Tag: nevin manimala

J Public Health Dent. 2022 Mar;82 Suppl 1:89-102. doi: 10.1111/jphd.12522.

ABSTRACT

OBJECTIVES: Addressing inequities in oral health care requires identification of which populations are experiencing performance gaps and the extent of those gaps. This study used Dental Quality Alliance (DQA) measures to examine variations in quality by race and ethnicity.

METHODS: We used eligibility and claims data for 2018 for children aged <21 years for state Medicaid/CHIP programs available through the Transformed Medicaid Statistical Information System. For a subset of states with sufficient data quality, we calculated DQA measures of utilization of services, oral evaluation, and topical fluoride. The measures were stratified by race and ethnicity, age, sex, geographic location, and language. We used bivariate logistic regression to analyze relative disparities.

RESULTS: Variations in measure scores were noted between racial and ethnic groups. Measure scores were typically lower for non-Hispanic black and American Indian/Alaskan Native children and higher for non-Hispanic Asian and Hispanic children compared with non-Hispanic white children. There also was variation in the patterns of disparities between states. More than two-thirds of states had insufficient race and ethnicity data (>10% missing) to reliably report stratified measure scores.

CONCLUSIONS: Because disparities vary by state, each Medicaid/CHIP program should evaluate variations in care quality in the context of the population it serves. A critical first step is to improve collection of race and ethnicity. These measurements can be used to set improvement goals that not only raise quality of care for the population overall but also close gaps in performance between racial and ethnic groups.

PMID:35726463 | DOI:10.1111/jphd.12522

J Hypertens. 2022 Jun 21. doi: 10.1097/HJH.0000000000003172. Online ahead of print.

ABSTRACT

BACKGROUND: Little is known whether children’s sodium intake is affected by the national salt reduction programme in the United Kingdom (UK), particularly in relation to socioeconomic groups. We aimed to assess the trend of sodium intake among children from different socioeconomic backgrounds in the UK, from 2008-2009 to 2018-2019.

METHODS: Repeated cross-sectional analyses of data from the National Diet and Nutrition Survey in children aged 4-18 years. Sodium intake was estimated from a 4-day dietary record in years 2008-2009 to 2018-2019 and 24-h urine collection (2008-2009 to 2011-2012 only). Socioeconomic status was based on parental occupation and equivalized household income.

RESULTS: We included 6281 children (age 11.0 ± 4.3 years, 51.3% boys). In 2008-2009 to 2011-2012, the mean sodium intake was 2342.4 ± 60.0 mg/day as measured by 24-h urinary sodium excretion, and was 2053.1 ± 18.2 mg/day by dietary records. From 2008-2009 to 2018-2019, the sodium intake as assessed by dietary records decreased by 15, 9 and 12% in children from routine and manual occupation families, intermediate occupation families and higher managerial, administrative and professional occupation families, respectively. On the basis of dietary records, the sodium intake of children from families in routine and manual occupations was 109.6 ± 23.1 mg/day (P < 0.001) higher than those from higher managerial, administrative and professional occupation families in 2008-2009 to 2011-2012. Sodium intake measured by 24-h urine collection during the same period also showed a difference between occupation groups, but it was not statistically significant. The occupational differences in sodium intake became smaller over time and were no longer significant in 2016-2017 to 2018-2019. Similar findings were found for household income.

CONCLUSION: Sodium intake as assessed by dietary records decreased over the 10-year period from 2008-2009 to 2018-2019 in children from all socioeconomic groups, particularly in those from lower socioeconomic backgrounds. These findings suggest that the national salt reduction programme could potentially help reduce health inequality related to sodium intake in children.

PMID:35726456 | DOI:10.1097/HJH.0000000000003172

Diabetes Obes Metab. 2022 Jun 21. doi: 10.1111/dom.14802. Online ahead of print.

ABSTRACT

AIMS: To compare the risk of cardiovascular outcomes with long-acting insulin analogues versus Neutral Protamine Hagedorn (NPH) insulin among patients with type 2 diabetes.

