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Nevin Manimala Statistics

Application of reverse engineering in the field of pharmaceutical tablets using Raman mapping and chemometrics

J Pharm Biomed Anal. 2021 Nov 28;209:114496. doi: 10.1016/j.jpba.2021.114496. Online ahead of print.

ABSTRACT

Raman micro-spectroscopy technique offers a combination of relatively high spatial resolution with identification of components or mixtures of components in different sample areas, e.g. on the surface or the cross-section of a sample. This study is focused on the analysis of the tablets from pharmaceutical development with different technological parameters: (1) the manufacturing technology, (2) the particle size of the input API (active pharmaceutical ingredient) and (3) the quantitative composition of the individual excipients. These three mentioned parameters represent the most frequently solved problems in the field of reverse engineering in pharmacy. The investigation aims to distinguish tablets with the above-described technological parameters with limited subjective steps by Raman microscopy. Furthermore, non-subjective methods of Raman data analysis using advanced statistical analysis have been proposed, namely Principal Component Analysis, Soft Independent Modelling of Class Analogy and Linear Discriminant Analysis. The methods successfully distinguished and identified even very small differences in the analysed tablets within our study and provided objective statistic evaluation of Raman maps. The information on component and particle size distribution including their small differences, which is the critical parameter in the development of the original and generic products, was obtained due to combination of these methods. Even though each of these chemometric methods evaluates the data set from a different perspective, their mutual application on the problem of Raman maps evaluation confirmed and specified results on level that would be unattainable with the use of only one them.

PMID:34902697 | DOI:10.1016/j.jpba.2021.114496

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Nevin Manimala Statistics

Comparing breast cancer imaging characteristics of CHEK2 with BRCA1 and BRCA2 gene mutation carriers

Eur J Radiol. 2021 Nov 26;146:110074. doi: 10.1016/j.ejrad.2021.110074. Online ahead of print.

ABSTRACT

PURPOSE: Breast cancer gene (BRCA) 1 and 2 mutations are frequently studied gene mutations (GM); the incidence of checkpoint kinase 2 (CHEK2) is increasing. We describe the imaging features of breast cancer (BC) in CHEK2 mutations, compared to BRCA 1 and 2 using mammography, ultrasound (US) and magnetic resonance imaging (MRI).

METHOD: Inclusion criteria were primary BC in GM carriers, treated in the same hospital. Age at diagnosis, histology, hormone receptor and human epidermal growth factor receptor 2 (HER2) status were retrieved. Mammography descriptors were mass, asymmetry and suspicious microcalcifications. The enhancement pattern (MRI), shape and border, architectural distortion, the presence of a hyperechoic rim and cystic complex structure (US) were documented. Analyses were performed using SAS software (version 9.4). Fishers’ exact test was used to test associations between two categorical variables.

RESULTS: In 191 women, 233 malignant lesions were diagnosed (78 in BRCA1, 109 in BRCA2, 46 in CHEK2). In CHEK2 carriers, mammographically, suspicious microcalcifications (54%) were more prevalent (BRCA2 (48%) and BRCA1 carriers (33%)) (p-value = 0.057) compared to mass lesions (35%). On US, lesions were most frequently ill-defined (86%) (p = 0.579) and irregular (94.5%) (p = 0.098) compared to BRCA2 (77% and 80% resp.) and BRCA1 carriers (71% and 72% resp.). On MRI, mass lesions showed a type 3 curve in CHEK2 (67%) compared to BRCA1 (36%) and BRCA2 (50%) (p = 0.056).

CONCLUSIONS: Malignant radiological characteristics of breast cancer, more specifically suspicious microcalcifications, were more frequently seen in CHEK2 and BRCA2 compared to BRCA1 mutation carriers (without a significant difference) indicating the importance of mammography in follow-up of CHEK2 carriers.

PMID:34902667 | DOI:10.1016/j.ejrad.2021.110074

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Nevin Manimala Statistics

The Dark Side of Humanity Scale: A reconstruction of the Dark Tetrad constructs

Acta Psychol (Amst). 2021 Dec 10;222:103461. doi: 10.1016/j.actpsy.2021.103461. Online ahead of print.

