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Nevin Manimala Statistics

Supplementation of vitamin E as an addition to a commercial renal diet does not prolong survival of cats with chronic kidney disease

BMC Vet Res. 2024 Jul 10;20(1):308. doi: 10.1186/s12917-024-04176-8.

ABSTRACT

BACKGROUND: The aim of this double-blind, placebo-controlled study was to investigate the effect of vitamin E supplementation as an addition to a commercial renal diet on survival time of cats with different stages of chronic kidney disease (CKD). In addition, we were interested whether vitamin E supplementation affects selected oxidative stress and clinical parameters. Thirty-four cats with CKD and 38 healthy cats were included in the study. Cats with CKD were classified according to the IRIS Guidelines; seven in IRIS stage 1, 15 in IRIS stage 2, five in IRIS stage 3 and seven in IRIS stage 4. Cats with CKD were treated according to IRIS Guidelines. Cats with CKD were randomly assigned to receive vitamin E (100 IU/cat/day) or placebo (mineral oil) for 24 weeks in addition to standard therapy. Plasma malondialdehyde (MDA) and protein carbonyl (PC) concentrations, DNA damage of peripheral lymphocytes and plasma vitamin E concentrations were measured at baseline and four, eight, 16 and 24 weeks thereafter. Routine laboratory analyses and assessment of clinical signs were performed at each visit.

RESULTS: Vitamin E supplementation had no effect on the survival time and did not reduce the severity of clinical signs. Before vitamin E supplementation, no significant differences in vitamin E, MDA and PC concentrations were found between healthy and CKD cats. However, plasma MDA concentration was statistically significantly higher (p = 0.043) in cats with early CKD (IRIS stages 1 and 2) than in cats with advanced CKD (IRIS stages 3 and 4). Additionally, DNA damage was statistically significantly higher in healthy cats (p ≤ 0.001) than in CKD cats. Plasma vitamin E concentrations increased statistically significantly in the vitamin E group compared to the placebo group four (p = 0.013) and eight (p = 0.017) weeks after the start of vitamin E supplementation. During the study and after 24 weeks of vitamin E supplementation, plasma MDA and PC concentrations and DNA damage remained similar to pre-supplementation levels in both the placebo and vitamin E groups.

CONCLUSIONS: Vitamin E supplementation as an addition to standard therapy does not prolong survival in feline CKD.

PMID:38987749 | DOI:10.1186/s12917-024-04176-8

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Nevin Manimala Statistics

Prevalence and associated factors of infection in children with nephrotic syndrome aged 2-18 years in the northwest and east Amhara region, Ethiopia: a multi-center cross-sectional retrospective study

BMC Public Health. 2024 Jul 10;24(1):1845. doi: 10.1186/s12889-024-19408-7.

ABSTRACT

BACKGROUND: Infection is the most common complication of pediatric patients with nephrotic syndrome. The factors associated with infection in nephrotic syndrome are lacking. The objective of the study was to identify the prevalence and associated factors among children with nephrotic syndrome aged 2 to 18 years.

METHODS: We conducted a hospital-based retrospective cross-sectional study. The data collector installed an Epi5 collector electronic data-collecting tool from Google Play. Then, we exported the data to Stata version 15.1 for analysis. The mean, standard deviation, frequency, and percentage were used for descriptive statistics. The logistic regression model was used to identify the factors associated with infection.

RESULTS: In this study, the prevalence of infection among nephrotic syndrome children is 39.8% (95%CI: 30.7, 49.7). The types of infection identified were pneumonia, urinary tract infection, diarrheal disease, cutaneous fungal infection, intestinal parasitic infection, and sepsis. The presence of hematuria increased the odds of infection by 5-times. On the other hand, low level of serum albumin increased the odds of infection by 7%. Being a rural resident increased the odds of infection by 3.3-times as compared to urban.

CONCLUSIONS: Serum albumin level, presence of hematuria, and rural residence were significantly associated with infection. We recommended a longitudinal incidence study on large sample size at multicenter to strengthen this finding.

PMID:38987746 | DOI:10.1186/s12889-024-19408-7

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Nevin Manimala Statistics

Associations between modifiable risk factors and hepatocellular carcinoma: a trans-ancestry Mendelian randomization study

BMC Cancer. 2024 Jul 10;24(1):820. doi: 10.1186/s12885-024-12525-x.

