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  1. Kariminia A, Durier N, Jourdain G, Saghayam S, Do CV, Nguyen LV, et al.
    J Acquir Immune Defic Syndr, 2014 Sep 01;67(1):71-6.
    PMID: 24872132 DOI: 10.1097/QAI.0000000000000227
    OBJECTIVE: To evaluate the value of time-updated weight and height in predicting clinical progression, and immunological and virological failure in children receiving combination antiretroviral therapy (cART).

    METHODS: We used Cox regression to analyze data of a cohort of Asian children.

    RESULTS: A total of 2608 children were included; median age at cART was 5.7 years. Time-updated weight for age z score < -3 was associated with mortality (P < 0.001) independent of CD4% and < -2 was associated with immunological failure (P ≤ 0.03) independent of age at cART.

    CONCLUSIONS: Weight monitoring provides useful data to inform clinical management of children on cART in resource-limited settings.

  2. El Shahed AI, Branson HM, Chacko A, Terumalay S, Zheng X, Pang EW, et al.
    Early Hum Dev, 2025 Jan 02;201:106189.
    PMID: 39787883 DOI: 10.1016/j.earlhumdev.2024.106189
    OBJECTIVES: To build an early, prognostic model for adverse outcome in infants with hypoxic ischemic encephalopathy (HIE) receiving therapeutic hypothermia (TH) based on brain magnetic resonance images (MRI), electrophysiological tests and clinical assessments were performed during the first 5 days of life.

    METHODS: Retrospective study of 182 neonates with HIE and managed with TH. The predominant pattern of HIE brain injury on MRI performed following cooling was scored by neuroradiologists. The electroencephalogram (EEG) background and evoked potential (EP) response, were analyzed. Area under the curve (AUC) of these tools for adverse outcome including death and/or moderate disabilities using the Bayley-III at 36 months were calculated. A stepwise model approach was used to reach the final most efficient predictive model.

    RESULTS: Of 182 neonates, 99 were male (54.4 %), with median gestational age of 39 weeks (IQR 38-40) and median weight of 3.3 kg (IQR 2.9-3.7). On admission, 47 (26 %), 104 (57 %) and 31(17 %) neonates presented with mild, moderate and severe encephalopathy respectively. In multivariate analysis of 129 infants who received all prognostic modalities, the predictive value of a model of EEG plus MRI, AUC = 84 %) is equivalent to models of EEG plus MRI with added EP and clinical assessment at discharge (AUC = 84 and 85 % respectively).

    CONCLUSION: In the era of cooling for neonatal HIE, the combination of EEG background and MRI during the first few days of life, provide an objective and highly reliable model for prediction of death and long-term disabilities.

  3. Rosenberger KD, Phung Khanh L, Tobian F, Chanpheaktra N, Kumar V, Lum LCS, et al.
    Lancet Glob Health, 2023 Mar;11(3):e361-e372.
    PMID: 36796983 DOI: 10.1016/S2214-109X(22)00514-9
    BACKGROUND: Improvements in the early diagnosis of dengue are urgently needed, especially in resource-limited settings where the distinction between dengue and other febrile illnesses is crucial for patient management.

    METHODS: In this prospective, observational study (IDAMS), we included patients aged 5 years and older with undifferentiated fever at presentation from 26 outpatient facilities in eight countries (Bangladesh, Brazil, Cambodia, El Salvador, Indonesia, Malaysia, Venezuela, and Viet Nam). We used multivariable logistic regression to investigate the association between clinical symptoms and laboratory tests with dengue versus other febrile illnesses between day 2 and day 5 after onset of fever (ie, illness days). We built a set of candidate regression models including clinical and laboratory variables to reflect the need of a comprehensive versus parsimonious approach. We assessed performance of these models via standard measures of diagnostic values.

    FINDINGS: Between Oct 18, 2011, and Aug 4, 2016, we recruited 7428 patients, of whom 2694 (36%) were diagnosed with laboratory-confirmed dengue and 2495 (34%) with (non-dengue) other febrile illnesses and met inclusion criteria, and were included in the analysis. 2703 (52%) of 5189 included patients were younger than 15 years, 2486 (48%) were aged 15 years or older, 2179 (42%) were female and 3010 (58%) were male. Platelet count, white blood cell count, and the change in these variables from the previous day of illness had a strong association with dengue. Cough and rhinitis had strong associations with other febrile illnesses, whereas bleeding, anorexia, and skin flush were generally associated with dengue. Model performance increased between day 2 and 5 of illness. The comprehensive model (18 clinical and laboratory predictors) had sensitivities of 0·80 to 0·87 and specificities of 0·80 to 0·91, whereas the parsimonious model (eight clinical and laboratory predictors) had sensitivities of 0·80 to 0·88 and specificities of 0·81 to 0·89. A model that includes laboratory markers that are easy to measure (eg, platelet count or white blood cell count) outperformed the models based on clinical variables only.

    INTERPRETATION: Our results confirm the important role of platelet and white blood cell counts in diagnosing dengue, and the importance of serial measurements over subsequent days. We successfully quantified the performance of clinical and laboratory markers covering the early period of dengue. Resulting algorithms performed better than published schemes for distinction of dengue from other febrile illnesses, and take into account the dynamic changes over time. Our results provide crucial information needed for the update of guidelines, including the Integrated Management of Childhood Illness handbook.

    FUNDING: EU's Seventh Framework Programme.

    TRANSLATIONS: For the Bangla, Bahasa Indonesia, Portuguese, Khmer, Spanish and Vietnamese translations of the abstract see Supplementary Materials section.

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