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Nevin Manimala Statistics

The prevalence of inherited metabolic disorders in Estonian population over 30 years: A significant increase during study period

JIMD Rep. 2022 Aug 24;63(6):604-613. doi: 10.1002/jmd2.12325. eCollection 2022 Nov.

ABSTRACT

Inherited metabolic disorders (IMD) are a group of hereditary diseases wherein the impairment of a biochemical pathway is intrinsic to the pathophysiology of the disease. Estonia’s small population and nationwide digitalised healthcare system make it possible to perform an epidemiological study that covers the whole population. A study was performed in Tartu University Hospital, which is the only tertiary care unit in Estonia for diagnosing patients with IMD, to define the prevalence and live birth prevalence of IMDs and the effectiveness of new diagnostic methods on the diagnosis of IMD. During the retrospective study period from 1990 to 2017, 333 patients were diagnosed with IMD. Statistical analysis showed a significant increase in IMD diagnoses per year from 0.47 to 2.51 cases per 100 000 persons (p < 0.0001) during the study period. Live birth prevalence of IMD in Estonia was calculated to be 41.52 cases per 100 000 live births. The most frequently diagnosed IMD groups were disorders of amino acid metabolism, disorders of complex molecule degradation, mitochondrial disorders, and disorders of tetrapyrrole metabolism. Phenylketonuria was the most frequently diagnosed disorder of all IMD (21.6%). Our results correlated well with data from other developed countries and, along with high birth prevalence, add confidence in the effectiveness of our diagnostic yield. Implementation of new diagnostic methods during study period may largely account for the significant increase in the number of IMD diagnoses per year. We conclude that the implementation of new diagnostic methods continues to be important and contributes to better diagnosis of rare diseases.

PMID:36341167 | PMC:PMC9626666 | DOI:10.1002/jmd2.12325

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Nevin Manimala Statistics

Perihelion Precessions of Inner Planets in Einstein’s Theory and Predicted Values for the Cosmological Constant

ScientificWorldJournal. 2022 Oct 28;2022:4808065. doi: 10.1155/2022/4808065. eCollection 2022.

ABSTRACT

In this paper, we obtain the approximate value of 42.9815 arcsec/century for Mercury’s perihelion precession by solving both numerically and analytically the nonlinear ordinary differential equation derived from the geodesic equation in Einstein’s Theory of Relativity. We also compare our result with known results, and we illustrate graphically the way Mercury’s perihelion moves. The results we obtained are applicable to any body that moves around the Sun. We give predictions about the value of the Cosmological Constant. Simple algebraic formulas allow to estimate perihelion shifts with high accuracy.

PMID:36341161 | PMC:PMC9635960 | DOI:10.1155/2022/4808065

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Nevin Manimala Statistics

Comparison of Mental Health Visits at a Military Treatment Facility Emergency Department Pre- and Post-COVID-19 Pandemic

Mil Med. 2022 Nov 5:usac328. doi: 10.1093/milmed/usac328. Online ahead of print.

ABSTRACT

INTRODUCTION: There is a paucity of quantitative research regarding the effect of coronavirus 2019 (COVID-19) on Emergency Department (ED) visits in the United States, and specifically mental health-related ED visits. The small existing body of research describes an overall decline in ED visits worldwide; however, there are anecdotal reports that psychiatric complaints to the ED have increased during the pandemic. The primary objective of this study was to describe the volume of mental health ED visits at a single ED during the COVID-19 pandemic compared to previous years.

MATERIALS AND METHODS: This was a single-center, retrospective chart review of adult patients evaluated in the ED at an academic military medical facility from March to December of 2017-2020 for mental health. The electronic medical record was queried for mental health International Classification of Diseases, 10th Revision diagnosis codes. Demographic data including age, gender, disposition, diagnosis, and beneficiary status were collected, and Pearson Chi-Square was used to assess for statistical significance between years.

