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1.
Medicina (Kaunas) ; 59(5)2023 May 18.
Article in English | MEDLINE | ID: mdl-37241208

ABSTRACT

Background and objectives: Chronic obstructive pulmonary disease (COPD) is usually comorbid with other chronic diseases. We aimed to assess the multimorbidity medication patterns and explore if the patterns are similar for phase 1 (P1) and 5-year follow-up phase 2 (P2) in the COPDGene cohort. Materials and Methods: A total of 5564 out of 10,198 smokers from the COPDGene cohort who completed 2 visits, P1 and P2 visits, with complete medication use history were included in the study. We conducted latent class analysis (LCA) among the 27 categories of chronic disease medications, excluding COPD treatments and cancer medications at P1 and P2 separately. The best number of LCA classes was determined through both statistical fit and interpretation of the patterns. Results: We found four classes of medication patterns at both phases. LCA showed that both phases shared similar characteristics in their medication patterns: LC0: low medication; LC1: hypertension (HTN) or cardiovascular disease (CVD)+high cholesterol (Hychol) medication predominant; LC2: HTN/CVD+type 2 diabetes (T2D) +Hychol medication predominant; LC3: Hychol medication predominant. Conclusions: We found similar multimorbidity medication patterns among smokers at P1 and P2 in the COPDGene cohort, which provides an understanding of how multimorbidity medication clustered and how different chronic diseases combine in smokers.


Subject(s)
Cardiovascular Diseases , Diabetes Mellitus, Type 2 , Hyperlipidemias , Pulmonary Disease, Chronic Obstructive , Humans , Multimorbidity , Smokers , Pulmonary Disease, Chronic Obstructive/drug therapy , Pulmonary Disease, Chronic Obstructive/epidemiology , Chronic Disease
2.
Bioeng Transl Med ; 8(3): e10487, 2023 May.
Article in English | MEDLINE | ID: mdl-37206200

ABSTRACT

Biomaterials are implanted in millions of individuals worldwide each year. Both naturally derived and synthetic biomaterials induce a foreign body reaction that often culminates in fibrotic encapsulation and reduced functional lifespan. In ophthalmology, glaucoma drainage implants (GDIs) are implanted in the eye to reduce intraocular pressure (IOP) in order to prevent glaucoma progression and vision loss. Despite recent efforts towards miniaturization and surface chemistry modification, clinically available GDIs are susceptible to high rates of fibrosis and surgical failure. Here, we describe the development of synthetic, nanofiber-based GDIs with partially degradable inner cores. We evaluated GDIs with nanofiber or smooth surfaces to investigate the effect of surface topography on implant performance. We observed in vitro that nanofiber surfaces supported fibroblast integration and quiescence, even in the presence of pro-fibrotic signals, compared to smooth surfaces. In rabbit eyes, GDIs with a nanofiber architecture were biocompatible, prevented hypotony, and provided a volumetric aqueous outflow comparable to commercially available GDIs, though with significantly reduced fibrotic encapsulation and expression of key fibrotic markers in the surrounding tissue. We propose that the physical cues provided by the surface of the nanofiber-based GDIs mimic healthy extracellular matrix structure, mitigating fibroblast activation and potentially extending functional GDI lifespan.

3.
J Gen Intern Med ; 38(13): 2988-2997, 2023 10.
Article in English | MEDLINE | ID: mdl-37072532

ABSTRACT

BACKGROUND: COPD diagnosis is tightly linked to the fixed-ratio spirometry criteria of FEV1/FVC < 0.7. African-Americans are less often diagnosed with COPD. OBJECTIVE: Compare COPD diagnosis by fixed-ratio with findings and outcomes by race. DESIGN: Genetic Epidemiology of COPD (COPDGene) (2007-present), cross-sectional comparing non-Hispanic white (NHW) and African-American (AA) participants for COPD diagnosis, manifestations, and outcomes. SETTING: Multicenter, longitudinal US cohort study. PARTICIPANTS: Current or former smokers with ≥ 10-pack-year smoking history enrolled at 21 clinical centers including over-sampling of participants with known COPD and AA. Exclusions were pre-existing non-COPD lung disease, except for a history of asthma. MEASUREMENTS: Subject diagnosis by conventional criteria. Mortality, imaging, respiratory symptoms, function, and socioeconomic characteristics, including area deprivation index (ADI). Matched analysis (age, sex, and smoking status) of AA vs. NHW within participants without diagnosed COPD (GOLD 0; FEV1 ≥ 80% predicted and FEV1/FVC ≥ 0.7). RESULTS: Using the fixed ratio, 70% of AA (n = 3366) were classified as non-COPD, versus 49% of NHW (n = 6766). AA smokers were younger (55 vs. 62 years), more often current smoking (80% vs. 39%), with fewer pack-years but similar 12-year mortality. Density distribution plots for FEV1 and FVC raw spirometry values showed disproportionate reductions in FVC relative to FEV1 in AA that systematically led to higher ratios. The matched analysis demonstrated GOLD 0 AA had greater symptoms, worse DLCO, spirometry, BODE scores (1.03 vs 0.54, p < 0.0001), and greater deprivation than NHW. LIMITATIONS: Lack of an alternative diagnostic metric for comparison. CONCLUSIONS: The fixed-ratio spirometric criteria for COPD underdiagnosed potential COPD in AA participants when compared to broader diagnostic criteria. Disproportionate reductions in FVC relative to FEV1 leading to higher FEV1/FVC were identified in these participants and associated with deprivation. Broader diagnostic criteria for COPD are needed to identify the disease across all populations.