ABSTRACT

BACKGROUND: Potentially modifiable risk factors for hepatocellular carcinoma (HCC) have been investigated in observational epidemiology studies in East Asian and European populations, whereas the causal associations of most of these risk factors remain unclear.

METHODS: We collected genome-wide association summary statistics of 22 modifiable risk factors in East Asians and 33 risk factors in Europeans. Genetic summary statistics of HCC were sourced from the Biobank Japan study (1,866 cases and 195,745 controls) for East Asians, and the deCODE genetics study (406 cases and 49,302 controls) and the UK Biobank (168 cases and 372 016 controls) for Europeans. Two-sample Mendelian randomization (MR) analyses were performed independently for East Asian and European populations.

RESULTS: In East Asians, genetically predicted alcohol frequency, ever drinkers, aspartate aminotransferase (AST), hypothyroidism, chronic hepatitis B, and chronic hepatitis C, metabolic dysfunction-associated steatotic liver disease (MASLD), and autoimmune hepatitis were significantly associated with an increased HCC risk (P < 0.05/22). Among European population, alanine transaminase, AST, MASLD, percent liver fat, and liver iron content were significantly associated with a higher risk of HCC (P < 0.05/33). The replication dataset and meta-analysis further confirmed these results.

CONCLUSIONS: Although East Asian and European populations have different factors for HCC, their common modifiable risk factors AST and MASLD for HCC, offer valuable insights for targeted intervention strategies to mitigate society burden of HCC.

PMID:38987736 | DOI:10.1186/s12885-024-12525-x

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Nevin Manimala Statistics

Prevalence of dental caries and associated factors among primary school children in Ethiopia: systematic review and meta-analysis

BMC Oral Health. 2024 Jul 10;24(1):774. doi: 10.1186/s12903-024-04555-5.

ABSTRACT

BACKGROUND: Dental caries (decay or cavities) is the breakdown of teeth as a result of bacteria. Dental caries is one of the most preventable oral health problems and the most common chronic disease in primary school children. Poor dental and oral health affects the quality of children’s lives.

OBJECTIVES: The study aimed to synthesize the existing literature on the prevalence and associated factors of dental caries among primary school children in Ethiopia in 2024.

METHODOLOGY: Studies were searched through the search engines of Google Scholar, PubMed, Scopus, MEDLINE, and the Cochrane Library. Searching was made using keywords and MeSH terms for dental caries, dental plaque, primary school children, and Ethiopia. Heterogeneity was assessed using the Cochran Q test and I2 statistics. A random-effects model with a 95% confidence interval was used for prevalence and odds ratio estimations.

RESULT: The result of seven studies disclosed that the overall prevalence of dental caries in primary school children in Ethiopia was 35% (26-45%). high intake of sweets (OR = 2.71,95%CI:1.968-3.451), a poor habit of tooth cleaning (OR = 2.46; 95% CI: 2.761-5.045), Grade level 1-4(OR = 2.46; 95% CI: 1.523-3.397), having a history of toothache(OR = 2.99; 95% CI: 2.679-3.314), absence of toothpaste use(OR = 1.42; 95% CI: -1.278-4.109), reduction of the previous year’s academic score(OR = 5.51; 95% CI: 1.952-9.066), had a significant microbial load(OR = 3.82, CI: 3.439-4.192) and have acid bacillary pH on their teeth(OR = 2.42, CI: 1.494-3.335) were independent variables associated with dental carries among primary school children.

CONCLUSION: The overall prevalence of dental caries among primary school children in Ethiopia is 35%, ranging from 26 to 45%. However, variations in prevalence rates are observed based on sampling techniques. Studies using simple random sampling report a higher prevalence rate of 42%, while those employing multi-stage random sampling and systematic random sampling show lower rates of 30% and 35%, respectively. This indicates that the choice of sampling technique can impact reported prevalence rates, with simple random sampling yielding higher estimates compared to other methods.

PMID:38987729 | DOI:10.1186/s12903-024-04555-5

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Nevin Manimala Statistics

Knowledge and attitude of traumatic dental injuries in Mongolian schoolteachers

BMC Oral Health. 2024 Jul 10;24(1):771. doi: 10.1186/s12903-024-04526-w.

