Tag: nevin manimala

Eur Geriatr Med. 2021 Jun 4. doi: 10.1007/s41999-021-00508-1. Online ahead of print.

ABSTRACT

PURPOSE OF THE STUDY: We explored potential predictive variables associated with outcomes using baseline clinical parameters of 500 hospitalised patients with COVID -19 in a single centre, UK.

METHODS: Retrospective study collecting demographic and clinical characteristics of patients admitted at Southend University Hospital from 20th February to 7th May 2020.

RESULTS: The mean age of the cohort admitted to hospital with Covid-19 was 69.4 and 58% were over 70. Comorbidities were more frequently observed in non-survivors, whose mean Clinical Frailty Scale was significantly higher (5 vs 3) than survivors, p < 0.001. In addition, mean C-reactive protein was significantly higher.

CONCLUSION: Older and frailer patients with high inflammatory markers were at risk of poor outcomes. Integrated frailty and age-based risk stratification is essential, in addition to monitoring saturation /FiO2 ratio (SFR) and inflammatory markers throughout the disease course to allow for early intervention to improve patient outcomes. A frailty-based risk-stratification approach, rather than age may prove more valuable when considering interventions in patients with multiple comorbidities.

PMID:34086193 | DOI:10.1007/s41999-021-00508-1

Eur Arch Paediatr Dent. 2021 Jun 4. doi: 10.1007/s40368-021-00624-3. Online ahead of print.

ABSTRACT

PURPOSE: The aim of this retrospective study is to determine children’s attendance and experience of preventative interventions and operative treatment (restorations and extractions) with their primary care dentist (PCD) in the 12 months before and after their caries management under dental general anaesthetic (DGA).

METHODS: A record of all children who had an elective DGA in 2016 across two hospital sites was retrospectively obtained (n = 1308). A representative sample of 300 was randomly selected encompassing 114 dental practices. An online questionnaire to the children’s PCDs collated quantitative and qualitative data regarding participation in the pre- and post-DGA period.

RESULTS: Data was collated and analysed for 80 children (mean age: 6 years 10 months [SD = 2.49; range: 2 years 1 month – 14 years 3 months]; equal sex distribution) with 43 responding PCDs. Attendance for examination declined significantly from 85% (n = 68) pre-DGA to 57.5% (n = 46) post-DGA (p ≤ 0.001). Attendance at emergency appointments pre-DGA was high (33.75% [n = 27]); a significant reduction post-DGA was recorded (p ≤ 0.001). Over one third of children (37.5% [n = 30]) did not receive any form of preventative intervention over 24 months. A non-significant reduction in the provision of operative treatment was observed post-DGA (p = 0.06 [fill, primary]; p = 0.78 [fill, permanent]; p = 0.66 [ext, primary]). No statistical difference between age and treatment experience was found. Qualitative analysis revealed challenges in providing care included behavioural difficulties and poor attendance.

CONCLUSION: Improvements are required in strategies employed to support high caries risk children pre- and post-DGA to facilitate a higher incidence of attendance and preventative intervention with PCDs.

PMID:34086195 | DOI:10.1007/s40368-021-00624-3

Curr Environ Health Rep. 2021 Jun 4. doi: 10.1007/s40572-021-00310-y. Online ahead of print.

ABSTRACT

PURPOSE OF REVIEW: Epidemiological studies of short- and long-term health impacts of ambient air pollutants require accurate exposure estimates. We describe the evolution in exposure assessment and assignment in air pollution epidemiology, with a focus on spatiotemporal techniques first developed to meet the needs of the Multi-ethnic Study of Atherosclerosis and Air Pollution (MESA Air). Initially designed to capture the substantial variation in pollutant levels and potential health impacts that can occur over small spatial and temporal scales in metropolitan areas, these methods have now matured to permit fine-scale exposure characterization across the contiguous USA and can be used for understanding long- and short-term health effects of exposure across the lifespan. For context, we highlight how the MESA Air models compare to other available exposure models.

