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Nevin Manimala Statistics

Association between early life antibiotic exposure and development of early childhood atopic dermatitis

JAAD Int. 2022 Nov 13;10:68-74. doi: 10.1016/j.jdin.2022.11.002. eCollection 2023 Mar.

ABSTRACT

BACKGROUND: Atopic dermatitis (AD) is a chronic, inflammatory skin disease commonly onset during infancy.

OBJECTIVE: We examine the association between pre-and postnatal antibiotic exposure and the development of AD.

METHODS: A retrospective, observational study analyzed 4106 infants at the University of Florida from June 2011 to April 2017.

RESULTS: Antibiotic exposure during the first year of life was associated with a lower risk of AD. The association was strongest for exposure during the first month of life. There were no significant differences in the rates of AD in infants with or without exposure to antibiotics in months 2 through 12, when examined by month. Antibiotic exposure during week 2 of life was associated with lower risk of AD, with weeks 1, 3, and 4 demonstrating a similar trend.

LIMITATIONS: Retrospective data collection from a single center, use of electronic medical record, patient compliance with prescribed medication, and variable follow-up.

CONCLUSIONS: Early life exposures, such as antibiotics, may lead to long-term changes in immunity. Murine models of atopic dermatitis demonstrate a “critical window” for the development of immune tolerance to cutaneous microbes. Our findings suggest that there may also be a “critical window” for immune tolerance in human infants, influenced by antibiotic exposure.

PMID:36688099 | PMC:PMC9850168 | DOI:10.1016/j.jdin.2022.11.002

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Nevin Manimala Statistics

Translation and psychometrics of the Persian version of the Good Nursing Care Scale in Iran

Int J Nurs Knowl. 2023 Jan 22. doi: 10.1111/2047-3095.12413. Online ahead of print.

ABSTRACT

BACKGROUND AND AIM: Identifying and evaluating the strengths and weaknesses of nursing care provided to improve the quality of nursing care is increasingly emphasized, and it requires using valid tools in this field. This study aimed to translate and determine the psychometric properties of the Persian version of the “Good Nursing Care Scale” (GNCS-P).

METHODS: The present study is a methodological study in which the psychometric dimensions of GNCS-P were studied from the perspective of 200 patients who were admitted to the hospitals of Ardabil University of Medical Sciences. After translating the original version of the scale, its validity and reliability were evaluated and data analysis was performed using statistical package for social science (version 16) and analysis of moment structures (version 24).

RESULTS: The effect score of the item in the evaluation of face validity for each item was above 2.4. The content validity ratio for the scale was 0.88, and the content validity index tool was 0.86. The correlation of total instrument scores with the standard instrument was 0.839. According to the results of factor analysis, the values of factor loading of items were between 0.62 and 0.91, which were all significant. Therefore, the seven dimensions introduced in the main tool were approved. In addition, Cronbach’s alpha results of 0.865 and correlation of 0.894 in the test-retest showed that the questionnaire has internal consistency and acceptable stability.

CONCLUSION: The Persian version of the GNCS-P has acceptable psychometric properties in the Iranian population and can be used as a valid tool in the areas of quality assessment of nursing care, education, and nursing research.

IMPLICATIONS FOR NURSING PRACTICE: The results showed the validity and reliability of the tool and its usability as a valid tool in evaluating the quality of nursing care.

PMID:36683201 | DOI:10.1111/2047-3095.12413

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Nevin Manimala Statistics

Attributes underlying patient choice of treatment modality for low-grade squamous intraepithelial lesion complicated by high-risk human papillomavirus infection

Int J Hyperthermia. 2023;40(1):2168075. doi: 10.1080/02656736.2023.2168075.

ABSTRACT

OBJECTIVE: To use logistic regression to analyze the attributes underlying patients’ treatment options for low-grade squamous intraepithelial lesion (LSIL) complicated with high-risk human papillomavirus (HR-HPV) infection, and identify the best benefit group of different treatment options.