Subject(s)
Pulmonary Disease, Chronic Obstructive , Humans , Black or African American , Cohort Studies , Cross-Sectional Studies , Forced Expiratory Volume , Longitudinal Studies , Pulmonary Disease, Chronic Obstructive/diagnosis , Pulmonary Disease, Chronic Obstructive/epidemiology , Spirometry , Vital Capacity , Middle Aged , White , Smoking/adverse effects
4.
J La State Med Soc ; 166(3): 109-18, 2014.
Article in English | MEDLINE | ID: mdl-25075727

ABSTRACT

OBJECTIVES: The medical home is associated with key healthcare services. We assessed its association with the pediatric developmental screening among United States (US) children less than or equal to five years. METHODS: The 2007 national survey of children's health data was analyzed using state clusters, and pediatric developmental screening probability was modeled as a function of the medical home. RESULTS: Only 19.5% of US children received pediatric developmental screening, and crosstabs showed a null medical home association. Based on medical home status, adjusted state models showed much variation in pediatric developmental screening odds. A random intercept and slope model had the best fit. The medical home increased pediatric developmental screening odds by 24% (1.10, 1.38). CONCLUSIONS: The pediatric developmental screening rate and the medical home association are partially influenced by an individual's state. A multilevel model including state level predictors will help illuminate factors that promote healthcare service acquisition. This knowledge will enhance policy development in public and private sector health programs.


Subject(s)
Child Development , Child Health , National Health Programs , Child, Preschool , Female , Humans , Infant , Male , United States
5.
Matern Child Health J ; 17(7): 1269-76, 2013 Sep.
Article in English | MEDLINE | ID: mdl-23010862

ABSTRACT

Cigarette smoking is a serious global public health issue, and is particularly harmful to the maternal and child population. The study aimed to determine if there was an association between smoking cessation intervention during pregnancy and postpartum smoking relapse, and to define a time trend of postpartum smoking relapse after delivery. Data from the 2004-2008 pregnancy risk assessment monitoring systems of Colorado, Maine, Ohio, and Washington were analyzed. Logistic regression was used to define the association between smoking cessation intervention and postpartum smoking relapse, and to identify trend of postpartum smoking relapse. Analyses were done using SAS-Callable SUDAAN v.10.0 and Mplus v.6.0. Among the 2,938 women in the study the relapse rate was 48 %. It was 45 % among those without intervention, 58 % among those who received only counseling, and 57 % among those who received both counseling with treatment and/or referral. The rate was 42, 61, and 67 % among women whose infants were at 2-3, 4-5, and 6 months or more, respectively. Adjusted logistic regression models showed a trend of increased smoking relapse, but did not indicate an association between smoking cessation intervention and smoking relapse. Rates of smoking relapse were high and increased by time after delivery. Smoking cessation intervention during pregnancy may not be successful at preventing postpartum smoking relapse.


Subject(s)
Health Promotion/methods , Postpartum Period , Secondary Prevention , Smoking Cessation/methods , Smoking Prevention , Adult , Counseling , Female , Follow-Up Studies , Humans , Logistic Models , Population Surveillance , Pregnancy , Prenatal Care , Risk Assessment , Smoking/psychology , Smoking Cessation/psychology , Time Factors , United States , Young Adult
6.
Matern Child Health J ; 16(4): 824-33, 2012 May.
Article in English | MEDLINE | ID: mdl-21505782

ABSTRACT

The Medical Home (MH) is shown to improve health outcomes for Youth with Special Health Care Needs (YSHCN). Some MH services involve Transition from pediatric to adult providers to ensure YSHCN have continuous care. Studies indicate racial/ethnic disparities for Transition, whereas the MH is shown to reduce health disparities. This study aims to (1) Determine the Transition rate for YSHCN with a MH (MH Transition) nationally, and by race/ethnicity (2) Identify which characteristics are associated with MH Transition (3) Determine if racial/ethnic disparities exist after controlling for associated characteristics, and (4) Identify which characteristics are uniquely associated with each race/ethnic group. National survey data were used. YSCHN with a MH were grouped as receiving Transition or not. Characteristics included race, ethnicity (Non-Hispanic (NH), Hispanic), sex, health condition effect, five special health care need categories, education, poverty, adequate insurance, and urban/rural residence. Frequencies, chi-square, and logistic regression were used to calculate rates and define associations. Alpha was set to 0.05. About 57.0% of YSHCN received MH Transition. Rates by race/ethnicity were 59.0, 45.5, 60.2, 41.9, and 44.6% for NH-White, NH-Black, NH-Multiple race, NH-Other, and Hispanic YSHCN, respectively. Disparities remained between NH-White and NH-Black YSHCN. All characteristics except urban/rural status were associated. Adequate insurance was associated for all race/ethnic groups, except NH-Black YSHCN. Almost 57.0% of YSHCN received MH Transition. Disparities remained. Rates and associated characteristics differed by race/ethnic group. Culturally tailored interventions incorporating universal factors to improve MH Transition outcomes are warranted.


