Porjai Pattanittum
Khon Kaen University
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Publication
Featured researches published by Porjai Pattanittum.
BMC Pregnancy and Childbirth | 2009
Mario Festin; Malinee Laopaiboon; Porjai Pattanittum; Melissa R Ewens; David J Henderson‐Smart; Caroline A Crowther
BackgroundCaesarean section is a commonly performed operation on women that is globally increasing in prevalence each year. There is a large variation in the rates of caesarean, both in high and low income countries, as well as between different institutions within these countries. This audit aimed to report rates and reasons for caesarean and associated clinical care practices amongst nine hospitals in the four South East Asian countries participating in the South East Asia-Optimising Reproductive and Child Health in Developing countries (SEA-ORCHID) project.MethodsData on caesarean rates, care practices and health outcomes were collected from the medical records of the 9550 women and their 9665 infants admitted to the nine participating hospitals across South East Asia between January and December 2005.ResultsOverall 27% of women had a caesarean section, with rates varying from 19% to 35% between countries and 12% to 39% between hospitals within countries. The most common indications for caesarean were previous caesarean (7.0%), cephalopelvic disproportion (6.3%), malpresentation (4.7%) and fetal distress (3.3%). Neonatal resuscitation rates ranged from 7% to 60% between countries. Prophylactic antibiotics were almost universally given but variations in timing occurred between countries and between hospitals within countries.ConclusionRates and reasons for caesarean section and associated clinical care practices and health outcomes varied widely between the four South East Asian countries.
BMC Pregnancy and Childbirth | 2008
Porjai Pattanittum; Melissa R Ewens; Malinee Laopaiboon; Pisake Lumbiganon; Steven McDonald; Caroline A Crowther
BackgroundThere is strong evidence supporting the use of antenatal corticosteroids in women at risk of preterm birth to promote fetal lung maturation and reduce neonatal mortality and morbidity. This audit aimed to assess the use of antenatal corticosteroids prior to preterm birth in the nine hospitals in four South East Asian countries participating in the South East Asia Optimising Reproductive Health in Developing Countries (SEA-ORCHID) Project.MethodWe reviewed the medical records of 9550 women (9665 infants including 111 twins and two triplets) admitted to the labour wards of nine hospitals in four South East Asian countries during 2005. For women who gave birth before 34 weeks gestation we collected information on womens demographic and pregnancy background, the type, dose and use of corticosteroids, and key birth and infant outcomes.ResultsAdministration of antenatal corticosteroids to women who gave birth before 34 weeks gestation varied widely between countries (9% to 73%) and also between hospitals within countries (0% to 86%). Antenatal corticosteroids were most commonly given when women were between 28 and 34 weeks gestation (80%). Overall 6% of women received repeat doses of corticosteroids. Dexamethasone was the only type of antenatal corticosteroid used.Women receiving antenatal corticosteroids compared with those not given antenatal corticosteroids were less likely to have had a previous pregnancy and to be booked for birth at the hospital and almost three times as likely to have a current multiple pregnancy. Exposed women were less likely to be induced and almost twice as likely to have a caesarean section, a primary postpartum haemorrhage and postpartum pyrexia.Infants exposed to antenatal corticosteroids compared with infants not exposed were less likely to die. Live born exposed infants were less likely to have Apgar scores of < 7 at five minutes and less likely to have any lung disease.ConclusionIn this survey the use of antenatal corticosteroids prior to preterm birth varied between countries and hospitals. Evaluation of the enablers and barriers to the uptake of this effective antenatal intervention at individual hospitals is needed.