METHODS: Clinical data of 197 LSIL patients with HR-HPV infection between June 2009 and February 2022 were collected. According to the treatment options chosen by the patients, they were divided into the interferon, photodynamic therapy, follow-up observation, and focused ultrasound (FUS) treatment groups. One-way analysis of variance (ANOVA) and multivariate logistic regression analysis were used to analyze the influencing factors, including age, occupation, education level, maternity history, reason for encounter, route of consultation, annual personal and household income, screening for related risk factors, and identifying the best benefit group of different treatment options.

RESULTS: One-way ANOVA revealed a statistically significant difference in age, education level, maternity history, reason for encounter, and annual household income (p < 0.05). Multivariate logistic regression analysis was performed on these five factors, indicating that age ≤35 years, high school educational level or higher, and no childbirth history were independent risk factors influencing patients’ choices of FUS treatment. The receiver operating characteristic curve was used to determine the age threshold of 31 years.

CONCLUSION: Age, educational level, and maternity history were independent risk factors influencing patients’ choice of treatment modality for LSIL complicated with HR-HPV infection. Age ≤31 years, high school, equivalent, or higher educational level, and no childbirth yielded a higher rate of choosing FUS treatment for LSIL patients with HR-HPV infection.

PMID:36683163 | DOI:10.1080/02656736.2023.2168075

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Nevin Manimala Statistics

Evaluating the discriminating power of amino acid ratios on distinguishing dark colored hair samples

J Forensic Sci. 2023 Jan 22. doi: 10.1111/1556-4029.15192. Online ahead of print.

ABSTRACT

Human hairs are one of the most commonly encountered items of trace evidence. Currently, conventional methods for hair analysis include microscopic comparison and DNA analysis (nuclear and mitochondrial). Each approach has its own drawbacks. Hair proteins are stable and offer an alternative to DNA testing, as demonstrated with proteomics for distinguishing humans. However, proteomics is complicated and requires identifying peptides to remain intact following harsh sample preparation methods. Alternatively, the actual amino acid content of a hair sample may also offer important identifying information and actually requires proteins and peptides to be broken down completely rather than remaining intact. This study evaluated the discriminating power of using hair amino acid ratios to differentiate hair samples from 10 unrelated individuals with dark colored hair. Hair proteins were digested, derivatized, and analyzed using gas chromatography-mass spectrometry. Amino acid ratios were calculated for each individual and comparisons using ANOVA and post-hoc pairwise t-test with Bonferroni correction were made with amino acid ratios for individuals. Overall, out of the 45 possible pairwise comparisons between all hair samples, 38 (84%) were differentiable. Out of the 36 possible pairwise comparisons between brown haired individuals, 32 (89%) were considered differentiable using univariate statistics. Multivariate statistics were also attempted but, overall, univariate models were sufficient for exclusionary purposes. These results indicate that amino acid ratio analysis can potentially be used as an exclusionary method using hair if DNA analysis cannot be performed, or to corroborate conclusions made following microscopic analysis.

PMID:36683150 | DOI:10.1111/1556-4029.15192

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Nevin Manimala Statistics

Assessing data mining algorithms to predict the quality of groundwater resources for determining irrigation hazard

Environ Monit Assess. 2023 Jan 23;195(2):319. doi: 10.1007/s10661-022-10909-9.

ABSTRACT

This study aims to compare three popular machine learning (ML) algorithms including random forest (RF), boosting regression tree (BRT), and multinomial logistic regression (MnLR) for spatial prediction of groundwater quality classes and mapping it for salinity hazard. Three hundred eighty-six groundwater samples were collected from an agriculturally intensive area in Fars Province, Iran, and nine hydro-chemical parameters were defined and interpreted. Variance inflation factor and Pearson’s correlations were used to check collinearity between variables. Thereinafter, the performance of ML models was evaluated by statistical indices, namely, overall accuracy (OA) and Kappa index obtained from the confusion matrix. The results showed that the RF model was more accurate than other models with the slight difference. Moreover, the analysis of relative importance also indicated that sodium adsorption ratio (SAR) and pH have the most impact parameters in explaining groundwater quality classes, respectively. In this research, applied ML algorithms along with the hydro-chemical parameters affecting the quality of ground water can lead to produce spatial distribution maps with high accuracy for managing irrigation practice.

