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Second twin outcome at birth: retrospective analysis in a single tertiary centre in Malaysia

Rahman RA, Mohammed Nawi A, Ishak S, Balaraman K, Abu MA, Abd Azman SH, et al.

J Perinat Med, 2024 May 27;52(4):385-391.
PMID: 38511669 DOI: 10.1515/jpm-2023-0449

OBJECTIVES: To investigate factors associated with outcome of second twin during labour.
METHODS: The study was a retrospective cohort study in a single tertiary centre in Malaysia from 2014 until 2018 involving all twin pregnancies delivered at or more than 24 weeks of gestation.
RESULTS: Total of 409 twin pregnancies were included. Dichorionic twin comprises of 54.5 % (n=223) and 45.5 % (n=186) are monochorionic. Women with dichorionic pregnancies are significantly older (p<0.001), have more pre-existing medical disorders (p=0.011) and fetal structural anomalies (p=0.009). Monochorionic pregnancies are significantly more amongst Malay (p=0.01) and conceived spontaneously (p<0.001). There are significantly more fetuses both in cephalic presentation (p=0.026), birthweight discrepancy more than 20 % (p=0.038) and shorter mean inter-twin delivery duration (p=0.048) in monochorionic pregnancies. Second twin delivered with Apgar score <7 is significantly more in dichorionic pregnancies (p=0.006). The second twin is associated with lower birthweight, small for gestational age and arterial cord pH<7.25. Within the group of women who delivered both fetuses vaginally, there was significantly more second twins with intertwin delivery duration less than 30 min who were delivered vaginally without instrumentation (p=0.018). There was significantly more second twin with intertwin delivery duration of 30 min and more with arterial cord pH<7.25 (p=0.045). Those who delivered spontaneously had inter-twin delivery duration within 15-29 min. The outcome of second twin is not influenced by type of twin, gestational age at delivery, inter-twin delivery duration, mode of delivery and presentation at birth.
CONCLUSIONS: The neonatal outcome for the second twin at birth is not influenced by type of twin, gestational age at delivery, inter-twin delivery duration, mode of delivery and presentation at birth in a cohort managed with non-active management of the second twin in Malaysia.
Fulltext Clinical and economic impact of medication administration errors among neonates in neonatal intensive care units

Henry Basil J, Mohd Tahir NA, Menon Premakumar C, Mhd Ali A, Seman Z, Ishak S, et al.

PLoS One, 2024;19(7):e0305538.
PMID: 38990851 DOI: 10.1371/journal.pone.0305538

Despite efforts in improving medication safety, medication administration errors are still common, resulting in significant clinical and economic impact. Studies conducted using a valid and reliable tool to assess clinical impact are lacking, and to the best of our knowledge, studies evaluating the economic impact of medication administration errors among neonates are not yet available. Therefore, this study aimed to determine the potential clinical and economic impact of medication administration errors in neonatal intensive care units and identify the factors associated with these errors. A national level, multi centre, prospective direct observational study was conducted in the neonatal intensive care units of five Malaysian public hospitals. The nurses preparing and administering the medications were directly observed. After the data were collected, two clinical pharmacists conducted independent assessments to identify errors. An expert panel of healthcare professionals assessed each medication administration error for its potential clinical and economic outcome. A validated visual analogue scale was used to ascertain the potential clinical outcome. The mean severity index for each error was subsequently calculated. The potential economic impact of each error was determined by averaging each expert's input. Multinomial logistic regression and multiple linear regression were used to identify factors associated with the severity and cost of the errors, respectively. A total of 1,018 out of 1,288 (79.0%) errors were found to be potentially moderate in severity, while only 30 (2.3%) were found to be potentially severe. The potential economic impact was estimated at USD 27,452.10. Factors significantly associated with severe medication administration errors were the medications administered intravenously, the presence of high-alert medications, unavailability of a protocol, and younger neonates. Moreover, factors significantly associated with moderately severe errors were intravenous medication administration, younger neonates, and an increased number of medications administered. In the multiple linear regression analysis, the independent variables found to be significantly associated with cost were the intravenous route of administration and the use of high-alert medications. In conclusion, medication administration errors were judged to be mainly moderate in severity costing USD 14.04 (2.22-22.53) per error. This study revealed important insights and highlights the need to implement effective error reducing strategies to improve patient safety among neonates in the neonatal intensive care unit.
Machine learning-based risk prediction model for medication administration errors in neonatal intensive care units: A prospective direct observational study

Henry Basil J, Lim WH, Syed Ahmad SM, Menon Premakumar C, Mohd Tahir NA, Mhd Ali A, et al.