ABSTRACT

There has been an absence of consideration regarding measurement invariance across males and females in the widely available Dark Tetrad (DT) scales which measure psychopathy, Machiavellianism, narcissism and everyday sadism. This has resulted in criticisms of the measures, suggesting that the assessed constructs are not wholly relatable between the groups. This article documents the construction and validation of the Dark Side of Humanity Scale (DSHS), which measures dark personalities from an alternative viewpoint, determined by the constructs as they emerged from the male and female data, whilst aligning with theory and attaining invariance between sex. Across four samples (n = 2409), using a diverse range of statistical methods, including exploratory graph analysis, item response theory and confirmatory factor analysis, a divergence from the widely available DT measures emerged, whereby primary psychopathy and Machiavellianism were unified. This corroborated past research which had discussed the two constructs as being parallel. It further supported the DSHS with a shift away from the traditional DT conceptualisation. The resulting scale encompasses four factors which are sex invariant across samples and time. The first factor represents the successful psychopath, factor two addresses the grandiose form of entitlement, factor three taps into everyday sadism whilst the fourth factor pertains to narcissistic entitlement rage. Construct and external validity of the DSHS across two samples (n = 1338), as well as test-retest reliability (n = 413), was achieved. The DSHS provides an alternative approach to investigating the dark side of human nature, whilst also being sex invariant, thus making it highly suitable for use with mixed sex samples.

PMID:34902686 | DOI:10.1016/j.actpsy.2021.103461

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Nevin Manimala Statistics

Risk factors for Brucellosis and knowledge-attitude practice among pastoralists in Afar and Somali regions of Ethiopia

Prev Vet Med. 2021 Dec 7;199:105557. doi: 10.1016/j.prevetmed.2021.105557. Online ahead of print.

ABSTRACT

BACKGROUND: Brucellosis is a neglected bacterial zoonotic disease with substantial economic impact on households. Pastoral communities are a potential risk group due to their way of life being closely interlinked with their large livestock herds.

METHODOLOGY: A semi-structured questionnaire survey was conducted in households in the pastoral Afar and Somali (SRS) regions. All households had people and animals serologically tested for brucellosis. Questions were related to husbandry, consumption habits, and knowledge-attitude-practice towards the disease and zoonoses. Descriptive statistics and logistic analysis were performed to assess potential risk factors for having households with positive humans and/or animals.

RESULT: 647 households were included in the survey. Herd brucellosis prevalence was 40.3 % (15.9-86.3 % in Afar; 4-72.2 % in SRS). Over half (56.3 %) of the households in Afar and 41.8 % in SRS had at least one human reactor. Nearly a quarter of the households (22.8 %), recalled abortions in goats in the last 12 months, whereas 52.5 % and 50.3 % recalled stillborn in all species and membrane retentions respectively. All respondents drank raw milk and discarded animal afterbirths in the direct surroundings with minimal protection. Risk factors for animal reactors were goat herd size, and goat abortion. There was no identified risk factor for having human reactors in households. None of the households knew about brucellosis.

CONCLUSION: Although being endemic in Afar and SRS, Brucellosis is not known by the pastoralists. Brucellosis control programs will have to be tailored to the pastoral context, accounting for their mobility, large, multi-species herds and habits.

PMID:34902652 | DOI:10.1016/j.prevetmed.2021.105557

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Nevin Manimala Statistics

New insight into the CATIE study by constrained confidence partitioning. An innovative technique towards personalized antipsychotic drug therapy in schizophrenia treatment

Schizophr Res. 2021 Dec 10;239:192-199. doi: 10.1016/j.schres.2021.11.020. Online ahead of print.

ABSTRACT

The CATIE schizophrenia trial was a very influential randomized controlled trial in patients with chronic schizophrenia. Patients were followed for up to 18 months under treatment with a randomly assigned antipsychotic. The primary endpoint, time to discontinuation of treatment for any reason, is influenced by individual patient characteristics, external factors as well as effects of drug treatment. New insight is obtained by applying an innovative survival analysis based on constrained confidence partitioning (SA-C2P). Through this data-driven approach we identify homogeneous collectives of patients with similar patient characteristics differing from the study population in the primary endpoint, enabling us to predict patient individual outcome more precisely. A subgroup of patients treated with olanzapine featuring neither an anxiety disorder in the past month, drug abuse in the past five years nor hospitalizations in the past year discontinued drug therapy substantially later compared to patients meeting at least one of the named parameters. Moreover, differences in the primary outcome between second-generation antipsychotics increased compared to the original CATIE analysis when looking into this subgroup in the entire study sample. Our findings suggest that SA-C2P may assist in identifying relevant responder subgroups, probably missed by conventional statistical methods, making it a potential tool for personalized medicine.

PMID:34902651 | DOI:10.1016/j.schres.2021.11.020

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Nevin Manimala Statistics

Medicine Dose Adjustment Practice and Associated Factors among Renally Impaired Patients in Amhara Regional State, Ethiopia

Int J Nephrol. 2021 Dec 1;2021:8238250. doi: 10.1155/2021/8238250. eCollection 2021.