MATERIALS AND METHODS: We conducted a population-based retrospective cohort study, using the United Kingdom Clinical Practice Research Datalink Aurum, linked with hospitalization and vital statistics data. Patients with type 2 diabetes who initiated basal insulin treatment between 2002-2018 were included in the study. Exposure was defined as current use of long-acting insulin analogues or NPH insulin, defined using a time-varying approach. The primary outcome was major adverse cardiovascular events (MACE, composite endpoint of myocardial infarction [MI], ischemic stroke, and cardiovascular death). We used a marginal structural Cox proportional hazards model to estimate the hazard ratio (HR) and 95% confidence interval (CI) for MACE with current use of long-acting insulin analogues versus NPH insulin, and by long-acting insulin molecule in secondary analyses.

RESULTS: Our cohort included 57 334 patients. A total of 3494 MACE events occurred over a mean follow-up of 1.6 years (incidence rate: 37.4, 95% CI: 36.2 to 38.7 per 1000 person-years). Long-acting insulin analogues were associated with a decreased risk of MACE compared to NPH insulin (HR: 0.89, 95% CI: 0.83 to 0.96).

CONCLUSIONS: Current use of long-acting insulin analogues is associated with a modestly reduced risk of MACE compared to current use of NPH insulin among patients with type 2 diabetes. This study can have important implications for drug plan managers and guideline writing committees for recommendations of insulin treatment for type 2 diabetes. This article is protected by copyright. All rights reserved.

PMID:35726454 | DOI:10.1111/dom.14802

J Cosmet Dermatol. 2022 Jun;21(6):2577-2580. doi: 10.1111/jocd.14475. Epub 2021 Sep 28.

ABSTRACT

BACKGROUND: The significance of tumor thickness is not clear in the prognosis of basal cell carcinoma. We aimed to identify the relationship between the tumor thickness and aggressive histopathological growth pattern in BCC.

METHODS: We retrospectively reviewed 85 primary BCCs of 82 patients. A total of 78 (91.7%) tumor slides were available for review, 7 (8.2%) missing slides in archive could not to be re-evaluated. We recorded the histological subtype, ulceration, perineural invasion, and the tumor thickness. Tumors with infiltrative, micronodular, morpheaform and basosquamous features were classified as having an aggressive growth pattern.

RESULTS: The aggressive growth pattern was determined in 21 (26.9%) tumors with a mean tumor thickness of 2.19 ± 0.71 mm (range, 0.9-3.40). The non-aggressive growth pattern was detected in 57 (73%) tumors and the mean tumor thickness was 1.76 ± 0.87 mm (range 0.50-4.40 mm). There was a statistically significant difference in the mean tumor thickness between the tumors with aggressive growth pattern and non-aggressive growth pattern (p = 0.033).

CONCLUSION: Tumor thickness might have positive correlation with aggressive histological pattern. Measuring and reporting tumor thickness may be a more practical way to determine the pathological risk for BCC.

PMID:35726442 | DOI:10.1111/jocd.14475

Lifetime Data Anal. 2022 Jun 20. doi: 10.1007/s10985-022-09561-9. Online ahead of print.

ABSTRACT

Studies of chronic disease often involve modeling the relationship between marker processes and disease onset or progression. The Cox regression model is perhaps the most common and convenient approach to analysis in this setting. In most cohort studies, however, biospecimens and biomarker values are only measured intermittently (e.g. at clinic visits) so Cox models often treat biomarker values as fixed at their most recently observed values, until they are updated at the next visit. We consider the implications of this convention on the limiting values of regression coefficient estimators when the marker values themselves impact the intensity for clinic visits. A joint multistate model is described for the marker-failure-visit process which can be fitted to mitigate this bias and an expectation-maximization algorithm is developed. An application to data from a registry of patients with psoriatic arthritis is given for illustration.

PMID:35725841 | DOI:10.1007/s10985-022-09561-9

Anal Bioanal Chem. 2022 Jun 20. doi: 10.1007/s00216-022-04158-5. Online ahead of print.