RECENT FINDINGS: Newer model-based exposure assessment techniques provide predictions of pollutant concentrations with fine spatial and temporal resolution. These validated models can predict concentrations of several pollutants, including particulate matter less than 2.5 μm in diameter (PM_2.5), oxides of nitrogen, and ozone, at specific locations (such as at residential addresses) over short time intervals (such as 2 weeks) across the contiguous USA between 1980 and the present. Advances in statistical methods, incorporation of supplemental pollutant monitoring campaigns, improved geographic information systems, and integration of more complete satellite and chemical transport model outputs have contributed to the increasing validity and refined spatiotemporal spans of available models. Modern models for predicting levels of outdoor concentrations of air pollutants can explain a substantial amount of the spatiotemporal variation in observations and are being used to provide critical insights into effects of air pollutants on the prevalence, incidence, progression, and prognosis of diseases across the lifespan. Additional enhancements in model inputs and model design, such as incorporation of better traffic data, novel monitoring platforms, and deployment of machine learning techniques, will allow even further improvements in the performance of pollutant prediction models.

PMID:34086258 | DOI:10.1007/s40572-021-00310-y

Environ Sci Pollut Res Int. 2021 Jun 4. doi: 10.1007/s11356-021-14717-5. Online ahead of print.

ABSTRACT

The aim of this study was to determine the association between the concentrations of intradomiciliary PM_2.5, CO, and BC and alterations in respiratory function parameters in a population living in rural dwellings in Bogotá, Colombia. For this cross-sectional study, people were recruited from the rural areas of the localities of Usme and Sumapaz in Bogotá. In total, 68 participants were recruited by means of nonrandom sampling. Indoor air monitoring of PM_2.5, BC, and CO was carried out. Additionally, evaluations of pulmonary function were performed using spirometry. The variables of pulmonary function were included in a multiple linear regression by successive steps and adjusted by the main variables described as modifiers of spirometry parameters, which are age, height, sex, disability, and a history of tobacco use. Assumptions of multicollinearity and the randomization of variances in the residuals were evaluated. Negative associations were found between spirometry parameters and the concentrations of indoor air pollutants. For FEV1/FVC and theoretical FEV1, there was a statistically significant association with the concentration of carbon monoxide (p = 0.003 and 0.019, respectively). The environmental concentrations were higher in homes where biomass was used for cooking, but these differences were statistically significant only for BC and CO (p = 0.008 and 0.03, respectively). The concentrations of carbon monoxide in rural homes were associated with alterations in respiratory function parameters.

PMID:34086176 | DOI:10.1007/s11356-021-14717-5

Environ Geochem Health. 2021 Jun 4. doi: 10.1007/s10653-021-00992-1. Online ahead of print.

ABSTRACT

The Qinghai-Tibet Plateau is one of the most fragile and susceptible areas to climate change and human disturbances in the world. Here, a total of 48 soil samples were obtained from areas of different land uses within a typical basin in eastern Qinghai-Tibet, China. The selected potentially toxic elements (PTEs, including Cd, Cr, Cu, Pb, and Zn) contents were analyzed to explore their spatial patterns, ecological risks, and then the effects of land use types on these elements were assessed by self-organizing map (SOM) and random forest regression (RFR) models, and the main sources were revealed using positive matrix factorization (PMF) model. Results showed that mean concentrations of selected PTEs in surface soils were higher than local background values and those of subsurface soils. The low-degree ecological risk was obtained with comparatively high risks in the north and south of the study area. The results of the SOM and RFR models revealed that land use types affected the redistribution of PTEs in surface soil. The PMF model demonstrated that these PTEs were mainly derived from natural sources (46.7%), traffic emissions (31.2%), and industrial and agricultural inputs (22.1%). Natural sources were the essential contributors for these soil PTEs, especially for Cr. In addition to natural sources, traffic sources made great contributions for Cd, Pb, and Zn elements, while the enrichment of Cu was mainly related to industrial and agricultural activities.

PMID:34086188 | DOI:10.1007/s10653-021-00992-1

Jpn J Radiol. 2021 Jun 4. doi: 10.1007/s11604-021-01146-0. Online ahead of print.