ABSTRACT

BACKGROUND: Kidney disease affects absorption, distribution, metabolism, and excretion of medicines and their metabolites. Therefore, when prescribing medicines for patients with kidney disease, dose adjustment is an accepted standard of practice.

OBJECTIVE: This study aimed to assess medicine dose adjustment practice and associated factors among adult patients with renal impairment admitted to medical wards at Amhara region referral hospitals.

METHOD: Multicenter, institution-based, cross-sectional study was conducted from March 28, 2020, to August 30, 2020. The data was collected by using a pretested interviewer-administered structured questionnaire. Data were entered into Epi-Data version 4.6 and transferred into SPSS version 25 for further data processing and analysis. Descriptive statistics such as frequencies and percentages were computed. Both bivariable and multivariable binary logistic regression analyses were fitted to identify factors associated with dose adjustment practice. A 95% confidence interval and a p value less than 0.05 were used to declare statistical significance.

RESULT: Among 815 medicines’ prescriptions that needed dose adjustment, 417 (51.2%) of them were dosed inappropriately. Number of medicines, number of comorbidities, and being unemployed were significantly associated with inappropriate dose adjustment.

CONCLUSION: Our study revealed that there was a considerable rate of inappropriate dose adjustment in patients with renal impairment. Training for health care providers, use of guidelines, and communication with clinical pharmacists should be encouraged for good prescription practice.

PMID:34900352 | PMC:PMC8654552 | DOI:10.1155/2021/8238250

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Nevin Manimala Statistics

Effects of diesel-engine exhaust emissions on seed germination and seedling growth of Brassicaceae family using digital image analysis

J Environ Health Sci Eng. 2021 Sep 28;19(2):1887-1900. doi: 10.1007/s40201-021-00742-6. eCollection 2021 Dec.

ABSTRACT

This paper describes a multi-phase investigation into the direct effect of diesel exhaust emission on seed germination traits and biochemical changes responsible for observed effects in seeds belongs to the Brassica family. Diesel exhaust emissions were collected in germination boxes and seeds were exposed to diesel exhaust pollutants for durations of 30 to 120 min with 30 min intervals. Observed effects include seed germination inhibition, changes in seeds’ antioxidants activity, and protein content. The lowest seed germination of canola (71 %) and arugula (84 %) was observed when seeds were exposed to 120 min of diesel exhaust pollution. Seed exposure to diesel exhaust emission for 60 min, caused a 23 % and 8 % decline of germination index of canola and arugula, respectively. The maximum seed soluble protein for canola (3.72 mg/g FW) was observed in seeds exposed to 120 min diesel exhaust pollution declined to 1.65 mg/g FW, and 0.60 mg/g FW after 60 and 30 min exposure to diesel exhaust, respectively. The maximum protein content of arugula seeds (0.95 mg/g FW) was observed in the control treatment and it was reduced to 0.72 mg/g FW and 0.53 mg/g FW after 60 and 90 min exposure to diesel exhaust pollution. Catalase activity was significantly reduced as canola seed exposure to diesel exhausted was increased while there were no statistically significant changes for catalase activity of arugula seeds. All evidence suggested that time of exposure was the key phytotoxic component of exhaust emissions, and highlights the potential for detrimental effects of vehicle emissions on agro-ecosystems.

PMID:34900314 | PMC:PMC8617225 | DOI:10.1007/s40201-021-00742-6

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Nevin Manimala Statistics

A space-time analysis of disparities in age at diagnosis of autism spectrum disorder: environmental and socioeconomic risk factors

J Environ Health Sci Eng. 2021 Oct 20;19(2):1941-1950. doi: 10.1007/s40201-021-00746-2. eCollection 2021 Dec.

ABSTRACT

INTRODUCTION: Early diagnosis of autism is a critical step for gaining early intervention. The earlier interventions begin, the greater chance to reduce symptoms of autism over the lifespan. Despite the improvement in early diagnosis, age at diagnosis varies by residential locations. In order to improve early screening services, this study aims to identify geographic clusters of early and late diagnosis of autism, in addition, it is aimed to compare cases inside the clusters with the rest of the province on characteristics and socioeconomic factors.