PLOS ONE | 2012
Porjai Pattanittum; Malinee Laopaiboon; David Moher; Pisake Lumbiganon; Chetta Ngamjarus
Background Systematic reviews (SRs) can provide accurate and reliable evidence, typically about the effectiveness of health interventions. Evidence is dynamic, and if SRs are out-of-date this information may not be useful; it may even be harmful. This study aimed to compare five statistical methods to identify out-of-date SRs. Methods A retrospective cohort of SRs registered in the Cochrane Pregnancy and Childbirth Group (CPCG), published between 2008 and 2010, were considered for inclusion. For each eligible CPCG review, data were extracted and “3-years previous” meta-analyses were assessed for the need to update, given the data from the most recent 3 years. Each of the five statistical methods was used, with random effects analyses throughout the study. Results Eighty reviews were included in this study; most were in the area of induction of labour. The numbers of reviews identified as being out-of-date using the Ottawa, recursive cumulative meta-analysis (CMA), and Barrowman methods were 34, 7, and 7 respectively. No reviews were identified as being out-of-date using the simulation-based power method, or the CMA for sufficiency and stability method. The overall agreement among the three discriminating statistical methods was slight (Kappa = 0.14; 95% CI 0.05 to 0.23). The recursive cumulative meta-analysis, Ottawa, and Barrowman methods were practical according to the study criteria. Conclusion Our study shows that three practical statistical methods could be applied to examine the need to update SRs.
International Journal of Gynecology & Obstetrics | 2010
Jacqueline J Ho; Porjai Pattanittum; Robert P. Japaraj; Tari Turner; Ussanee Swadpanich; Caroline A Crowther
To examine episiotomy practices before and after a multi‐component intervention designed to support the use and generation of research evidence in maternal and neonatal health care.
BMC Neurology | 2018
Nampet Jampathong; Malinee Laopaiboon; Siwanon Rattanakanokchai; Porjai Pattanittum
BackgroundPrognostic models have been increasingly developed to predict complete recovery in ischemic stroke. However, questions arise about the performance characteristics of these models. The aim of this study was to systematically review and synthesize performance of existing prognostic models for complete recovery in ischemic stroke.MethodsWe searched journal publications indexed in PUBMED, SCOPUS, CENTRAL, ISI Web of Science and OVID MEDLINE from inception until 4 December, 2017, for studies designed to develop and/or validate prognostic models for predicting complete recovery in ischemic stroke patients. Two reviewers independently examined titles and abstracts, and assessed whether each study met the pre-defined inclusion criteria and also independently extracted information about model development and performance. We evaluated validation of the models by medians of the area under the receiver operating characteristic curve (AUC) or c-statistic and calibration performance. We used a random-effects meta-analysis to pool AUC values.ResultsWe included 10 studies with 23 models developed from elderly patients with a moderately severe ischemic stroke, mainly in three high income countries. Sample sizes for each study ranged from 75 to 4441. Logistic regression was the only analytical strategy used to develop the models. The number of various predictors varied from one to 11. Internal validation was performed in 12 models with a median AUC of 0.80 (95% CI 0.73 to 0.84). One model reported good calibration. Nine models reported external validation with a median AUC of 0.80 (95% CI 0.76 to 0.82). Four models showed good discrimination and calibration on external validation. The pooled AUC of the two validation models of the same developed model was 0.78 (95% CI 0.71 to 0.85).ConclusionsThe performance of the 23 models found in the systematic review varied from fair to good in terms of internal and external validation. Further models should be developed with internal and external validation in low and middle income countries.
Cochrane Database of Systematic Reviews | 2013
Porjai Pattanittum; Tari Turner; Sally Green; Rachelle Buchbinder
Cochrane Database of Systematic Reviews | 2012
Supat Sinawat; Pranom Buppasiri; Pisake Lumbiganon; Porjai Pattanittum
Cochrane Database of Systematic Reviews | 2012
Bussarin Khianman; Porjai Pattanittum; Jadsada Thinkhamrop; Pisake Lumbiganon
Cochrane Database of Systematic Reviews | 2016
Pramote Euasobhon; Sukanya Dej-arkom; Arunotai Siriussawakul; Saipin Muangman; Wimonrat Sriraj; Porjai Pattanittum; Pisake Lumbiganon
Cochrane Database of Systematic Reviews | 2016
Porjai Pattanittum; Naowarat Kunyanone; Julie Brown; Ussanee S Sangkomkamhang; Joanne Barnes; Vahid Seyfoddin; Jane Marjoribanks