Category: Statistics

PLoS One. 2022 Jun 3;17(6):e0269393. doi: 10.1371/journal.pone.0269393. eCollection 2022.

ABSTRACT

To investigate impression formation, researchers tend to rely on statements that describe a person’s behavior (e.g., “Alex ridicules people behind their backs”). These statements are presented to participants who then rate their impressions of the person. However, a corpus of behavior statements is costly to generate, and pre-existing corpora may be outdated and might not measure the dimension(s) of interest. The present study makes available a normed corpus of 160 contemporary behavior statements that were rated on 4 dimensions relevant to impression formation: morality, competence, informativeness, and believability. In addition, we show that the different dimensions are non-independent, exhibiting a range of linear and non-linear relationships, which may present a problem for past research. However, researchers interested in impression formation can control for these relationships (e.g., statistically) using the present corpus of behavior statements.

PMID:35657992 | DOI:10.1371/journal.pone.0269393

PLoS One. 2022 Jun 3;17(6):e0269450. doi: 10.1371/journal.pone.0269450. eCollection 2022.

ABSTRACT

This study suggested a new four-parameter Exponentiated Odd Lomax Exponential (EOLE) distribution by compounding an exponentiated odd function with Lomax distribution as a generator. The proposed model is unimodal and positively skewed whereas the hazard rate function is monotonically increasing and inverted bathtubs. Some important properties of the new distribution are derived such as quintile function and median; asymptotic properties and mode; moments; mean residual life, mean path time; mean deviation; order statistics; and Bonferroni & Lorenz curve. The value of the parameters is obtained from the maximum likelihood estimation, least-square estimation, and Cramér-Von-Mises methods. Here, a simulation study and two real data sets, “the number of deaths per day due to COVID-19 of the first wave in Nepal” and ”failure stresses (In Gpa) of single carbon fibers of lengths 50 mm”, have been applied to validate the different theoretical findings. The finding of an order of COVID-19 deaths in 153 days in Nepal obey the proposed distribution, it has a significantly positive relationship between the predictive test positive rate and the predictive number of deaths per day. Therefore, the intended model is an alternative model for survival data and lifetime data analysis.

PMID:35657989 | DOI:10.1371/journal.pone.0269450

PLoS One. 2022 Jun 3;17(6):e0269473. doi: 10.1371/journal.pone.0269473. eCollection 2022.

ABSTRACT

OBJECTIVE OF THE STUDY: The objective of this study was to identify determinants of syphilis infection among pregnant women attending antenatal care in hospitals in the Wolaita zone, Southern Ethiopia,2020.

METHODS: An unmatched facility-based case-control study was conducted among pregnant women who received antenatal care at four randomly selected hospitals from September 1 to October 30, 2020. A two-stage sampling technique was used in the selection of hospitals and study participants. The data were collected from the participants using a pre-tested structured questionnaire and analyzed using STATA Release 15. Bivariate and multivariate logistic regression analyses were used to determine syphilis infection determinants. Crude and adjusted odds ratios were used for each explanatory variable with a 95% confidence level. A statistically significant association was declared when a p-value was less than 0.05.

RESULTS: A total of 296 (74 cases and 222 controls) pregnant women participated, with a recruitment rate of 97.4%. In multivariate logistic regression, the likelihood of developing a maternal syphilis infection was higher in pregnant women who had more than one-lifetime sexual partner [AOR = 3.59, 95% CI (1.09-11.71)]; a history of sexually transmitted infections [AOR = 3.46, 95%CI (1.32-9.08)] and used a substance [AOR = 3.39, 95%CI (1.31-8.77)].

CONCLUSION: Sexual-related factors continued to be a major determinant of syphilis in pregnant women. The results suggest that there is a need to promote safe sexual behavior, raise awareness about the risk of STIs, and early diagnosis and treatment of STIs to control syphilis infection, and necessary to make the antenatal care service comprehensive for pregnant women.