RESULTS: There was a total of 1,486 mental health ED visits from March to December 2020, compared to an average of 1,668 visits from March to December 2017-2019. Statistically significant (P < 0.05) differences, between 2020 and the prior 3 years combined, were identified in the categories of age, disposition, beneficiary status, and diagnosis. In 2020, there was a lower proportion of visits for patients aged ≥60 (1.2%) than in 2017-2019 (2.5%). Active-duty patients comprised a higher proportion of mental health visits in 2020 (82.4%) versus 2017-2019 (77%). Proportionately fewer patients were admitted in 2020 (25.2%) versus 2017-2019 (29.2%). Adjustment disorders made up 19.0% of visits in 2020 versus 23.2% in 2017-2019, and suicidal ideation and intentional self-inflicted injury comprised 43.3% in 2020 compared with 40.4% in 2017-2019.

CONCLUSION: There was a significant decline in ED visits for patients over the age of 60 but a significant increase in visits for active-duty patients. Fewer patients were admitted compared to previous years. There was a significant increase in patients diagnosed with suicidal ideation and intentional self-inflicted injury in 2020 compared to previous years. Alarmingly, this study shows increased rates of self-harm and suicidal ideation. Further study is needed to determine why these effects were seen and if there is a higher risk for suicide attempt or completion in these populations. These results indicate that military leadership and the military health system is failing to adequately support and protect service members and their families during these uniquely stressful times. High-level attention to this issue by military leadership is required; the readiness and safety of the nation’s fighting force is at stake.

PMID:36336793 | DOI:10.1093/milmed/usac328

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Nevin Manimala Statistics

NMR chiral recognition of lipoic acid by cinchonidine CSA: A stereocenter beyond the organic function

Chirality. 2022 Nov 6. doi: 10.1002/chir.23514. Online ahead of print.

ABSTRACT

Alpha-lipoic acid is a natural product that possesses distinct pharmacological properties. Lipoic acid is a short-chain fatty acid containing an asymmetric carbon at five bonds of distance to the organic function. Herein, we developed a nuclear magnetic resonance protocol to access the chiral recognition of lipoic acid in a simple and rapid procedure employing cinchonidine as a cheap chiral solvation agent in deuterated chloroform. To optimize this method, a statistical design of the experimental model was performed to produce a clear understanding of the optimal concentration, temperature, and molar ratio parameters. Based on the obtained spectra, the cinchonidine H8 -H9 scalar coupling indicated a conformational preference in the chiral discrimination procedure. Density functional theory calculations established a proximity between the asymmetric center of lipoic acid and the aromatic moiety of cinchonidine, clarifying possible conformations in this ion-pair interaction. The described protocol demonstrates how far is far enough to chiral discrimination using a chiral solvation agent, expanding the method to compounds that contain a remote stereocenter.

PMID:36336792 | DOI:10.1002/chir.23514

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Nevin Manimala Statistics

Health Economic Evaluation Using Markov Models in R for Microsoft Excel Users: A Tutorial

Pharmacoeconomics. 2022 Nov 7. doi: 10.1007/s40273-022-01199-7. Online ahead of print.

ABSTRACT

A health economic evaluation (HEE) is a comparative analysis of alternative courses of action in terms of both costs and consequences. A cost-effectiveness analysis is a type of HEE that compares an intervention to one or more alternatives by estimating how much it costs to gain an additional unit of health outcome. Cost-effectiveness analyses are commonly performed using Microsoft (MS) Excel. However, there is current interest in using other software that is better suited to more complex problems, methods, and data, as well as improved reproducibility and transparency. That is, it is increasingly important to be able to repeat an analysis of a particular data set and obtain the same results, and access the analysis and results in a clear and comprehensive openly available form. In this tutorial we provide a step-by-step guide on how to implement a mainstay model of HEE, namely a Markov model, in the statistical programming language R. The adoption of R for the purpose of cost-effectiveness analysis is highly dependent on the ability of the health economic modeller to understand, learn, and apply programming-type skills. R is likely to be less familiar than MS Excel for many modellers and so coding a cost-effectiveness model in R can be a large jump. We describe the technical details from the perspective of a MS Excel user to help bridge the gap between software and reduce the learning curve by providing for the first-time side-by-side comparisons of the Markov model example in MS Excel and R.

