Effects of preterm birth, maternal ART and breastfeeding on 24-month infant HIV-free survival in a randomized trial

BACKGROUND

IMPAACT 1077BF/FF compared the safety/efficacy of two HIV antiretroviral therapy (ART) regimens to zidovudine (ZDV) alone during pregnancy for HIV prevention. PROMISE found an increased risk of preterm delivery (<37 weeks) with antepartum triple ART (TDF/FTC/LPV+r or ZDV/3TC/LPV+r) compared to ZDV alone. We assessed the impact of preterm birth, breastfeeding and antepartum ART regimen on 24-month infant survival.

METHODS

We compared HIV-free and overall survival at 24-months for liveborn infants by gestational age, time-varying breastfeeding status, and antepartum ART arm at 14 sites in Africa and India. Kaplan-Meier survival probabilities and Cox proportional hazards ratios (HR) were estimated.

RESULTS

3,482 live-born infants (568 [16 3%] preterm and 2,914 [83 7%] term) were included. Preterm birth was significantly associated with lower HIV-free survival (0·85; 95% CI: 0·82-0·88) and lower overall survival (0·89; 95% CI: 0·86-0·91) versus term birth (0·96; 95% CI: 0·95-0·96). Very preterm birth (<34 weeks) was associated with low HIV-free survival (0·65; 95% CI: 0·54-0·73) and low overall survival (0·66; 95% CI: 0·56-0·74). Risk of HIV infection or death at 24-months was higher with TDF-ART than ZDV-ART (adjusted HR 2·37; 95% CI: 1·21-4·64). Breastfeeding initiated near birth decreased risk of infection or death at 24 months (adjusted HR 0·05; 95% CI: 0·03-0·08) compared to not breastfeeding.

CONCLUSION

Preterm birth and antepartum TDF-ART were associated with lower 24-month HIV-free survival compared to term birth and ZDV-ART. Any breastfeeding strongly promoted HIV-free survival, especially if initiated close to birth. Reducing preterm birth and promoting infant feeding with breastmilk among HIV/ARV-exposed infants remain global health priorities.

Systemic inflammation in pregnant women with HIV: relationship with HIV treatment regimen and preterm delivery

OBJECTIVE

: HIV treatment regimen during pregnancy was associated with preterm delivery (PTD) in the PROMISE 1077 BF trial. Systemic inflammation among pregnant women with HIV could help explain differences in PTD by treatment regimen. We assessed associations between inflammation, treatment regimen, and PTD.

DESIGN/METHODS

: A nested 1:1 case-control study (N = 362) was conducted within a multi-country randomized trial comparing three HIV regimens in pregnant women: zidovudine alone, or combination antiretroviral therapy (ART) with lopinavir/ritonavir and either zidovudine or tenofovir. Cases were women with PTD (<37 weeks of gestational age). The following inflammatory biomarkers were measured in plasma samples using immunoassays: soluble CD14 (sCD14) and sCD163, intestinal fatty acid-binding protein, interleukin (IL)-6, interferon γ, and tumor necrosis factor α. We fit regression models to assess associations between second trimester biomarkers (measured before ART initiation at 13-23 weeks of gestational age and 4 weeks later), treatment regimen, and PTD. We also assessed whether inflammation was a mediator in the relationship between ART regimen and PTD.

RESULTS

: Persistently high interleukin-6 was associated with increased PTD. Compared to zidovudine alone, the difference in biomarker concentration between week 0 and week 4 was significantly higher (p < 0.05) for both PI-based regimens. However, the estimated proportion of the ART effect on increased PTD mediated by persistently high biomarker levels was ≤5% for all biomarkers.

CONCLUSIONS

: Persistently high IL-6 during pregnancy was associated with PTD. While PI-based ART was associated with increases in inflammation, factors other than inflammation likely explain the increased PTD in ART-based regimens compared to zidovudine alone.