MATERIALS AND METHODS: Survey data were collected from 163 autistics born from 1996 to 2011 in Isfahan Province, Iran. As this study found diagnosis of autism occur at an earlier age among children, who on average every 2.5 months increased for each year of age, distance from regression line has been used to determine how early a case was diagnosed compared to other identified cases. After dividing cases into 5 classes based on their distances from the regression line, the ordinal based space-time scan statistic in SaTScan was used to identify geographic areas within specific time periods that have significantly elevated proportions of autistic children who received diagnosis at the earlier or later stages.

RESULTS: The space-time analysis identified two geographic areas that age of diagnosis was inconsistent with the overall study area, the first area has an early diagnosis in central part of Isfahan megacity between 1998 and 2006 (P = .001), the second area shows to have a late diagnosis centered by Najafabad from 2010 through 2015 (P = .007).

CONCLUSIONS: The result of our spatial analysis can be used to evaluate the performance of diagnosis services and additionally provide information to target specific at-risk population for further interventions.

PMID:34900317 | PMC:PMC8617109 | DOI:10.1007/s40201-021-00746-2

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Nevin Manimala Statistics

Effect of Base Transceiver Station (BTS) waves on some blood factors in domestic pigeons: an experimental study

J Environ Health Sci Eng. 2021 Oct 18;19(2):1827-1833. doi: 10.1007/s40201-021-00738-2. eCollection 2021 Dec.

ABSTRACT

PURPOSE: BTS waves are one of the most important environmental pollutants, but there is inadequate data of its effects on living creatures. Birds have major role in environmental balance and hematologic factors are good describers of animal health. Therefore, we studied hematological factors in pigeons to assess the health effects of BTS waves in urban birds.

METHODS: This experiment has been run on 120 six month-old pigeons. After adaptation to laboratory settings, they divided to six random groups of distance from BTS and daily exposure time. G1: 50 cm/30 min, G2: 100 cm/30 min daily, G3: 150 cm/30 min, G4: 50 cm/60 min, G5: 100 cm/60 min and G6: 150 cm/60 min. Daily exposure done for 30 consecutive days. Hematologic studies done before and after exposure for analysis of WBC, Neut, Mono, Lymph, RBC, Hb, HCT, MCV, MCHC and platelets. Results processed statistically by SPSS software.

RESULTS: The results of this study showed a significant difference between the six experimental groups. The results showed distance from the BTS source had the largest effect on PLT followed by HCT, MCV, MCHC, Neut, Hb, RBC, Lymph, WBC, and Mono, respectively. Moreover, the duration of exposure to BTS wave had the largest effect on Mono followed by PLT, Neut, MCV, MCHC, WBC, HCT, Lymph, RBC and Hb, respectively.

CONCLUSIONS: Study showed that increasing exposure time and decreasing distance from the wave source have significant effect on hematologic factors. The distance has more effect than exposure time. Further investigation on protection and reducing the side effects are recommended.

PMID:34900310 | PMC:PMC8617219 | DOI:10.1007/s40201-021-00738-2

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Nevin Manimala Statistics

Investigating the effects of vermicomposting process using Eisenia Fetida earthworms on the reduction of parasites population

J Environ Health Sci Eng. 2021 Oct 23;19(2):1623-1633. doi: 10.1007/s40201-021-00718-6. eCollection 2021 Dec.

ABSTRACT

PURPOSE: The existence of parasite agents in natural organic fertilizers can lead to health problems and infection transmission. The aim of the present study was to survey the parasites’ population reduction during the vermicomposting of the mixtures of municipal sewage sludge (SS) and cow dung (CD) using E. fetida earthworms.

METHODS: The vermicomposting process was performed by using earthworms of E. fetida species. The composting process was conducted in 27 pilots for 3 months. The identification and counting of the parasites’ population were carried out by Mac Master Slide, according to Bailenger method.

RESULTS: The results indicated that the type and number of parasite elements decreased with increasing vermicomposting time. The cumulative removal percent of parasites for sewage sludge (96.10%) was more than the SS + CD (93.65%) and CD (92.93%) treatments. The results showed that after 90 days of vermicomposting, the highest cumulative reduction in the number of parasites was obtained for the treatments with 40 earthworms (98.48%), while the corresponding value for the treatments without earthworms was (88.66%). The statistical analysis indicated that in terms of the parasite’s population, a significant difference was observed for the three kinds of compostable materials (P < 0.05), however, this difference was not significant for the three levels of the earthworms (P > 0.05).

CONCLUSION: The results showed that the mixture of sewage sludge and cow dung in combination with sawdust could lead to greater and faster reduction in the parasite’s population. In addition, the bio-transformed product can be used as useful manure.

PMID:34900293 | PMC:PMC8617126 | DOI:10.1007/s40201-021-00718-6