PMID:36683118 | DOI:10.1007/s10661-022-10909-9

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Nevin Manimala Statistics

The sharing through corporate sustainability for improving corporate performance in state-owned firms

Environ Sci Pollut Res Int. 2023 Jan 23. doi: 10.1007/s11356-023-25349-2. Online ahead of print.

ABSTRACT

This research aims to investigate the appropriate ownership structure via mediating role of corporate sustainability on corporate performance in state-owned companies of Pakistan by examining the role of organizational governance, agency problems, and current issue of CEO ownership. Most effective theories within the context of the developing country of Pakistan are taken into account and study explores the following issue. First, ownership structure is more effective and could provide major findings in corporate, innovative, and environmental performance. Second, corporate, innovative, and environmental performance is receiving high attention due to the critical business environment in Pakistan. There are many factors that stimulate the significance of the corporate, innovative, and environmental performance. In this phase, the role of CEO and responsibilities towards the company and its performance is analyzed. This study has conducted the theoretical survey in both foreign and home countries. Further, this step is hallmark in providing some countermeasures recommendation for the betterment of state-owned companies of Pakistan. Third is whether the CEOs and shareholders could enhance the corporate, innovative, and environmental performance. Empirical evidence data is collected via structured questionnaire from SO companies operating in the emerging market of Pakistan. In addition, empirical research in this study includes descriptive statistics tests, co-relation test, and analyses generated hypotheses through Analysis of a Moment Structure (AMOS) using structural equation modeling. Our research findings recommend CEOs and top managers to utilize their financial resources in an efficient way to achieve the advantage.

PMID:36683108 | DOI:10.1007/s11356-023-25349-2

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Nevin Manimala Statistics

Assessment of the spatiotemporal water quality variations in the Middle Route of China’s South-to-North Water Diversion Project by multivariate analysis

Environ Sci Pollut Res Int. 2023 Jan 23. doi: 10.1007/s11356-022-25115-w. Online ahead of print.

ABSTRACT

As an important drinking water source for North China, the Middle Route of China’s South-to-North Water Diversion Project (MRP) must provide high-quality water to maintain the health and safety of more than 60 million people. However, different water transfer operation modes may affect the water quality status, and the spatiotemporal characteristics of water quality in the MRP, with high water transfer volumes, remain poorly understood. In this study, the differences in water quality in the MRP between the initial stage (Nov. 2015 to Oct. 2017, low transfer volumes) and the current stage (Nov. 2017 to Oct. 2020, high transfer volumes) were compared, and the spatiotemporal water quality variations in the current stage were evaluated using multivariate statistical methods. For this purpose, approximately 12,528 observations, including the datasets of 12 water quality parameters collected from 29 monitoring sites, were used. The results showed that the water quality status improved significantly during the current stage. Based on principal component analysis (PCA), physical parameters (natural), nutrients, organic matter and microbes (anthropogenic), and heavy metals (natural and anthropogenic) were the key factors influencing water quality variations. Based on hierarchical cluster analysis, 12 months were classified into two groups: the high-flow period (HFP, Jun.-Oct.) and the low-flow period (LFP, Nov.-May). Additionally, 29 sampling sites were grouped into three sections: the Henan section (HN; S1-S16), Hebei section (HB; S17-S24), and Tianjin-Beijing section (TB; S25-S29). From the perspective of water quality regulation, the total nitrogen concentration and permanganate index in the HB and TB sections of the MRP should be considered throughout the year, and the faecal coliform concentrations in these two sections should also be considered during the HFP. The results of this study could be helpful for local administrations to understand and control pollution and better protect the quality of water in the MRP.

PMID:36683107 | DOI:10.1007/s11356-022-25115-w

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Nevin Manimala Statistics

A real-world study of treatment patterns among patients with osteoporotic fracture: analysis of a Japanese hospital database

Arch Osteoporos. 2023 Jan 23;18(1):23. doi: 10.1007/s11657-022-01201-x.