PMID:36336774 | DOI:10.1007/s40273-022-01199-7

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Nevin Manimala Statistics

Monitoring of continuous subcutaneous insulin infusion treatment in Portugal and its implications for diabetes management

Hormones (Athens). 2022 Nov 7. doi: 10.1007/s42000-022-00412-8. Online ahead of print.

ABSTRACT

AIMS/HYPOTHESIS: Intensive insulin therapy in the treatment of type 1 diabetes can, in place of multiple daily injections of subcutaneous insulin (MDI), be performed with continuous subcutaneous insulin infusion (CSII) systems. This method allows for better glycemic control and thus reduces the risk of complications of the disease. The aim of this study was to evaluate the results of treatment with CSII in Portugal.

METHODS: A retrospective analysis of the records on the national CSII platform was carried out between January 2010 and August 2021. All the registered patients are followed in certified CSII treatment centers in Portugal. Of the 7135 registered patients, 3807 were excluded due to absence of monitoring data. The reasons for treatment were analyzed and a comparison was made between patients with and without CSII. The statistical significance considered was α < 0.05.

RESULTS: A total of 3328 patients were included in the study, 1136 under MDI and 2192 under CSII. The main reasons for CSII use were marked glycemic variability (25%) and HbA1c greater than 7% (23%). Patients under CSII had a lower HbA1c (7.7 ± 1.0% vs. 8.0 ± 1.5%, p < 0.001), as well as a lower frequency of episodes of severe hypoglycemia (1.4 vs. 3.3 per 100 patient-years, p < 0.001), and ketoacidosis (1 vs. 2.4 per 100 patient-years, p < 0.001).

CONCLUSIONS: The present analysis validates the advantage of using CSII in metabolic control and reduction of acute complications of type 1 diabetes, both severe hypoglycemia and ketoacidosis, in the Portuguese population. CSII therapy is classically associated with an increased risk of ketoacidosis; however, in experienced centers and adequate patient education, the opposite is found.

PMID:36336764 | DOI:10.1007/s42000-022-00412-8

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Nevin Manimala Statistics

Evaluation of the Grow Your Groceries Home Gardening Program in Chicago, Illinois

J Community Health. 2022 Nov 6. doi: 10.1007/s10900-022-01152-x. Online ahead of print.

ABSTRACT

COVID-19 exacerbated existing disparities in food security in Chicago. Home gardening can improve food security but there are often barriers to participation and the benefits are understudied. Chicago Grows Food (CGF) formed in 2020 to address food insecurity during COVID-19, and created the Grow Your Groceries (GYG) program to provide home gardening kits to families at risk of food insecurity in Chicago. A participatory program evaluation was conducted to better understand the experiences of and benefits to individuals participating in GYG. Program participants shared feedback via focus groups (n = 6) and surveys (n = 72). Qualitative data were analyzed using an iterative coding process. Quantitative data were analyzed using descriptive statistics. Most participants reported confidence in using a grow kit to grow food, increased healthy food consumption, easier access to healthy food, and high likelihood of growing food again. Additionally, participants described increased connections within their communities, increased interaction with their family, and personal growth as benefits of the program. These results demonstrate the benefits of a novel home gardening program that uses fabric grow bags to address food insecurity. A larger scale program evaluation is necessary to better understand the impacts of participating in this home gardening program.

PMID:36336753 | DOI:10.1007/s10900-022-01152-x

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Nevin Manimala Statistics

Craniofacial and three-dimensional palatal analysis in cleft lip and palate patients treated in Spain

Sci Rep. 2022 Nov 6;12(1):18837. doi: 10.1038/s41598-022-23584-0.

