Ambulatory tuberculosis treatment in post-Semashko health care systems needs supportive financing mechanisms

The tuberculosis (TB) control strategy in the Republic of Karakalpakstan, Uzbekistan, is being changed to decentralised out-patient care for most TB patients by the Government of Uzbekistan, in collaboration with the international medical humanitarian organisation Médecins Sans Frontières. Ambulatory treatment of both drug-susceptible and drug-resistant TB from the first day of treatment has been recommended since 2011. Out-patient treatment of TB from the beginning of treatment was previously prohibited. However, the current Uzbek health financing system, which evolved from the Soviet Semashko model, offers incentives that work against the adoption of ambulatory TB treatment. Based on the 'Comprehensive TB Care for All' programme implemented in Karakalpakstan, we describe how existing policies for the allocation of health funds complicate the scale-up of ambulatory-based management of TB

Retinopathy of prematurity – update on screening, treatment, recent studies and long-term outcomes

Retinopathy of prematurity, short ROP, is still one of the leading causes of childhood blindness worldwide. The management of ROP, however, has changed tremendously during the last years. This article summarizes known risk factors for ROP, preventive measures and the updated version of the German recommendations for ROP-screening and treatment. A special focus is laid on new treatment options, in particular anti-VEGF treatment, as well as the post-operative and long-term follow-up after treatment. This article also emphasizes the need for joint data collection on an international level and presents the newly-developed initiative for a European wide data collection (EU-ROP) which will be introduced in 2021. All physicians treating ROP infants are welcome to join the EU-ROP initiative

Ranibizumab in retinopathy of prematurity – one‐year follow‐up of ophthalmic outcomes and two‐year follow‐up of neurodevelopmental outcomes from the CARE‐ROP study

Purpose The primary endpoint results from the comparing alternative ranibizumab dosages for safety and efficacy in retinopathy of prematurity (CARE-ROP) core study identified ranibizumab as an effective treatment to control acute retinopathy of prematurity (ROP). This study reports the 1- and 2-year follow-up data focusing on long-term functional outcomes and safety. Methods The CARE-ROP trial compared 0.12 mg versus 0.20 mg ranibizumab in 20 infants with ROP in a multicentric, prospective, randomized, double-blind, controlled study design. Sixteen patients entered the follow-up period. An ophthalmologic assessment at one year postbaseline was acquired from all 16 patients and a neurodevelopmental assessment at two years postbaseline was acquired from 15 patients. Results Fifteen of 16 infants were able to fixate and follow moving objects at one year postbaseline treatment. One child progressed to stage 5 ROP bilaterally between the end of the core study and the 1-year follow-up (first seen at PMA 75 weeks). Mean spherical equivalents were -1.9 diopters (D) and -0.75 D in the 0.12 mg and the 0.20 mg treatment arms. Strabismus was present in seven and nystagmus in five out of 16 infants. Mental development scores were within normal limits in six out of ten patients with available data. No statistically significant difference was observed between the two treatment arms. Conclusion Neurodevelopmental and functional ocular outcomes 1 and 2 years after treatment with ranibizumab are reassuring regarding long-term safety. Late reactivation of ROP, however, represents a challenge during the follow-up phase and it is of utmost importance that regular follow-ups are maintained

Individual Risk Prediction for Sight-Threatening Retinopathy of Prematurity Using Birth Characteristics

Question: Can a prediction model be constructed for retinopathy of prematurity needing treatment by using only birth characteristics data and applying advanced statistical methods? Findings: In this cohort study of 6947 infants born at gestational age 24 to 30 weeks, the prediction model incorporating only postnatal age, gestational age, sex, and birth weight provided a predictive ability for retinopathy of prematurity needing treatment that was comparable to current models requiring postnatal data (not always available). The risk for retinopathy of prematurity needing treatment increased up to 12 weeks' postnatal age irrespective of the infants' gestational age. Meaning: This prediction model identifying infants with a high risk for developing sight-threatening disease at an early time may improve the conditions for optimal screening. This cohort study creates and validates an easy-to-use prediction model using only birth characteristics and describes a continuous hazard function for retinopathy of prematurity treatment. Importance: To prevent blindness, repeated infant eye examinations are performed to detect severe retinopathy of prematurity (ROP), yet only a small fraction of those screened need treatment. Early individual risk stratification would improve screening timing and efficiency and potentially reduce the risk of blindness. Objectives: To create and validate an easy-to-use prediction model using only birth characteristics and to describe a continuous hazard function for ROP treatment. Design, Setting, and Participants: In this retrospective cohort study, Swedish National Patient Registry data from infants screened for ROP (born between January 1, 2007, and August 7, 2018) were analyzed with Poisson regression for time-varying data (postnatal age, gestational age [GA], sex, birth weight, and important interactions) to develop an individualized predictive model for ROP treatment (called DIGIROP-Birth [Digital ROP]). The model was validated internally and externally (in US and European cohorts) and compared with 4 published prediction models. Main Outcomes and Measures: The study outcome was ROP treatment. The measures were estimated momentary and cumulative risks, hazard ratios with 95% CIs, area under the receiver operating characteristic curve (hereinafter referred to as AUC), sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). Results: Among 7609 infants (54.6% boys; mean [SD] GA, 28.1 [2.1] weeks; mean [SD] birth weight, 1119 [353] g), 442 (5.8%) were treated for ROP, including 142 (40.1%) treated of 354 born at less than 24 gestational weeks. Irrespective of GA, the risk for receiving ROP treatment increased during postnatal weeks 8 through 12 and decreased thereafter. Validations of DIGIROP-Birth for 24 to 30 weeks' GA showed high predictive ability for the model overall (AUC, 0.90 [95% CI, 0.89-0.92] for internal validation, 0.94 [95% CI, 0.90-0.98] for temporal validation, 0.87 [95% CI, 0.84-0.89] for US external validation, and 0.90 [95% CI, 0.85-0.95] for European external validation) by calendar periods and by race/ethnicity. The sensitivity, specificity, PPV, and NPV were numerically at least as high as those obtained from CHOP-ROP (Children's Hospital of Philadelphia-ROP), OMA-ROP (Omaha-ROP), WINROP (weight, insulinlike growth factor 1, neonatal, ROP), and CO-ROP (Colorado-ROP), models requiring more complex postnatal data. Conclusions and Relevance: This study validated an individualized prediction model for infants born at 24 to 30 weeks' GA, enabling early risk prediction of ROP treatment based on birth characteristics data. Postnatal age rather than postmenstrual age was a better predictive variable for the temporal risk of ROP treatment. The model is an accessible online application that appears to be generalizable and to have at least as good test statistics as other models requiring longitudinal neonatal data not always readily available to ophthalmologists