PMID:35657978 | DOI:10.1371/journal.pone.0269473

Lab Med. 2022 Jun 3:lmac053. doi: 10.1093/labmed/lmac053. Online ahead of print.

ABSTRACT

OBJECTIVE: Several biomarkers have been reported to exhibit a seasonal variation, which might also be associated with the seasonality observed for certain disorders, such as cardiovascular disease. Ferritin is a marker of iron stores but may be influenced by other factors including inflammation. The aim of this study was to determine whether there is a seasonal variation for plasma ferritin.

METHODS: The study included all ferritin tests performed on blood donors between November 2009 and November 2016 in the county of Uppsala, Sweden.

RESULTS: Median ferritin values were found to be highest in August to October (autumn) and lowest in April to May and December. The differences between the highest and lowest median values were 6 µg/L for males and 5 µg/L for females. This corresponds to approximately 12% difference for males and 15% difference for females.

CONCLUSION: A modest but statistically significant seasonal periodicity for ferritin was shown for blood donors.

PMID:35657988 | DOI:10.1093/labmed/lmac053

PLoS One. 2022 Jun 3;17(6):e0268690. doi: 10.1371/journal.pone.0268690. eCollection 2022.

ABSTRACT

BACKGROUND: Closure of a patent foramen ovale reduces the risk of recurrent stroke compared with medical therapy alone in young patients with cryptogenic strokes revealed by randomized control trials. Some cost-effectiveness analyses outside Japan have shown that patent foramen ovale closure is cost-effective, but no studies have examined cost-effectiveness in Japan. The objective of this study is to assess cost-effectiveness, from the perspective of a Japanese healthcare payer, of patent foramen ovale closure versus medical therapy alone for patients with patent foramen ovale related to cryptogenic strokes.

METHODS: A cost-effectiveness study was conducted by developing a decision tree and a Markov model. Probabilities and a 5.9-year time horizon followed the RESPECT study. Utilities and costs were based upon published studies and assumptions. All assumptions were assessed by experts, including a cardiologist and a statistical expert. The target population comprised patients with cryptogenic stroke and patent foramen ovale, aged 60 years or younger. The model was discounted at 2.0% and its cycle was one month. A willingness-to-pay threshold is set at $50,000 / quality-adjusted life years (QALYs). Incremental cost-effectiveness ratio was evaluated. Then one-way sensitivity analyses as deterministic sensitivity analysis, and probabilistic sensitivity analyses were performed to assess data robustness.

RESULTS: Incremental quality-adjusted life years, incremental costs, and incremental cost-effectiveness ratio were 0.464, $13,562, and $29,208 per QALY gained, respectively. One-way sensitivity analysis showed that the stable state utility score difference between patent foramen ovale closure and medical therapy had the largest impact on incremental cost-effectiveness ratio. Patent foramen ovale closure is cost-effective at a stable state utility score difference of >0.051, compared with medical therapy. Probabilistic sensitivity analyses demonstrated that patent foramen ovale closure was 50.3% cost-effective.

CONCLUSIONS: Patent foramen ovale closure was cost-effective compared with medical therapy for Japanese patients with cryptogenic stroke who were ≤60 years.

PMID:35657973 | DOI:10.1371/journal.pone.0268690

PLoS One. 2022 Jun 3;17(6):e0269546. doi: 10.1371/journal.pone.0269546. eCollection 2022.

ABSTRACT

BACKGROUND: Service availability and readiness are critical for the delivery of quality and essential health care services. In Ghana, there is paucity of literature that describes general service readiness (GSR) of primary health care (PHC) facilities within the national context. This study therefore assessed the GSR of PHC facilities in Ghana to provide evidence to inform heath policy and drive action towards reducing health inequities.

METHODS: We analysed data from 140 Service Delivery Points (SDPs) that were part of the Performance Monitoring and Accountability 2020 survey (PMA2020). GSR was computed using the Service Availability and Readiness Assessment (SARA) manual based on four out of five components. Descriptive statistics were computed for both continuous and categorical variables. A multivariable binary logistic regression model was fitted to assess predictors of scoring above the mean GSR. Analyses were performed using Stata version 16.0. Significance level was set at p<0.05.