ABSTRACT

A comprehensive metabolomic strategy, integrating ¹H NMR and MS-based multi-block modelling in conjunction with multi-informational molecular networking, has been developed to discriminate sponges of the order Haplosclerida, well known for being taxonomically contentious. An in-house collection of 33 marine sponge samples belonging to three families (Callyspongiidae, Chalinidae, Petrosiidae) and four different genera (Callyspongia, Haliclona, Petrosia, Xestospongia) was investigated using LC-MS/MS, molecular networking, and the annotations processes combined with NMR data and multivariate statistical modelling. The combination of MS and NMR data into supervised multivariate models led to the discrimination of, out of the four genera, three groups based on the presence of metabolites, not necessarily previously described in the Haplosclerida order. Although these metabolomic methods have already been applied separately, it is the first time that a multi-block untargeted approach using MS and NMR has been combined with molecular networking and statistically analyzed, pointing out the pros and cons of this strategy.

PMID:35725831 | DOI:10.1007/s00216-022-04158-5

Clin Breast Cancer. 2022 May 23:S1526-8209(22)00112-4. doi: 10.1016/j.clbc.2022.05.007. Online ahead of print.

ABSTRACT

BACKGROUND: Complex interactions between cancer and the immune system have an impact on disease progression and therapeutic response. Our objective was to evaluate whether circulating immune-related determinants are associated with pathological complete response (pCR) in patients with locally advanced breast cancer (LABC) subjected to neoadjuvant chemotherapy (NACT).

PATIENTS AND METHODS: Luminex technology was used to profile 22 cytokines, 10 chemokines, FGF2, PDGF-BB, VEGF, and Ca15-3/Ca125 glycoforms. Measurements were performed alongside standard hematological determinations on pretreatment plasma samples from 151 patients including 41 cases with pCR assessed following RECIST criteria.

RESULTS: Random Forest model analysis selected platelets, eotaxin, IFN-γ, IP10, and TGFβ2 as significant predictors of pCR. These immune-related features were combined into a quantitative score predictive of pCR. In patients who scored 0 or 1, none had pCR; the pCR frequency increased in relation to the score value (23.5%, 41.2%, and 78.6%, in score groups 2, 3, and 4, respectively). At multivariable logistic analysis, the pCR score was highly significant (odds ratio = 3.15 per unit increment; CI: 1.85-5.38; P < .0001); among clinical covariates (age, menopausal status, tumor stage, IHC subtype, Ki-67, CA15.3, and CA125), only Ki-67 was statistically significant (P = .013).

CONCLUSION: This explorative study aimed to lay the conceptual and practical foundation that a distinctive pattern of the immune determinant blood signature at diagnosis of LABC significantly correlates with the patient’s response to NACT and provides the groundwork for larger studies that could lead to a minimally invasive tool for personalized medicine.

PMID:35725806 | DOI:10.1016/j.clbc.2022.05.007

Clin Breast Cancer. 2022 May 20:S1526-8209(22)00095-7. doi: 10.1016/j.clbc.2022.05.005. Online ahead of print.

ABSTRACT

BACKGROUND: Women with extensive mammographic density (MD) are more likely to develop breast cancer than women with low MD because of a high epithelial component associated with a high proportion of stromal cells. To elucidate the biological association between high MD and risk of breast cancer, we compared the expression of a panel of genes coding for leptin, adiponectin, and some component of cell polarity and adherens junction complexes in dense and non-dense breast tissue.

METHODS: We interrogated a public dataset composed by 120 specimens of normal breast tissue with MD evaluation. The differential expression of the selected genes in the 2 MD subgroups was assessed by the Wilcoxon test, whereas Kruskal-Wallis test evaluated the differential expression of single genes in the fatty, epithelium, or nonfatty compartment. Spearman’s correlation measured the relationship among genes in the subset with the highest epithelium proportion.