ABSTRACT

BACKGROUND: Traumatic dental injury (TDI) is a growing public health concern worldwide, and children and adolescents are commonly affected. Because TDI often occurs at school, the response of teachers to these injuries is crucial. However, teachers in various countries have been shown to lack knowledge of effective TDI first-aid response and need an intervention to improve their knowledge. The aim of the study presented here was to ascertain and analyze teachers’ knowledge of and attitude about TDI in Mongolia.

MATERIALS AND METHODS: A cross-sectional study of full-time teachers in Mongolia was performed using an online questionnaire (compiled from relevant studies) from September 2022 to December 2022. The questionnaire consists of 47 items and among them 14 were used to assess the teacher’s knowledge, and 5 were for attitude towards TDI. The maximum possible score was 14 points and grouped as follows good, moderate, and poor. T-test, ANOVA test (post-hoc) and linear regression analysis were performed.

RESULTS: The online survey provided quantitative data from 2821 participants: 28% were elementary school teachers, 29% middle school teachers, and 42% high school teachers. Their mean age was 36.7 ± 9 years, and 2433 (86%) were female. The mean score of the TDI knowledge of the teachers was 5.3 ± 2.1 out of 14. The ANOVA test showed that older (p < 0.01) and more experienced teachers (p < 0.01) had higher scores. Teachers in the eastern (5.46 ± 2.2) and southern (5.49 ± 2.2) provinces had higher mean scores than in the other provinces (p < 0.02). Teachers majored in natural sciences (5.4 ± 2.2) had a higher score than those in the social sciences (5.2 ± 2.1) and difference were significant (p < 0.02). The multiple regression model statistically significantly predicted a one-year increase in experience, the TDI score increased 0.034 (95% CI 0.026, 0.043) unit.

CONCLUSIONS: The knowledge regarding TDI and effective first-aid response to such injury is low in teachers in Mongolia. However, the teachers’ attitude about TDI was positive and they wanted to learn and improve their knowledge. Therefore, further education and training programs are advised.

PMID:38987725 | DOI:10.1186/s12903-024-04526-w

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Nevin Manimala Statistics

An evaluation of sample size requirements for developing risk prediction models with binary outcomes

BMC Med Res Methodol. 2024 Jul 10;24(1):146. doi: 10.1186/s12874-024-02268-5.

ABSTRACT

BACKGROUND: Risk prediction models are routinely used to assist in clinical decision making. A small sample size for model development can compromise model performance when the model is applied to new patients. For binary outcomes, the calibration slope (CS) and the mean absolute prediction error (MAPE) are two key measures on which sample size calculations for the development of risk models have been based. CS quantifies the degree of model overfitting while MAPE assesses the accuracy of individual predictions.

METHODS: Recently, two formulae were proposed to calculate the sample size required, given anticipated features of the development data such as the outcome prevalence and c-statistic, to ensure that the expectation of the CS and MAPE (over repeated samples) in models fitted using MLE will meet prespecified target values. In this article, we use a simulation study to evaluate the performance of these formulae.

RESULTS: We found that both formulae work reasonably well when the anticipated model strength is not too high (c-statistic < 0.8), regardless of the outcome prevalence. However, for higher model strengths the CS formula underestimates the sample size substantially. For example, for c-statistic = 0.85 and 0.9, the sample size needed to be increased by at least 50% and 100%, respectively, to meet the target expected CS. On the other hand, the MAPE formula tends to overestimate the sample size for high model strengths. These conclusions were more pronounced for higher prevalence than for lower prevalence. Similar results were drawn when the outcome was time to event with censoring. Given these findings, we propose a simulation-based approach, implemented in the new R package ‘samplesizedev’, to correctly estimate the sample size even for high model strengths. The software can also calculate the variability in CS and MAPE, thus allowing for assessment of model stability.

CONCLUSIONS: The calibration and MAPE formulae suggest sample sizes that are generally appropriate for use when the model strength is not too high. However, they tend to be biased for higher model strengths, which are not uncommon in clinical risk prediction studies. On those occasions, our proposed adjustments to the sample size calculations will be relevant.