ABSTRACT

Health records of patients hospitalized for osteoporotic fracture were analyzed. Prior to the index hospital admission, most patients were not receiving any antiosteoporotic treatment. During the index hospitalization visit, 25.5% of patients received antiosteoporotic treatment. The most common treatment regimens were active vitamin D3, bisphosphonates, and teriparatide.

PURPOSE: To examine the real-world treatment patterns and factors associated with receipt of treatment among Japanese patients with osteoporotic fracture.

METHODS: We retrospectively analyzed health records of patients who were hospitalized for osteoporotic fracture between February 2016 and February 2018 in Japan. The type and duration of treatment with antiosteoporotic medications prescribed during hospital stays and after discharge were examined using descriptive statistics. Demographic and clinical factors (e.g., age, previous diagnoses, Charlson Comorbidity Index scores) associated with osteoporotic treatment were explored using multivariable logistic regression.

RESULTS: A total of 112,275 patient medical records were evaluated, including 56,574 records from patients with hip fracture, 26,681 records from patients with vertebrae fracture, and 29,020 patients with non-vertebral non-hip fractures. Prior to the index hospital admission, most patients (91.7%, n = 102,919) were not receiving any antiosteoporotic treatment. For those receiving treatment, active vitamin D3 (51.1%, n = 4778) and bisphosphonates (47.5%, n = 4441) were the most common. During the index hospitalization visit, 25.5% (n = 28,678) of patients received treatment for their fracture, including active vitamin D3 (n = 17,074), bisphosphonates (n = 10,007), and teriparatide (n = 4561). Upon discharge, 41.5% (n = 46,536) of patients returned to their home and 34.3% (n = 38,542) of patients were transferred to a different hospital or medical care facility. Variables associated with receipt of treatment at follow-up included older age, previous diagnoses of osteoporosis and fracture, and higher Charlson Comorbidity Index scores.

CONCLUSION: Despite osteoporotic fracture being a major health concern within older Japanese populations, treatment with antiosteoporotic medication regimens remains generally low.

PMID:36683098 | DOI:10.1007/s11657-022-01201-x

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Nevin Manimala Statistics

Incidence of pneumococcal disease from 2003 to 2019 in children ≤17 years in England

Pneumonia (Nathan). 2023 Jan 23;15(1):2. doi: 10.1186/s41479-022-00103-3.

ABSTRACT

BACKGROUND: Pneumococcal disease is a leading cause of communicable disease morbidity and mortality globally. We aimed to estimate invasive pneumococcal disease (IPD), pneumococcal pneumonia (PP) and all-cause pneumonia (ACP) incidence rates (IRs) in children aged 0-17 years in England from 2003 to 2019.

METHODS: A retrospective study in children ≤17 years old from 2003 to 2019 using the Clinical Practice Research Datalink (CPRD) Gold and Hospital Episodes Statistics Admitted Patient Care (HES APC) databases. IPD episodes were identified in hospital records (HES APC). PP (caused by Streptococcus pneumoniae only) and ACP episodes (caused by any pathogen) were identified in primary care (CPRD) and in hospital records (HES APC). Annual IRs by age-group were calculated as the number of episodes/person-years (PY) at risk, with 95% confidence intervals (95% CI). Interrupted time series analyses were conducted to assess changes in IRs across the post-PCV7 (2007-2009), early post-PCV13 (2011-2014) and late post-PCV13 (2015-2019) periods compared to the pre-PCV7 period (2003-2005) using generalized linear models.