RESULTS: In high MD, the expression level of PARD6B, CRB3, PATJ, LLGL2, CDH1, and MARVELD2 significantly lowered in tissues with the highest epithelium proportion, whereas, in low MD, the expression level of the genes increased with the increasing of the epithelium proportion. In the low MD subgroup, LEP correlated negatively with PRKCZ and DLG3, whereas, in high MD, such correlation was not observed.

CONCLUSIONS: The expression of the genes governing cell polarity establishment and cell-cell adhesion assembly differed significantly in the epithelial component of dense and non-dense breasts. The correlation pattern between LEP and PRKCZ or DLG3 agrees with the role of leptin in cell polarity disruption.

PMID:35725805 | DOI:10.1016/j.clbc.2022.05.005

J Tissue Viability. 2022 Jun 15:S0965-206X(22)00060-2. doi: 10.1016/j.jtv.2022.06.003. Online ahead of print.

ABSTRACT

BACKGROUND: COVID-19 significantly influences the overall patient status and, in severe symptomatology, the ability to move and the low oxygenation of the tissue for the ventilated patient in Intensive Care Units (ICU). There is a higher risk for Pressure injuries (PIs) development.

OBJECTIVES: The nationwide analyses of the National health register aimed to compare the prevalence of PIs reported before the pandemic COVID-19 started and during the pandemic in 2020.

METHOD: A retrospective, nationwide cross-sectional analysis of data regarding the STROBE checklist collected by the National Health Information System (NHIS), focusing on the PIs reporting based on the International Classification of Diseases (ICD-10) diagnoses L89.0-L89.9 for PIs in 2020. The data from the pandemic period of COVID-19 in 2020 were compared to the prevalence of PI cases in the period 2010-2019 in the Czech Republic in all hospitalized patients.

RESULTS: The total number of admissions for L89 in 2020 was 14,441, of which 1509 (10.4%) also had COVID-19. In the ICU were 4386 admissions, 12.1% of which also had COVID-19. A higher proportion of PIs is observed in patients hospitalized with COVID-19 than in patients without COVID-19 (2.62% vs 0.81%, respectively 1.05% vs 0.46% when standardized to the 2013 ESP = European Standard Population). In patients hospitalized in ICU, 3.68% with COVID-19 had PIs vs 1.42% without COVID-19 had PIs (1.97% vs 0.81% using the 2013 ESP).

CONCLUSION: The national health registers analyses have proven that the prevalence of PIs was higher among patients hospitalized with the SARS-CoV-2 infection.

PMID:35725785 | DOI:10.1016/j.jtv.2022.06.003

Sci Rep. 2022 Jun 20;12(1):10362. doi: 10.1038/s41598-022-14190-1.

ABSTRACT

The purpose of this study is to evaluate whether thin-slice high-resolution 2D fat-suppressed proton density-weighted image of the knee joint using denoising approach with deep learning-based reconstruction (dDLR) with MPR is more useful than 3D FS-PD multi planar voxel image. Twelve patients who underwent MRI of the knee at 3T and 13 knees were enrolled. Denoising effect was quantitatively evaluated by comparing the coefficient of variation (CV) before and after dDLR. For the qualitative assessment, two radiologists evaluated image quality, artifacts, anatomical structures, and abnormal findings using a 5-point Likert scale between 2D and 3D. All of them were statistically analyzed. Gwet’s agreement coefficients were also calculated. For the scores of abnormal findings, we calculated the percentages of the cases with agreement with high confidence. The CV after dDLR was significantly lower than the one before dDLR (p < 0.05). As for image quality, artifacts and anatomical structure, no significant differences were found except for flow artifact (p < 0.05). The agreement was significantly higher in 2D than in 3D in abnormal findings (p < 0.05). In abnormal findings, the percentage with high confidence was higher in 2D than in 3D (p < 0.05). By applying dDLR to 2D, almost equivalent image quality to 3D could be obtained. Furthermore, abnormal findings could be depicted with greater confidence and consistency, indicating that 2D with dDLR can be a promising imaging method for the knee joint disease evaluation.

PMID:35725760 | DOI:10.1038/s41598-022-14190-1