Prediction Models of Obstructive Sleep Apnea in Pregnancy: A Systematic Review and Meta-Analysis of Model Performance.

BACKGROUND: Gestational obstructive sleep apnea (OSA) is associated with adverse maternal and fetal outcomes. Timely diagnosis and treatment are crucial to improve pregnancy outcomes. Conventional OSA screening questionnaires are less accurate, and various prediction models have been studied specifically during pregnancy. METHODS: A systematic review and meta-analysis were performed for multivariable prediction models of both development and validation involving diagnosis of OSA during pregnancy. RESULTS: Of 1262 articles, only 6 studies (3713 participants) met the inclusion criteria and were included for review. All studies showed high risk of bias for the construct of models. The pooled C-statistics (95%CI) for development prediction models was 0.817 (0.783, 0850), I2 = 97.81 and 0.855 (0.822, 0.887), I2 = 98.06 for the first and second-third trimesters, respectively. Only multivariable apnea prediction (MVAP), and Facco models were externally validated with pooled C-statistics (95%CI) of 0.743 (0.688, 0.798), I2 = 95.84, and 0.791 (0.767, 0.815), I2 = 77.34, respectively. The most common predictors in the models were body mass index, age, and snoring, none included hypersomnolence. CONCLUSIONS: Prediction models for gestational OSA showed good performance during early and late trimesters. A high level of heterogeneity and few external validations were found indicating limitation for generalizability and the need for further studies.

Estimation of the global burden of Mycobacterium tuberculosis lineage 1.

Tuberculosis is still problematic as it affects large numbers of people globally. Mycobacterium tuberculosis Lineage 1 (L1) or Indo Oceanic Lineage, one of widespread major lineages, has a specific geographic distribution and high mortality. It is highly diverse and endemic in several high burden countries. However, studies on the global burden of L1 and its sublineages remain limited. This may lead to the underestimation of the importance of its variance in developing and applying tuberculosis control measures. This study aimed to estimate the number of patients infected with M. tuberculosis L1 and its sublineages worldwide. The proportion of L1 among tuberculosis patients was searched in published reports from countries around the world and the number of patients was calculated based on a WHO report on country incidences and populations. The numbers of patients infected with the five major sublineages, namely L1.1.1, L1.1.2, L1.1.3, L1.2.1, and L1.2.2 were estimated where information was available. It was found that L1 accounted for 28% of global tuberculosis cases in 2012 and 2018. Over 80% of the L1 global burden was in India, the Philippines, Indonesia and Bangladesh, which are also among the countries with highest absolute numbers of tuberculosis patients in the world. Globally, the estimated number of patients infected with M. tuberculosis L1.2.1 and L1.1.2 was over 1.1 million and of patients infected with L1.1.1 was about 200,000. This study demonstrated that L1 contributes significantly to the global burden of tuberculosis. To achieve the End TB Strategy, more attention needs to be paid to the responses of M. tuberculosis L1 to various control measures.

A novel Ancestral Beijing sublineage of Mycobacterium tuberculosis suggests the transition site to Modern Beijing sublineages.

Global Mycobacterium tuberculosis population comprises 7 major lineages. The Beijing strains, particularly the ones classified as Modern groups, have been found worldwide, frequently associated with drug resistance, younger ages, outbreaks and appear to be expanding. Here, we report analysis of whole genome sequences of 1170 M. tuberculosis isolates together with their patient profiles. Our samples belonged to Lineage 1-4 (L1-L4) with those of L1 and L2 being equally dominant. Phylogenetic analysis revealed several new or rare sublineages. Differential associations between sublineages of M. tuberculosis and patient profiles, including ages, ethnicity, HIV (human immunodeficiency virus) infection and drug resistance were demonstrated. The Ancestral Beijing strains and some sublineages of L4 were associated with ethnic minorities while L1 was more common in Thais. L2.2.1.Ancestral 4 surprisingly had a mutation that is typical of the Modern Beijing sublineages and was common in Akha and Lahu tribes who have migrated from Southern China in the last century. This may indicate that the evolutionary transition from the Ancestral to Modern Beijing sublineages might be gradual and occur in Southern China, where the presence of multiple ethnic groups might have allowed for the circulations of various co-evolving sublineages which ultimately lead to the emergence of the Modern Beijing strains.