RESULTS: 170 IPD episodes, 769 PP episodes and 12,142 ACP episodes were identified in 1,500,686 children in 2003-2019. The overall IPD, PP and ACP IRs (per 100,000 PY) were 2.29 (95% CI 1.96-2.66), 10.34 (95% CI 9.62-11.10) and 163.37 (95% CI 160.47-166.30), respectively. The highest IPD, PP and ACP IRs were observed in children aged < 2 years compared to older children (2-4 and 5-17 years). IPD IRs decreased between the pre-PCV7 period and the late post-PCV13 period from 3.28 (95% CI 2.42-4.33) to 1.41 (95% CI 0.80-2.29), IRR 0.28 (95% CI 0.09-0.90), p-value 0.033. PP IRs declined between the pre-PCV7 period and the late post-PCV13 period from 14.65 (95% CI 12.77-16.72) to 3.87 (95% CI 2.81-5.20), IRR 0.19 (95% CI 0.09-0.38), p-value < 0.001. ACP IRs declined between the pre-PCV7 period and the late post-PCV13 period from 167.28 (95% CI 160.78-173.96) to 124.96 (95% CI 118.54-131.63), IRR 0.77 (95% CI 0.66-0.88), p-value < 0.001.

CONCLUSIONS: The clinical burden of IPD, PP and ACP declined in children in England aged 0-17 years between 2003 and 2019, especially in the late post-PCV13 period. This study highlights the importance of PCV vaccination in reducing the burden of PD and ACP in children in England.

PMID:36683061 | DOI:10.1186/s41479-022-00103-3

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Nevin Manimala Statistics

Myocardial late gadolinium enhancement using delayed 3D IR-FLASH in the pediatric population: feasibility and diagnostic performance compared to single-shot PSIR-bSSFP

J Cardiovasc Magn Reson. 2023 Jan 23;25(1):2. doi: 10.1186/s12968-023-00917-0.

ABSTRACT

BACKGROUND: This study compares three-dimensional (3D) high-resolution (HR) late gadolinium enhancement (LGE; 3D HR-LGE) imaging using a respiratory navigated, electrocardiographically-gated inversion recovery gradient echo sequence with conventional LGE imaging using a single-shot phase-sensitive inversion recovery (PSIR) balanced steady-state free precession (bSSFP; PSIR-bSSFP) sequence for routine clinical use in the pediatric population.

METHODS: Pediatric patients (0-18 years) who underwent clinical cardiovascular magnetic resonance (CMR) with both 3D HR-LGE and single-shot PSIR-bSSFP LGE between January 2018 and June 2020 were included. Image quality (0-4) and detection of LGE in the left ventricle (LV) (per 17 segments), in the right ventricle (RV) (per 3 segments), as endocardial fibroelastosis (EFE), at the hinge points, and at the papillary muscles was analyzed by two blinded readers for each sequence. Ratios of the mean signal intensity of LGE to normal myocardium (LGE:Myo) and to LV blood pool (LGE:Blood) were recorded. Data is presented as median (1st-3rd quartiles). Wilcoxon signed rank test and chi-square analyses were used as appropriate. Inter-rater agreement was analyzed using weighted κ-statistics.

RESULTS: 102 patients were included with median age at CMR of 8 (1-13) years-old and 44% of exams performed under general anesthesia. LGE was detected in 55% of cases. 3D HR LGE compared to single-shot PSIR-bSSFP had longer scan time [4:30 (3:35-5:34) vs 1:11 (0:47-1:32) minutes, p < 0.001], higher image quality ratings [3 (3-4) vs 2 (2-3), p < 0.001], higher LGE:Myo [23.7 (16.9-31.2) vs 5.0 (2.9-9.0), p < 0.001], detected more segments of LGE in both the LV [4 (2-8) vs 3 (1-7), p = 0.045] and RV [1 (1-1) vs 1 (0-1), p < 0.001], and also detected more cases of LGE with 13/56 (23%) of patients with LGE only detectable by 3D HR LGE (p < 0.001). 3D HR LGE specifically detected a greater proportion of RV LGE (27/27 vs 17/27, p < 0.001), EFE (11/11 vs 5/11, p = 0.004), and papillary muscle LGE (14/15 vs 4/15, p < 0.001). Inter-rater agreement for the recorded variables ranged from 0.42 to 1.00.

CONCLUSIONS: 3D HR LGE achieves greater image quality and detects more LGE than conventional single-shot PSIR-bSSFP LGE imaging, and should be considered an alternative to conventional LGE sequences for routine clinical use in the pediatric population.

PMID:36683053 | DOI:10.1186/s12968-023-00917-0