Subject(s)
Continuity of Patient Care/organization & administration , Disabled Children/statistics & numerical data , Ethnicity/statistics & numerical data , Health Services Accessibility , Healthcare Disparities/statistics & numerical data , Patient-Centered Care , Adolescent , Adult , Child , Child Health Services/organization & administration , Cross-Sectional Studies , Delivery of Health Care/methods , Family Characteristics , Female , Health Care Surveys , Health Services Accessibility/statistics & numerical data , Health Services Needs and Demand , Healthcare Disparities/ethnology , Humans , Insurance, Health , Logistic Models , Male , Needs Assessment , Socioeconomic Factors
7.
Matern Child Health J ; 15(6): 782-93, 2011 Aug.
Article in English | MEDLINE | ID: mdl-20628798

ABSTRACT

This is a prospective study to evaluate ability of a nurse care coordinator to: (1) improve ability of a pediatric clinic to meet medical home (MH) objectives and (2) improve receipt of services for families of children with special health care needs (CSHCN). A nurse was hired to provide care coordination for CSHCN in an urban, largely Medicaid pediatric academic practice. CSHCN were identified using a CSHCN Screener. Ability to meet MH criteria was determined using the MH Index (MHI). Receipt of MH services was measured using the MH Family Index (MHFI). After baseline surveys were completed, Hurricane Katrina destroyed the clinic. Care coordination was implemented for the post-disaster population. Surveys were repeated in the rebuilt clinic after at least 3 months of care coordination. The distribution of demographics, diagnoses and percent CSHCN did not significantly change pre and post Katrina. Psychosocial needs such as food, housing, mental health and education were markedly increased. Essential strategies included developing a new tool for determining complexity of needs and involvement of the entire practice in care coordination activities. MHFI showed improvement in receipt of services post care coordination and post-Katrina with P < 0.05 for 13 of 16 questions. MHI demonstrated improvement in care coordination and community outreach domains. Average cost was $36.88 per CSHCN per year. There was significant improvement in the ability of the clinic to meet care coordination and community outreach MH criteria and in family receipt of services after care coordination, despite great increase in psychosocial needs. This study provides practical strategies for implementing care coordination for families of high risk CSHCN in underserved populations.


Subject(s)
Child Health Services/organization & administration , Disabled Children , Patient-Centered Care/organization & administration , Pediatrics/organization & administration , Child , Cyclonic Storms , Female , Humans , Male , Medicaid , New Orleans , Prospective Studies , United States
8.
Matern Child Health J ; 15(6): 742-52, 2011 Aug.
Article in English | MEDLINE | ID: mdl-20602158

ABSTRACT

OBJECTIVES: (1) Rank states and southern region by racial disparity between black and white Youth with Special Health Care Needs (YSHCN) for Healthcare Transition receipt; (2) Determine if a racial and geographic disparity exists after control of characteristics. METHODS: The 05/06 National Survey of Children with Special Health Care Needs data were used. A composite of Medical Home and Transition Outcome Measures captured Healthcare Transition. If both were met, Healthcare Transition was received; otherwise, if neither were met, it was not received. Race was grouped as Non-Hispanic black or white. Census Bureau regions defined geography. South was categorized as Deep South or remaining southern states. Characteristics included sex, age, health condition effect, education, poverty, adequate insurance, and metropolitan status. Observations were limited to YSHCN. Chi-square and logistic regression were conducted. Alpha was set to .05. RESULTS: A national 42% healthcare transition rate, and 25% racial gap was calculated (higher rate among white YSHCN). White YSHCN had more than twice, and Midwestern had 44% higher Healthcare Transition odds in regression analysis; sex, health condition effect, insurance, and education remained significant. For the Southern region, the Healthcare Transition rate was 38% with a 26% racial gap. White YSHCN had about 2.6 higher odds, and southern geography was not associated in regression analysis. Education, poverty, adequate insurance, and health condition effect remained significant. CONCLUSIONS: A low Healthcare Transition rate was found, and disparities are poignant. Culturally salient intervention programs to address racial and geographic disparities are needed for Healthcare Transition eligible YSHCN.


Subject(s)
Continuity of Patient Care/organization & administration , Disabled Children/statistics & numerical data , Healthcare Disparities/statistics & numerical data , Adolescent , Black or African American/statistics & numerical data , Child , Female , Health Services Needs and Demand , Healthcare Disparities/ethnology , Humans , Male , Midwestern United States , Socioeconomic Factors , Southeastern United States , White People/statistics & numerical data
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