Beractant 200mg/8ml endotracheopulmonary suspension bottles
Requires a prescription from a doctor or prescriber
Beractant is a pulmonary surfactant used for the treatment of Respiratory Distress Syndrome (RDS) in premature infants.
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Survanta 200mg/8ml endotracheopulmonary suspension bottles
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Injectables
(2)Other
(2)Similarity is based on WHO Anatomical Therapeutic Chemical (ATC) classification and on a factual NHS dm+d therapeutic-grouping code prefix. Source data: NHS dm+d via TRUD (OGL v3.0), WHO ATC/DDD Index.
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SNOMED CT and dm+d codes from NHS TRUD (Technology Reference data Update Distribution), licensed under the Open Government Licence v3.0. BNF code shown is the factual mapping value distributed by NHS Business Services Authority (NHSBSA) in the dm+d supplementary file under OGL v3.0; it is not affiliated with, nor licensed from, the publishers of the British National Formulary.
Active and completed clinical studies from ClinicalTrials.gov
Source: ClinicalTrials.gov, a database of the U.S. National Library of Medicine (NLM), National Institutes of Health (NIH). Data accessed via ClinicalTrials.gov API v2. Trial information is provided for research purposes and does not constitute medical advice.
Academic studies and reviews for this medicine's active substance
Showing the 50 most relevant studies.
Reviews & meta-analyses: 5 · Randomised trials: 11 · Trials: 3 · 1993–2025
Showing the 50 most relevant studies, sorted by most relevant.
R. Ramanathan, M. Rasmussen, D. Gerstmann, et al.
American journal of perinatology, 2004
- Infant, Premature
- Biological Products
- Phospholipids
F. Moya, J. Gadzinowski, E. Bancalari, et al.
Pediatrics, 2005
- Biological Products
- Bronchopulmonary Dysplasia
- Drug Combinations
Manuel Sánchez Luna, Peter Bacher, Kristina Unnebrink, et al.
Journal of Perinatology, 2020
- Biological Products
- Respiratory Distress Syndrome, Newborn
- Phospholipids
Findings from previous meta-analyses of randomized clinical trials (RCTs) in premature infants with respiratory distress syndrome (RDS) varied as to whether clinical outcomes differed by type of animal-derived pulmonary surfactant; real-world evidence (RWE) was excluded. We extracted study characteristics and outcomes from full-text articles from a systematic search for studies that compared beractant with poractant alfa for RDS in preterm infants. RWE data were tabulated; RCT data were subjected to meta-analyses. Designs, patient characteristics, and follow-up durations varied widely among studies (4 RWE, 15 RCT). RWE studies with adjusted odds ratios (ORs) found no statistically significant between-treatment differences in outcomes. In RCT meta-analyses, no statistically significant between-treatment differences were observed for death (OR [95% confidence interval], 1.35 [0.98-1.86]), bronchopulmonary dysplasia (1.25 [0.96-1.62]), pneumothorax (1.21 [0.72-2.05]), and air leak syndrome (2.28 [0.82-6.39]). Collectively, outcomes were similar with beractant and poractant alfa in RWE studies and pooled RCTs.
Abstract licence: CC BY 4.0
Haider S, Azhar N, Zahid M, et al.
2022
- Respiratory Distress Syndrome, Newborn
- Pulmonary Surfactants
- Oxygen
Ashadur Zamal, Md Habibullah Sk, Bijan Saha, et al.
Journal of Perinatology, 2024
- Biological Products
- Phospholipids
- Pulmonary Surfactants
Yosra Khazani, Sirous Fathi Manesh, Elnaz Shaseb, et al.