ABSTRACT

Growth alterations have been described in patients operated on for oral clefts. The purpose of this work was to analyze the craniofacial and palate morphology and dimensions of young adults operated on for oral clefts in early childhood in Spain. Eighty-three patients from eight different hospitals were divided into four groups based on their type of cleft: cleft lip (CL, n = 6), unilateral cleft lip and palate (UCLP, n = 37), bilateral cleft lip and palate (BCLP, n = 16), and cleft palate only (CPO, n = 24). A control group was formed of 71 individuals. Three-dimensional (3D) digital models were obtained from all groups with an intraoral scanner, together with cephalometries and frontal, lateral, and submental facial photographs. Measurements were obtained and analyzed statistically. Our results showed craniofacial alterations in the BCLP, UCLP, and CPO groups with an influence on the palate, maxilla, and mandible and a direct impact on facial appearance. This effect was more severe in the BCLP group. Measurements in the CL group were similar to those in the control group. Cleft characteristics and cleft type seem to be the main determining factors of long-term craniofacial growth alterations in these patients. Prospective research is needed to clearly delineate the effects of different treatments on the craniofacial appearance of adult cleft patients.

PMID:36336749 | DOI:10.1038/s41598-022-23584-0

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Targeted maximum likelihood estimation for causal inference in survival and competing risks analysis

Lifetime Data Anal. 2022 Nov 7. doi: 10.1007/s10985-022-09576-2. Online ahead of print.

ABSTRACT

Targeted maximum likelihood estimation (TMLE) provides a general methodology for estimation of causal parameters in presence of high-dimensional nuisance parameters. Generally, TMLE consists of a two-step procedure that combines data-adaptive nuisance parameter estimation with semiparametric efficiency and rigorous statistical inference obtained via a targeted update step. In this paper, we demonstrate the practical applicability of TMLE based causal inference in survival and competing risks settings where event times are not confined to take place on a discrete and finite grid. We focus on estimation of causal effects of time-fixed treatment decisions on survival and absolute risk probabilities, considering different univariate and multidimensional parameters. Besides providing a general guidance to using TMLE for survival and competing risks analysis, we further describe how the previous work can be extended with the use of loss-based cross-validated estimation, also known as super learning, of the conditional hazards. We illustrate the usage of the considered methods using publicly available data from a trial on adjuvant chemotherapy for colon cancer. R software code to implement all considered algorithms and to reproduce all analyses is available in an accompanying online appendix on Github.

PMID:36336732 | DOI:10.1007/s10985-022-09576-2

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Nevin Manimala Statistics

African American Patients Experience Worse Outcomes than Hispanic Patients Following Bariatric Surgery: an Analysis Using the MBSAQIP Data Registry

Obes Surg. 2022 Nov 7. doi: 10.1007/s11695-022-06333-0. Online ahead of print.

ABSTRACT

BACKGROUND: Obesity rates in Hispanics and African Americans (AAs) are higher than in Caucasians in the USA, yet the rate of metabolic and bariatric surgery (MBS) for weight loss remains lower for both Hispanics and AAs.

METHODS: Patient demographics and outcomes of adult AA and Hispanic patients undergoing sleeve gastrectomy (SG) or Roux-en-Y gastric bypass (RYGB) procedures were analyzed using the MBSAQIP dataset [2015-2018] using unmatched and propensity-matched data.

RESULTS: In total, 173,157 patients were included, of whom 98,185 were AA [56.7%] [21,163-RYGB; 77,022-SG] and 74,972 were Hispanic [43.3%] [20,282-RYGB; 54,690-SG]). Preoperatively, the AA cohort was older, had more females, and higher BMIs with higher rates of all tracked obesity-related medical conditions except for diabetes, venous stasis, and prior foregut surgery. Intra- and postoperatively, AAs were more likely to experience major complications including unplanned ICU admission, 30-day readmission/reintervention, and mortality. After propensity matching, the differences in ED visits, treatment for dehydration, 30-day readmission, 30-day intervention, and pulmonary embolism remained for both SG and RYGB cohorts. Progressive renal insufficiency and ventilator use lost statistical significance in both cohorts. Conversely, 30-day reoperation, postoperative ventilator requirement, unplanned intubation, unplanned ICU admission, and mortality lost significance in the RYGB cohort, but not SG patients.

CONCLUSION: Outcomes for AA patients were worse than for Hispanic patients, even after propensity matching. After matching, differences in major complications and mortality lost significance for RYGB, but not SG. These data suggest that outcomes for RYGB may be driven by the presence and severity of pre-existing patient-related factors.

PMID:36336721 | DOI:10.1007/s11695-022-06333-0