Warning Removal.</p>","PeriodicalId":94112,"journal":{"name":"Journal of the American Geriatrics Society","volume":" ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2025-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145746224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alexandra K Lee, Ying Shi, Kasia J Lipska, Sei J Lee
Background: To avoid potential harms from hypoglycemia, guidelines for diabetes management in nursing home residents recommend less intensive glycemic control. However, it is unknown how often hypoglycemia and hyperglycemia co-occur in the same resident, which may present challenges for deintensification of diabetes treatment.
Methods: We conducted a cross-sectional study of insulin-treated Veterans Affairs nursing home residents with diabetes aged ≥ 65 years from 1/1/2016 to 9/30/2019 with a nursing home stay ≥ 7 days. Residents missing fingerstick glucose measurements during the first 7 days were excluded. We classified insulin use as basal insulin only, bolus insulin only, or a combination of basal and bolus insulin. We examined the prevalence of fingerstick-detected hypoglycemia (< 54 mg/dL, 54-69 mg/dL) and hyperglycemia (250-299, 300-349, 350-399, ≥ 400 mg/dL) overall and stratified by type of insulin.
Results: Among 12,031 insulin-treated residents, the mean age was 74.4 years, 98% were male, and 22% were non-White. Most residents (n = 7176, 59.6%) were treated with a combination of basal and bolus insulin, 31.8% (n = 3829) used bolus insulin alone and 8.5% (n = 1026) used basal insulin alone. During the first 7 days of the nursing home stay, 5730 (48%) had hyperglycemia ≥ 250 mg/dL alone, 862 (7%) had hypoglycemia < 70 mg/dL alone, 1488 (12%) had both hyperglycemia and hypoglycemia, and 3951 (33%) had neither hypoglycemia nor hyperglycemia. Residents on a combination of basal and bolus insulin were more likely to have hyperglycemia ≥ 400 mg/dL (10.2% vs. 3.6% for bolus insulin alone and 1.6% for basal insulin alone, p < 0.001) and to have hypoglycemia < 54 mg/dL (8.4% vs. 2.9% for bolus alone vs. 5.9% for basal alone, p < 0.001).
Conclusion: Nearly two-thirds of nursing home residents with hypoglycemia also had hyperglycemia. Efforts to de-intensify diabetes treatment in nursing homes will need to address the high burden of hyperglycemia by tailoring the timing and type of insulin to minimize hypoglycemia while also not worsening hyperglycemia.
{"title":"Burden of Hypoglycemia and Hyperglycemia in Insulin-Treated Veterans Affairs Nursing Home Residents.","authors":"Alexandra K Lee, Ying Shi, Kasia J Lipska, Sei J Lee","doi":"10.1111/jgs.70229","DOIUrl":"10.1111/jgs.70229","url":null,"abstract":"<p><strong>Background: </strong>To avoid potential harms from hypoglycemia, guidelines for diabetes management in nursing home residents recommend less intensive glycemic control. However, it is unknown how often hypoglycemia and hyperglycemia co-occur in the same resident, which may present challenges for deintensification of diabetes treatment.</p><p><strong>Methods: </strong>We conducted a cross-sectional study of insulin-treated Veterans Affairs nursing home residents with diabetes aged ≥ 65 years from 1/1/2016 to 9/30/2019 with a nursing home stay ≥ 7 days. Residents missing fingerstick glucose measurements during the first 7 days were excluded. We classified insulin use as basal insulin only, bolus insulin only, or a combination of basal and bolus insulin. We examined the prevalence of fingerstick-detected hypoglycemia (< 54 mg/dL, 54-69 mg/dL) and hyperglycemia (250-299, 300-349, 350-399, ≥ 400 mg/dL) overall and stratified by type of insulin.</p><p><strong>Results: </strong>Among 12,031 insulin-treated residents, the mean age was 74.4 years, 98% were male, and 22% were non-White. Most residents (n = 7176, 59.6%) were treated with a combination of basal and bolus insulin, 31.8% (n = 3829) used bolus insulin alone and 8.5% (n = 1026) used basal insulin alone. During the first 7 days of the nursing home stay, 5730 (48%) had hyperglycemia ≥ 250 mg/dL alone, 862 (7%) had hypoglycemia < 70 mg/dL alone, 1488 (12%) had both hyperglycemia and hypoglycemia, and 3951 (33%) had neither hypoglycemia nor hyperglycemia. Residents on a combination of basal and bolus insulin were more likely to have hyperglycemia ≥ 400 mg/dL (10.2% vs. 3.6% for bolus insulin alone and 1.6% for basal insulin alone, p < 0.001) and to have hypoglycemia < 54 mg/dL (8.4% vs. 2.9% for bolus alone vs. 5.9% for basal alone, p < 0.001).</p><p><strong>Conclusion: </strong>Nearly two-thirds of nursing home residents with hypoglycemia also had hyperglycemia. Efforts to de-intensify diabetes treatment in nursing homes will need to address the high burden of hyperglycemia by tailoring the timing and type of insulin to minimize hypoglycemia while also not worsening hyperglycemia.</p>","PeriodicalId":94112,"journal":{"name":"Journal of the American Geriatrics Society","volume":" ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2025-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12870999/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145727537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Heather Davila, Kimberly D McCoy, Michelle A Mengeling, Radhika R Narla, Melissa J A Steffen, Karla L Miller, Samantha L Solimeo
DXA Utilization Among Veterans Aged ≥ 50 years by Facility-Reported DXA Capacity.
≥50岁退伍军人的DXA使用情况与设施报告的DXA能力。
{"title":"Capacity for and Utilization of Dual-Energy X-Ray Absorptiometry Within the Veterans Health Administration.","authors":"Heather Davila, Kimberly D McCoy, Michelle A Mengeling, Radhika R Narla, Melissa J A Steffen, Karla L Miller, Samantha L Solimeo","doi":"10.1111/jgs.70222","DOIUrl":"10.1111/jgs.70222","url":null,"abstract":"<p><p>DXA Utilization Among Veterans Aged ≥ 50 years by Facility-Reported DXA Capacity.</p>","PeriodicalId":94112,"journal":{"name":"Journal of the American Geriatrics Society","volume":" ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2025-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145688799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}