NO ABSTRACT

PMID:34086157 | DOI:10.1007/s11604-021-01146-0

Dig Dis Sci. 2021 Jun 4. doi: 10.1007/s10620-021-07066-3. Online ahead of print.

ABSTRACT

BACKGROUND: Patients with chronic pancreatitis (CP) are at a higher risk of developing pancreatic adenocarcinoma compared the general population with an estimated 5% risk of developing pancreatic cancer in 20 years. Endoscopic ultrasound fine needle aspiration (EUS-FNA) of solid pancreatic lesions (SPL) has an excellent sensitivity (85-90%) and specificity (98-100%) for diagnosing pancreatic malignancy. However, data on the performance characteristics of EUS-FNA in CP are mixed.

AIMS: In this systematic review and meta-analysis, we aim to examine data from published studies on the diagnostic performance of EUS-FNA in detecting pancreatic malignancy in CP.

METHODS: We conducted a comprehensive search of MEDLINE, Cochrane, EMBASE, Scopus databases for studies published in English language that reported performance characteristics of EUS-FNA for SPL up to November 2020. Two reviewers independently conducted screening, full text review and data extraction according to the PRISMA guidelines. Quality of included studies was assessed using the risk of bias in non-randomized studies of interventions (ROBINS-I) tool. The parameters of interest were sensitivity, specificity, negative, and positive likelihood ratios. Cochran Q test and I statistics were used to determine the between-study heterogeneity. Funnel plots were used to describe publication bias.

RESULTS: A total of 6753 studies were identified on initial search. Studies that reported EUS-FNA of cystic pancreas lesions were excluded. Eight studies met the inclusion criteria. Seven studies were retrospective, and one was prospective. A total of 593 patients with CP underwent EUS-FNA for SPL. The pooled sensitivity of EUS-FNA was 65% (95% CI 52.6-75.6%, I² = 44%), specificity was 96.8% (75-99.7%, I² = 89%), negative likelihood ratio (NLR) 41.4 (11.1-149.6, I² = 70%), positive likelihood ratio (PLR) 24.1 (2.8-208, I² = 90%). The pooled data from seven studies that compared 901 non-CP vs. 127 CP showed that the sensitivity of EUS-FNA in diagnosing pancreatic malignancy was 91.5 vs. 65.3% [OR (95% CI) 5.5 (2.9-10.2), I²: 31.8%]. The specificity pooled from six studies [333 non-CP vs. 357 CP] was 95.9% vs. 82.4%, [OR (95% CI) 1.3 (0.2-9.8), I² = 73%]. The risk of bias was serious in one study, low in four studies and moderate in three studies.

CONCLUSION: This pooled meta-analysis shows a low sensitivity of EUS-FNA in diagnosing malignancy in CP patients with SPL in comparison to patients without CP. Modalities such as EUS-fine needle biopsy have high sensitivity and specificity for diagnosing pancreatic cancer and should be considered in patients with CP and suspected pancreatic malignancy.

PMID:34086166 | DOI:10.1007/s10620-021-07066-3

Osteoporos Int. 2021 Jun 4. doi: 10.1007/s00198-021-05989-1. Online ahead of print.

ABSTRACT

In the Diabetes Prevention Program Outcome Study (DPPOS), a cohort at high risk of diabetes, randomization to intensive lifestyle intervention or metformin, both associated with weight loss, did not have long-term negative effects on BMD compared with the placebo group. Potential positive effects of metformin on bone warrant further investigation.

INTRODUCTION: Randomization to lifestyle intervention (ILS) or metformin in the Diabetes Prevention Program (DPP) resulted in weight loss and reduced progression to diabetes. Weight loss is associated with reduced bone mineral density (BMD), but the long-term effects of these interventions on BMD are unknown. In the DPP Outcome Study (DPPOS), we determined if randomization to ILS or metformin, compared with placebo, was associated with differences in BMD approximately 16 years later.

METHODS: Of 3234 DPP participants, 2779 continued in DPPOS and were offered ILS in group format. Those randomized to metformin were offered unmasked metformin. At DPPOS year 12, 1367 participants had dual-energy X-ray absorptiometry scans. BMD in metformin and ILS groups was compared to placebo using sex-specific linear regression models, adjusted for age, race/ethnicity, and weight and weight-bearing activity at DPP baseline.