PMID:38987715 | DOI:10.1186/s12874-024-02268-5

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Nevin Manimala Statistics

Diagnosing different forms of dementia now possible using artificial intelligence

Ten million new cases of dementia are diagnosed each year but the presence of different dementia forms and overlapping symptoms can complicate diagnosis and delivery of effective treatments. Now researchers have developed an AI tool that can diagnose ten different types of dementia such as vascular dementia, Lewy body dementia, and frontotemporal dementia, even if they co-occur.
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Nevin Manimala Statistics

State of South Dakota’s Child: 2023

S D Med. 2024 Jan;77(1):6-23.

ABSTRACT

In 2022, there was a decrease in births in the state with 111 fewer resident newborns than in the previous year. This represented a decrease of 1% of its white and 3.5% of its AIBO (American Indian, Black and Other) births. The 2022 birth rate per 1,000 population for the state (12.3) is higher than observed nationally (10.9) but matches its 2020 rate that was an historic low. Approximately 22% of all births in 2022 were AIBO and this percent of the state’s entire birth cohort has decreased in the past several years. The American Indian contribution to the AIBO cohort has also decreased as its racial diversity has increased. The percent of births that are low birth weight has consistently been lower in South Dakota than nationally. An increase of 16 infant deaths in 2022 from 2021 and the decreased number of births led to an increase in the infant mortality rate (IMR = deaths in first year of life per 1,000 live births) from 6.3 to 7.8, but this 2022 IMR is not statistically significantly higher than its previous five-year mean. Further, the 2022 increase in the IMR was almost entirely among white infants with the post neonatal mortality rate (PNMR = deaths between 28 and 365 days of life) decreasing between these two years for AIBO infants. Nonetheless, the state’s five year mean rates of death (2018-2022) are significantly higher for the AIBO than white infants for the neonatal (0-27 days) and post neonatal periods of the first year of life. Recently, however, the ratio of AIBO to white post neonatal mortality rate (PNMR) has decreased, but increased for the neonatal mortality rate (NMR). Infants in South Dakota are significantly more likely between 2018 and 2022 to die of congenital anomalies, sudden unexpected infant death (SUID), and accidents/homicides than in the United States in 2021. SUID remains the leading cause of post neonatal death and its risk may be decreased when babies are placed to sleep supine and alone in environments that are devoid of soft hazards.

PMID:38986144

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Nevin Manimala Statistics

Lung Cancer in South Dakota: Statistics, Early Detection, and A New Interactive Dashboard

S D Med. 2024 Jan;77(1):3.

NO ABSTRACT

PMID:38986143

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Nevin Manimala Statistics

Exclusive Human Milk Diets and the Reduction of Necrotizing Enterocolitis

Adv Neonatal Care. 2024 Jul 10. doi: 10.1097/ANC.0000000000001183. Online ahead of print.

ABSTRACT

BACKGROUND: Necrotizing enterocolitis (NEC) is common in preterm infants, especially infants less than 32 weeks gestation. Mortality from NEC is 7% and occurs in 1 out of 1000 preterm infants. Studies have shown the efficacy of an exclusive milk from mother diet in decreasing rates of NEC and associated mortality.

PURPOSE: To evaluate the effectiveness of an existing exclusive human milk diet (EHMD) protocol on the incidence of NEC in extremely premature infants. EHMD, for the purposes of this project is defined as breast milk of mother, with or without human milk-based fortifier.

METHODS: A single-center retrospective quasi-experimental study. The sample included 201 infants born less than 32 weeks gestation, weighing less than 1250 grams, small for gestational age (SGA) and with low Apgar scores. Outcomes measured included incidences of NEC, mortality, and co-morbidities in infants pre- and postinitiation of an EHMD protocol.

RESULTS: Just 4.8% of the EHMD group had a NEC diagnosis compared to 10.5% of the bovine-based (BOV) group. There was a 1% mortality rate of the EHMD group as compared to 6% in the BOV group. The EHMD group had a statistically significant greater weight gain during hospitalization as compared to infants fed BOV (P = < .05).

IMPLICATIONS FOR PRACTICE AND RESEARCH: Neonatal intensive care units should consider EHMDs for use in this infant population. Future research is needed to support dissemination of the use of EHMD as standard of practice.

PMID:38986129 | DOI:10.1097/ANC.0000000000001183