RESULTS: The average GSR index of SDPs in this study was 83.4%. Specifically, the mean GSR of hospitals was 92.8%, whereas health centres/clinics and CHPS compounds scored 78.0% and 64.3% respectively. The least average scores were observed in the essential medicines and standard precautions for infection prevention categories. We found significant sub-national, urban-rural and facility-related disparities in GSR. Compared to the Greater Accra Region, SDPs in the Eastern, Western, Upper East and Upper West Regions had significantly reduced odds of scoring above the overall GSR. Majority of SDPs with GSR below the average were from rural areas.

CONCLUSION: Overall, GSR among SDPs is appreciable as compared to other settings. The study highlights the existence of regional, urban-rural and facility-related differences in GSR of SDPs. The reality of health inequities has crucial policy implications which need to be addressed urgently to fast-track progress towards the achievement of the SDGs and UHC targets by 2030.

PMID:35657970 | DOI:10.1371/journal.pone.0269546

PLoS One. 2022 Jun 3;17(6):e0269497. doi: 10.1371/journal.pone.0269497. eCollection 2022.

ABSTRACT

Hierarchical modelling is essential to achieving complex, large-scale models. However, not all modelling schemes support hierarchical composition, and correctly mapping points of connection between models requires comprehensive knowledge of each model’s components and assumptions. To address these challenges in integrating biosimulation models, we propose an approach to automatically and confidently compose biosimulation models. The approach uses bond graphs to combine aspects of physical and thermodynamics-based modelling with biological semantics. We improved on existing approaches by using semantic annotations to automate the recognition of common components. The approach is illustrated by coupling a model of the Ras-MAPK cascade to a model of the upstream activation of EGFR. Through this methodology, we aim to assist researchers and modellers in readily having access to more comprehensive biological systems models.

PMID:35657966 | DOI:10.1371/journal.pone.0269497

Optom Vis Sci. 2022 Jun 1;99(6):540-543. doi: 10.1097/OPX.0000000000001887. Epub 2022 Feb 25.

ABSTRACT

SIGNIFICANCE: We demonstrate the clinical correlation between the vitamin A level with chalazion in East Chinese children. Vitamin A deficiency is likely to be a potential cause of childhood chalazion.

PURPOSE: Chalazion is the most common lid inflammatory lesion of the eyelid, which can be caused by retention of tarsal gland secretions. Studies have revealed that vitamin deficiency is an essential risk factor for children with chalazion. In this study, we measured the serum levels of vitamin A and 25-hydroxyvitamin D (25(OH)D), in patients with chalazion.

METHODS: The study included 180 subjects (90 patients with chalazion and 90 control healthy subjects) with an average age of 4.13 ± 2.01 years, and 47.8% of whom were female. Serums came from blood samples collected and used to measure the levels of vitamin A and 25(OH)D.

RESULTS: Both groups had statistically similar baseline characteristics, including age and body mass index. The average serum vitamin A levels in patients with chalazion (0.54 ± 0.15 μmol/L) were significantly lower than in their control counterparts (0.60 ± 0.15 μmol/L; P = .01). There was no significant difference in the serum 25(OH)D levels between the patients (70.15 ± 19.73 nmol/L) and control subjects (71.64 ± 24.46 nmol/L). The percentage of vitamin A deficiency in chalazion group (52.2%) was much higher than the control counterparts (28.6%; P = .001). The percentage of 25(OH)D deficiency showed no significant difference between patients with chalazion and control subjects (58.9 vs. 56.7%).

CONCLUSIONS: Low serum vitamin A was significantly associated with chalazion in children. The serum 25(OH)D level exhibited no correlation with chalazion.

PMID:35657678 | DOI:10.1097/OPX.0000000000001887

Ophthalmic Plast Reconstr Surg. 2022 Jun 3. doi: 10.1097/IOP.0000000000002218. Online ahead of print.

