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- The laboratory test procedure to confirm rotavirus vaccine infection in severe complex immunodeficiency patients
- Su-Jin Chae, Seung-Rye Cho, Wooyoung Choi, Myung-Guk Han, Deog-Yong Lee
- Osong Public Health Res Perspect. 2021;12(4):269-273. Published online August 13, 2021
- DOI: https://doi.org/10.24171/j.phrp.2021.0079
- 4,609 View
- 87 Download
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Abstract
PDF - The rotavirus vaccine is a live vaccine, and there is a possibility of infection by the virus strain used in the vaccine. We investigated the process of determining whether an infection was caused by the vaccine strain in a severe complex immunodeficiency (SCID) patient with rotavirus infection. The patient was vaccinated with RotaTeq prior to being diagnosed with SCID. The testing process was conducted in the following order: confirming rotavirus infection, determining its genotype, and confirming the vaccine strain. Rotavirus infection was confirmed through enzyme immunoassay and VP6 gene detection. G1 and P[8] were identified by multiplex polymerase chain reaction for the genotype, and G3 was further identified using a single primer. By detecting the fingerprint gene (WC3) of RotaTeq, it was confirmed that the detected virus was the vaccine strain. Genotypes G1 and P[8] were identified, and the infection was suspected of having been caused by rotavirus G1P[8]. G1P[8] is the most commonly detected genotype worldwide and is not included in the recombinant strains used in vaccines. Therefore, the infection was confirmed to have been caused by the vaccine strain by analyzing the genetic relationship between VP4 and VP7. Rotavirus infection by the vaccine strain can be identified through genotyping and fingerprint gene detection. However, genetic linkage analysis will also help to identify vaccine strains.
Original Articles
- An Investigation into Chronic Conditions and Diseases in Minors to Determine the Socioeconomic Status, Medical Use and Expenditure According to Data from the Korea Health Panel, 2015
- Jong-Hoon Moon
- Osong Public Health Res Perspect. 2019;10(6):343-350. Published online December 31, 2019
- DOI: https://doi.org/10.24171/j.phrp.2019.10.6.04
- 5,210 View
- 140 Download
- 1 Crossref
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Abstract
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Objectives This study compared the socioeconomic status, medical use and expenditures for infants (1–5 years), juveniles (6–12 years), and adolescents (13–19 years) with a chronic condition or disease to determine factors affecting health spending.
Methods Data from 3,677 minors (< 20 years old, without disabilities) were extracted from the Korea Health Panel (2015) database.
Results Minors with chronic conditions or diseases were older (juveniles, and adolescents;
p < 0.001), and included a higher proportion of Medicaid recipients (p = 0.004), a higher use of hospital outpatient care (p < 0.001), and higher medical expenditure (p < 0.001) compared to minors without chronic conditions or diseases. Boys were more likely to have a chronic condition or disease than girls (p = 0.036). Adolescents and juveniles were more likely than infants to have a chronic condition or disease (p = 0.001). Medicaid recipients were more likely to have a chronic condition or disease than those who were not Medicaid recipients (p = 0.008). Minors who had been hospital outpatients were more likely to have a chronic condition or disease, compared with minors who had not been an outpatient (p = 0.001). Having a chronic condition or disease, was a factor increasing medical expenditure (p = 0.001). Medical expenditure was higher in infants than in juveniles and adolescents (p = 0.001). Infants had higher rates of medical use when compared with juveniles and adolescents (p = 0.001).Conclusion These findings suggest that systematic health care management for minors with chronic conditions or diseases, is needed.
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Citations
Citations to this article as recorded by
- Household income and maternal education in early childhood and activity-limiting chronic health conditions in late childhood: findings from birth cohort studies from six countries
Nicholas James Spencer, Johnny Ludvigsson, Yueyue You, Kate Francis, Yara Abu Awad, Wolfgang Markham, Tomas Faresjö, Jeremy Goldhaber-Fiebert, Pär Andersson White, Hein Raat, Fiona Mensah, Lise Gauvin, Jennifer J McGrath
Journal of Epidemiology and Community Health.2022; 76(11): 939. CrossRef
- Household income and maternal education in early childhood and activity-limiting chronic health conditions in late childhood: findings from birth cohort studies from six countries
- Prevalence and Determinants of Preterm Birth in Tehran, Iran: A Comparison between Logistic Regression and Decision Tree Methods
- Payam Amini, Saman Maroufizadeh, Reza Omani Samani, Omid Hamidi, Mahdi Sepidarkish
- Osong Public Health Res Perspect. 2017;8(3):195-200. Published online June 30, 2017
- DOI: https://doi.org/10.24171/j.phrp.2017.8.3.06
- 4,584 View
- 32 Download
- 9 Crossref
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Abstract
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Objectives Preterm birth (PTB) is a leading cause of neonatal death and the second biggest cause of death in children under five years of age. The objective of this study was to determine the prevalence of PTB and its associated factors using logistic regression and decision tree classification methods.