Digit Health, 2024;10:20552076241286434.
PMID: 39430694 DOI: 10.1177/20552076241286434

OBJECTIVE: Neonates' physiological immaturity and complex dosing requirements heighten their susceptibility to medication administration errors (MAEs), with the potential for severe harm and substantial economic impact on healthcare systems. Developing an effective risk prediction model for MAEs is crucial to reduce and prevent harm.
METHODS: This national-level, multicentre, prospective direct observational study was conducted in neonatal intensive care units (NICUs) of five public hospitals in Malaysia. Randomly selected nurses were directly observed during medication preparation and administration. Each observation was independently assessed for errors. Ten machine learning (ML) algorithms were applied with features derived from systematic reviews, incident reports, and expert consensus. Model performance, prioritising F1-score for MAEs, was evaluated using various measures. Feature importance was determined using the permutation-feature importance for robust comparison across ML algorithms.
RESULTS: A total of 1093 doses were administered to 170 neonates, with mean age and birth weight of 33.43 (SD ± 5.13) weeks and 1.94 (SD ± 0.95) kg, respectively. F1-scores for the ten models ranged from 76.15% to 83.28%. Adaptive boosting (AdaBoost) emerged as the best-performing model (F1-score: 83.28%, accuracy: 77.63%, area under the receiver operating characteristic: 82.95%, precision: 84.72%, sensitivity: 81.88% and negative predictive value: 64.00%). The most influential features in AdaBoost were the intravenous route of administration, working hours, and nursing experience.
CONCLUSIONS: This study developed and validated an ML-based model to predict the presence of MAEs among neonates in NICUs. AdaBoost was identified as the best-performing algorithm. Utilising the model's predictions, healthcare providers can potentially reduce MAE occurrence through timely interventions.
Assessing the efficacy of tocotrienol-rich fraction vitamin E in obese children with non-alcoholic fatty liver disease: a single-blind, randomized clinical trial

Al-Baiaty FDR, Ishak S, Mohd Zaki F, Masra F, Abdul Aziz DA, Wan Md Zin WN, et al.

BMC Pediatr, 2024 Aug 20;24(1):529.
PMID: 39160468 DOI: 10.1186/s12887-024-04993-8

BACKGROUND: Childhood obesity is a growing concern, and non-alcoholic fatty liver disease (NAFLD) is a significant consequence. Currently, there are no approved drugs to treat NAFLD in children. However, a recent study explored the potential of vitamin E enriched with tocotrienol (TRF) as a powerful antioxidant for NAFLD. The aims of the present study were to investigate the effectiveness and safety of TRF in managing children with obesity and NAFLD.
METHODS: A total of 29 patients aged 10 to 18 received a daily oral dose of 50 mg TRF for six months (January 2020 to February 2022), and all had fatty liver disease were detected by ultrasonography and abnormally high alanine transaminase levels (at least two-fold higher than the upper limits for their respective genders). Various parameters, including biochemical markers, FibroScan, LiverFASt, DNA damage, and cytokine expression, were monitored.
RESULTS: APO-A1 and AST levels decreased significantly from 1.39 ± 0.3 to 1.22 ± 0.2 g/L (P = 0.002) and from 30 ± 12 to 22 ± 10 g/L (P = 0.038), respectively, in the TRF group post-intervention. Hepatic steatosis was significantly reduced in the placebo group from 309.38 ± 53.60 db/m to 277.62 ± 39.55 db/m (p = 0.048), but not in the TRF group. Comet assay analysis showed a significant reduction in the DNA damage parameters in the TRF group in the post-intervention period compared to the baseline, with tail length decreasing from 28.34 ± 10.9 to 21.69 ± 9.84; (p = 0.049) and with tail DNA (%) decreasing from 54.13 ± 22.1to 46.23 ± 17.9; (p = 0.043). Pro-inflammatory cytokine expression levels were significantly lower in the TRF group compared to baseline levels for IL-6 (2.10 6.3 to 0.7 1.0 pg/mL; p = 0.047 pg/mL) and TNF-1 (1.73 5.5 pg/mL to 0.7 0.5 pg/mL; p = 0.045).
CONCLUSION: The study provides evidence that TRF supplementation may offer a risk-free treatment option for children with obesity and NAFLD. The antioxidant and anti-inflammatory properties of TRF offer a promising adjuvant therapy for NAFLD treatment. In combination with lifestyle modifications such as exercise and calorie restriction, TRF could play an essential role in the prevention of NAFLD in the future. However, further studies are needed to explore the long-term effects of TRF supplementation on NAFLD in children.
TRIAL REGISTRATION: The study has been registered with the International Clinical Trial Registry under reference number (NCT05905185) retrospective registration on (15/06/2023).