ABSTRACT

PURPOSE: The aim of this study was to monitor how the blood perfusion in human upper eyelids is affected during full-thickness blepharotomy.

METHODS: Seven eyelids in 5 patients with upper eyelid retraction due to Graves’ disease underwent full-thickness blepharotomy. Perfusion was measured using laser speckle contrast imaging in the eyelid margin and in the conjunctival pedicle.

RESULTS: Immediately following the procedure, a nonsignificant reduction in perfusion was observed in the skin of the pretarsal eyelid margin, being 66% of the initial value (p = n.s.). However, a statistically significant decrease in perfusion, to 53% of the initial value (p < 0.01), was seen in the central pedicle of the conjunctiva. There were no surgical complications such as infection, signs of ischemia, or bleeding.

CONCLUSIONS: In this study, eyelid perfusion was mapped during full-thickness blepharotomy for the first time using laser speckle contrast imaging. The results showed that perfusion is sufficiently preserved during surgery, probably due to the rich vascular supply in the periocular region, which may explain the low risk of postoperative complications such as ischemia and infection.

PMID:35657677 | DOI:10.1097/IOP.0000000000002218

J Med Internet Res. 2022 Jun 3;24(6):e37213. doi: 10.2196/37213.

ABSTRACT

BACKGROUND: Phenotype information in electronic health records (EHRs) is mainly recorded in unstructured free text, which cannot be directly used for clinical research. EHR-based deep-phenotyping methods can structure phenotype information in EHRs with high fidelity, making it the focus of medical informatics. However, developing a deep-phenotyping method for non-English EHRs (ie, Chinese EHRs) is challenging. Although numerous EHR resources exist in China, fine-grained annotation data that are suitable for developing deep-phenotyping methods are limited. It is challenging to develop a deep-phenotyping method for Chinese EHRs in such a low-resource scenario.

OBJECTIVE: In this study, we aimed to develop a deep-phenotyping method with good generalization ability for Chinese EHRs based on limited fine-grained annotation data.

METHODS: The core of the methodology was to identify linguistic patterns of phenotype descriptions in Chinese EHRs with a sequence motif discovery tool and perform deep phenotyping of Chinese EHRs by recognizing linguistic patterns in free text. Specifically, 1000 Chinese EHRs were manually annotated based on a fine-grained information model, PhenoSSU (Semantic Structured Unit of Phenotypes). The annotation data set was randomly divided into a training set (n=700, 70%) and a testing set (n=300, 30%). The process for mining linguistic patterns was divided into three steps. First, free text in the training set was encoded as single-letter sequences (P: phenotype, A: attribute). Second, a biological sequence analysis tool-MEME (Multiple Expectation Maximums for Motif Elicitation)-was used to identify motifs in the single-letter sequences. Finally, the identified motifs were reduced to a series of regular expressions representing linguistic patterns of PhenoSSU instances in Chinese EHRs. Based on the discovered linguistic patterns, we developed a deep-phenotyping method for Chinese EHRs, including a deep learning-based method for named entity recognition and a pattern recognition-based method for attribute prediction.

RESULTS: In total, 51 sequence motifs with statistical significance were mined from 700 Chinese EHRs in the training set and were combined into six regular expressions. It was found that these six regular expressions could be learned from a mean of 134 (SD 9.7) annotated EHRs in the training set. The deep-phenotyping algorithm for Chinese EHRs could recognize PhenoSSU instances with an overall accuracy of 0.844 on the test set. For the subtask of entity recognition, the algorithm achieved an F1 score of 0.898 with the Bidirectional Encoder Representations from Transformers-bidirectional long short-term memory and conditional random field model; for the subtask of attribute prediction, the algorithm achieved a weighted accuracy of 0.940 with the linguistic pattern-based method.

CONCLUSIONS: We developed a simple but effective strategy to perform deep phenotyping of Chinese EHRs with limited fine-grained annotation data. Our work will promote the second use of Chinese EHRs and give inspiration to other non-English-speaking countries.

PMID:35657661 | DOI:10.2196/37213