Methods This cross-sectional study was conducted on 4,415 pregnant women in Tehran, Iran, from July 6–21, 2015. Data were collected by a researcher-developed questionnaire through interviews with mothers and review of their medical records. To evaluate the accuracy of the logistic regression and decision tree methods, several indices such as sensitivity, specificity, and the area under the curve were used.
Results The PTB rate was 5.5% in this study. The logistic regression outperformed the decision tree for the classification of PTB based on risk factors. Logistic regression showed that multiple pregnancies, mothers with preeclampsia, and those who conceived with assisted reproductive technology had an increased risk for PTB (
p < 0.05).Conclusion Identifying and training mothers at risk as well as improving prenatal care may reduce the PTB rate. We also recommend that statisticians utilize the logistic regression model for the classification of risk groups for PTB.
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Citations
Citations to this article as recorded by- Application of data mining combined with power data in assessment and prevention of regional atmospheric pollution
Qichun Xu, Liang Ning, Tianmeng Yuan, Haotian Wu
Energy Reports.2023; 9: 3397. CrossRef - Associations Among Multimorbid Conditions in Hospitalized Middle-aged and Older Adults in China: Statistical Analysis of Medical Records
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Evangelia Christodoulou, Jie Ma, Gary S. Collins, Ewout W. Steyerberg, Jan Y. Verbakel, Ben Van Calster
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- Application of data mining combined with power data in assessment and prevention of regional atmospheric pollution
- Exposure of Infants to Aflatoxin M1 from Mother's Breast Milk in Ilam, Western Iran
- Farajollah Maleki, Soghra Abdi, Elaham Davodian, Karimeh Haghani, Salar Bakhtiyari
- Osong Public Health Res Perspect. 2015;6(5):283-287. Published online October 31, 2015
- DOI: https://doi.org/10.1016/j.phrp.2015.10.001
- 3,077 View
- 19 Download
- 33 Crossref
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Abstract
PDF
- Objectives
Aflatoxins as a highly toxic group of mycotoxins are present in the environment and foodstuff. These have been reported to cause serious health problems in humans. Since aflatoxin M1 (AFM1) is excreted into breast milk, investigating the exposure of infants to AFM1 is of special concern.
Methods
In the present study, breast milk samples were collected from 85 lactating mothers in Ilam province, Iran, and the levels of AFM1 were analyzed using the enzyme-linked immunosorbent assay-based technique. AFM1 was detected in breast milk of all lactating women. The mean contamination level was 5.91 ± 2.031 ng/L, ranging from 2 ng/L to 10 ng/L.
Results
Multiple regression analysis indicated no significant associations of consumption of milk and dairy products, meat, fish, legumes, grain products, fruits, and nuts with the concentration of AFM1 in breast milk. Furthermore, no significant association was observed between AFM1 concentration and anthropometric data of infants.
Conclusion
In western parts of Iran, lactating mothers and their infants could be at risk of aflatoxin B1 and AFM1 exposure, respectively. Therefore, in Iran, the evaluation of AFM1 in human breast milk as a biomarker for postnatal exposure of infants to this carcinogen requires more attention in different regions and various seasons. -
Citations
Citations to this article as recorded by- Determination of aflatoxin M1 and ochratoxin A in breast milk in rural centers of Yazd, Iran: Exposure assessment and risk characterization
Zeinab Rezaei, Siavash Hamzeh Pour, Parya Ezati, Fateme Akrami-Mohajeri
Mycotoxin Research.2024;[Epub] CrossRef - Evaluation of Aflatoxins Occurrence and Exposure in Cereal-Based Baby Foods: An Update Review
Yasemin Açar, Gamze Akbulut
Current Nutrition Reports.2024; 13(1): 59. CrossRef - Risk of exposure to aflatoxin M1 through consumption of cow’s milk among children in Magadu, Morogoro
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Toxins.2022; 14(7): 435. CrossRef - Effects of stem cells and amniotic fluid on uterus and ovaries in a rat model of abdominal adhesions: a controlled study
Elif Ganime Aygün, Gamze Tümentemur
Journal of the Turkish-German Gynecological Associ.2022; 23(3): 154. CrossRef - Effects of aflatoxin B1 on human breast cancer (MCF-7) cells: cytotoxicity, oxidative damage, metabolic, and immune-modulatory transcriptomic changes
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