BMC Pediatrics, 2025
- Biological Products
- Intermittent Positive-Pressure Ventilation
- Pulmonary Surfactants
Randomized controlled trial (RCT) data are analyzed by two challengeable adjusted and non-adjusted approaches. Performing appropriate adjusted analysis leads to a more interpretable and efficient estimation of treatment effects. Semiparametric adjustment approach modifies the estimating equations solved by the marginal treatment effect estimator by adding an augmentation function, which makes use of the baseline covariates and estimate the unbiased marginal treatment effect with improved precision. The effect of the intervention obtained using the semi-parametric adjustment method, similar to the unadjusted method and contrary to the adjusted parametric method, is marginal, resulting in better interpretability. Moreover, due to leveraging baseline covariates, it is more efficient compared to the unadjusted models. This study aimed to estimate the effect of beractant (Beraksurf™, Tekzima Company), compared with the Poractant alfa (Curosurf®, Chiesi Pharmaceuticals), as surfactant replacement therapy, on the need for Intermittent Positive Pressure Ventilation (IPPV) in Neonatal Respiratory Distress Syndrome (NRDS) more precisely by fitting a semi-parametric efficient model adjusted for appropriate covariates. This study is secondary and we re-analyzing data of a published RCT. This RCT was conducted in the NICU of Alzahra Hospital in Tabriz, Iran for eight months, and 200 infants were assigned to two groups receiving either 100 mg/kg BeraksurfTM ( n = 99) or 200 mg/kg Curosurf® ( n = 101). The effect of the treatments was evaluated regarding the need for IPPV by fitting semi-parametric logistic regression models, adjusted for the best subset of covariates selected by the forward variable selection algorithm and confounders identified by the expert panel. IPPV in our study was administered via an endotracheal tube, as per the protocol followed in the primary trial. The need for IPPV was determined based on the clinical judgment of neonatologists, considering the infants' respiratory distress levels, oxygen saturation, and arterial blood gas measurements. The decision was made within the first 72 h after surfactant administration. The proportions of the required IPPV outcome were 29.3% and 59.4% in the BeraksurfTM group and Curosurf®, respectively. While the unadjusted comparison between the two treatments was significant (OR = .283, 95% CI: (.157, .509), P -value < .001), adjusted OR in semi-parametric logistic regression by adjusting for the best subset of covariates selected by forward method including steroids, Apgar score at min1, and initial Fio2 wasn’t significant (OR = .751, 95% CI: (.510, 1.111), P -value = .151). The efficacy of this semi-parametric model over the unadjusted model was 1.81. The results of the expert-based adjusted model, adjusting for the gestational age, birth weight, and initial FiO2, were consistent with those derived from the R 2 -based selection, supporting the robustness of our findings (OR = .685, 95% CI: (.449, 1.529), P -value = .078). Fitting a semi-parametric model adjusted for the baseline covariates resulted in a marginal, unbiased, more efficient and interpretable estimation of BeraksurfTM versus Curosurf® effects. Although the crude model showed that BeraksurfTM was more effective than Curosurf®, the results of the efficient semi-parametric model with adjustment for the best subset of covariates revealed no statistically significant difference between the two drugs regarding their effects. We hope that the use of this method and its findings will contribute to a better understanding of covariate adjustment.
Abstract licence: CC BY-NC-ND 4.0
K. Najib, Hamide Barzegar, Mehrdad Rezaei, et al.
Iranian Journal of Medical Sciences, 2025
- Respiratory Distress Syndrome, Newborn
- Phospholipids
- Pulmonary Surfactants
saha B, Zamal A, Sk MH, et al.
2024
Abstract Objective: Exogenous surfactant therapy is vital in managing respiratory distress syndrome (RDS) in preterm infants, with less invasive surfactant administration (LISA) gaining popularity. This study aimed to assess the efficacy and short-term outcomes of LISA using beractant and poractant alfa. Study Design: In a randomized controlled trial , we enrolled preterm infants (28-33+6 weeks) with RDS requiring surfactant. LISA was employed, with beractant at 100 mg/kg or poractant-alfa at 200 mg/kg. Primary outcome was the need for intubation within 72 hours. Results: Among 120 infants, 3.3% in both groups required intubation within 72 hours (p value 1.00, 95% CI 0.14 - 6.86). No significant differences in secondary outcomes were noted, except a trend towards increased necrotizing enterocolitis with beractant . Beractant was significantly more economical. Conclusion: Beractant and poractant-alfa exhibit similar efficacy in LISA for preterm infants with RDS. Economic considerations, especially in LMICs, favour beractant. The trial is registered in the clinical trial registry of India (CTRI/2023/03/050375).
Abstract licence: CC BY 4.0
Colleen Ann Malloy, Pamela Nicoski, Jonathan Muraskas
Acta Paediatrica, 2005
- Biological Products
- Phospholipids
- Pulmonary Surfactants
Beena G. Sood, Ronald Thomas, Virginia Delaney‐Black, et al.
Pulmonary Pharmacology & Therapeutics, 2020
- Biological Products
- Respiratory Distress Syndrome, Newborn
- Infant, Premature
Sources: aggregated from Europe PMC (EMBL-EBI), OpenAlex, Crossref, PubMed and other open scholarly databases. Retracted articles are excluded. Study information is provided for research purposes and does not constitute medical advice.
Pharmacology and chemical data from DrugBank
Key facts
Drug status
Approved
Major interactions
None known
Half-life
Not available
Mechanism
Beractant replenishes lung surfactant and restores surface activity to the lungs…
Food interactions
None known
Human targets
None mapped
Data: DrugBank · CC BY-NC 4.0
Pharmacokinetics at a glance
Absorption
Metabolism
Pharmacokinetic data: DrugBank · CC BY-NC 4.0
In anticipation of birth, endogenous lung surfactant is produced to lower the surface tension on alveolar surfaces and to stabilize the alveoli against collapse at resting transpulmonary pressures. However, in Respiratory Distress Syndrome, developmental deficiency of surfactant results collapse of the alveoli causing fast breathing, increased heart rate, apoxia, and sometimes death. Administration of lung surfactant remains the cornerstone of therapy in this condition that is currently the leading cause of death in preterm infants. In comparison to synthetic forms of surfacant, natural forms such as Beractant have been found to have a reduced incidence of pneumothorax and reduced mortality.
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Chemical identifiers
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Chemical identifiers
CAS, UNII, InChI Key and database cross-references
Linked compound data from DrugBank Open Data (CC BY-NC 4.0)
Beractant
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