RESULTS: At DPPOS year 12, mean age was 66.5 (±9.5) years. Femoral neck BMD was similar in the ILS and placebo groups in men (difference = -0.021 g/cm², 95%CI (-0.063, 0.021)) and in women (+0.014 g/cm², 95%CI (-0.014, 0.042)). Femoral neck BMD was higher in the metformin compared to placebo group although not statistically different in men (+0.017 g/cm², 95% CI (-0.023, 0.058)) and in women (+0.019 g/cm², 95% CI (-0.009, 0.047)). Prevalence of osteoporosis was low and similar across treatment groups in men (0.9%; p=0.745) and women (2.4%; p=0.466).

CONCLUSION: In a cohort at high risk of diabetes, lifestyle intervention or metformin did not appear to have long-term negative effects on BMD. Potential positive effects of metformin on bone warrant further research.

PMID:34086101 | DOI:10.1007/s00198-021-05989-1

Eur J Clin Microbiol Infect Dis. 2021 Jun 4. doi: 10.1007/s10096-021-04282-7. Online ahead of print.

ABSTRACT

We conducted a meta-analysis of published data to update and estimate the prevalence of HPV in ovarian cancer. A comprehensive literature search was performed according to the PRISMA guidelines. Eligible articles published from 1989 until 2020 by searching Web of Sciences, Pubmed, Embase, and the Cochrane Library Central databases were gathered. A pooled estimation of HPV prevalence with a 95% confidence interval (CI) was calculated based on a random effect model. Quantitative assessment of heterogeneity was explored using Cochrane test and I². Additionally, publication bias, sensitivity, meta-regression, and subgroup analyses were also performed. Twenty-nine studies involving 2280 patients with ovarian cancer were included. The statistical heterogeneity was high (I² = 88%, P<0.0001). The pooled prevalence of HPV in ovarian cancer cases was 15.9% (95% CI, 11-22). In subgroup analyses, the highest prevalence of HPV was reported by studies from Asia (30.9%; 95% CI, 20-44) and Eastern Europe (29.3%; 95% CI, 4.4-78). Furthermore, the most frequently detected HPV genotype was HPV16 (54%; 95% CI, 27.9-55), followed by HPV18 (23.2%; 95% CI, 18.8-28.2). Our meta-analysis suggests a great difference in the prevalence of HPV detected in ovarian cancer by different studies, which is not seen in strongly HPV-associated cancers such as cervical cancer. However, the prevalence varied markedly by geographic region. Considering the substantial heterogeneity found, more studies with control groups and precise assays measuring HPV mRNA expression are needed to further evaluate the link and causative aetiology between HPV and ovarian cancer.

PMID:34086102 | DOI:10.1007/s10096-021-04282-7

Ecohealth. 2021 Jun 4. doi: 10.1007/s10393-021-01524-0. Online ahead of print.

ABSTRACT

The scientific community has come together in a mass mobilization to combat the public health risks of COVID-19, including efforts to develop a vaccine. However, the success of any vaccine depends on the share of the population that gets vaccinated. We designed a survey experiment in which a nationally representative sample of 3,133 adults in the USA stated their intentions to vaccinate themselves and their children for COVID-19. The factors that we varied across treatments were: the stated severity and infectiousness of COVID-19 and the stated source of the risk information (White House or the Centers for Disease Control). We find that 20% of people in the USA intend to decline the vaccine. We find no statistically significant effect on vaccine intentions from the severity of COVID-19. In contrast, we find that the degree of infectiousness of the coronavirus influences vaccine intentions and that inconsistent risk messages from public health experts and elected officials may reduce vaccine uptake. However, the most important determinants of COVID-19 vaccine hesitancy seem to be distrust of the vaccine safety (including uncertainty due to vaccine novelty), as well as general vaccine avoidance, as implied by not having had a flu shot in the last two years.

PMID:34086129 | DOI:10.1007/s10393-021-01524-0