Intimate partner violence and excess fertility among women of reproductive age in Malawi

PURPOSE

Gender inequity and adverse health outcomes continue to be of concern among women in sub-Saharan Africa. We determined prevalence of intimate partner violence and excess fertility (having more children than desired) in reproductive age women in Malawi. We also explored factors associated with these outcomes and with spousal fertility intentions.

PATIENTS AND METHODS

In a cross-sectional study, a total of 360 women and 410 men were recruited using multi-stage sampling from communities in a peri-urban setting in Blantyre District, Southern Malawi in 2021. Women and men were separately interviewed by trained study workers using a structured questionnaire. In addition to descriptive analyses, we used univariate and multivariate logistic regression models to assess associations of risk factors with the outcomes of intimate partner violence and excess fertility.

RESULTS

Among women, lifetime prevalence of intimate partner violence was 23.1%, and excess fertility was experienced by 25.6%. Intimate partner violence was associated with male partners alcohol consumption (adjusted odds ratio 2.13; P = 0.019). Women were more likely to report excess fertility if they were older (adjusted odds ratio 2.0, P<0.001, for a 5-year increase). Alcohol consumption by the male partner (adjusted odds ratio 2.14; P = 0.025) and women being able to refuse sex with their male partner (adjusted odds ratio 0.50; P = 0.036) were associated with discordant fertility preferences.

CONCLUSIONS

Intimate partner violence, excess fertility, and social and health inequities continue to be prevalent in Malawi. These data suggest the underlying proximal and distal factors associated with these adverse outcomes such as alcohol consumption may be addressed through education, couple interactive communication, and community dialogue. To ensure sustainability and effectiveness, strong leadership involvement, both governmental and non-governmental, is needed.

Breastfeeding Among Women Living With HIV in the Era of Lifelong ART: An Observational Multicountry Study in Eastern and Southern Africa

BACKGROUND

Lifelong antiretroviral treatment (ART) use is recommended for pregnant and breastfeeding (BF) women living with HIV (WLWH) to prevent perinatal HIV transmission and improve maternal health. We address 2 objectives in this analysis: (1) determine timing and factors associated with BF cessation and (2) assess the impact of BF on health of WLWH on ART.

SETTING

This multicountry study included 8 sites in Uganda, Malawi, Zimbabwe, and South Africa.

METHODS

This was a prospective study of WLWH on lifelong ART. These women initially participated from 2011 to 2016 in a randomized clinical trial (PROMISE) to prevent perinatal HIV transmission and subsequently reenrolled in an observational study (PROMOTE, 2016-2021) to assess ART adherence, safety, and impact.

RESULTS

The PROMOTE cohort included 1987 women on ART. Of them, 752 breastfed and were included in analyses of objective 1; all women were included in analyses of objective 2. The median time to BF cessation varied by country (11.2-19.7 months). Country of residence, age, and health status of women were significantly associated with time to BF cessation (compared with Zimbabwe: Malawi, adjusted hazard ratio [aHR] 0.50, 95% confidence interval [95% CI]: 0.40 to 0.62, P < 0.001; South Africa, aHR 1.49, 95% CI: 1.11 to 2.00, P = 0.008; and Uganda, aHR 1.77, 95% CI: 1.37 to 2.29, P < 0.001). Women who breastfed had lower risk of being "unwell" compared with women who never breastfed (adjusted rate ratio 0.87, 95% CI: 0.81 to 0.95 P = 0.030).

CONCLUSION

Women on lifelong ART should be encouraged to continue BF with no concern for their health. Time to BF cessation should be monitored for proper counseling in each country.

Automated diagnosis of EEG abnormalities with different classification techniques

Automatic seizure detection and prediction using clinical Electroencephalograms (EEGs) are challenging tasks due to factors such as low Signal-to-Noise Ratios (SNRs), high variance in epileptic seizures among patients, and limited clinical data constraints. To overcome these challenges, this paper presents two approaches for EEG signal classification. One of these approaches depends on Machine Learning (ML) tools. The used features are different types of entropy, higher-order statistics, and sub-band energies in the Hilbert Marginal Spectrum (HMS) domain. The classification is performed using Support Vector Machine (SVM), Logistic Regression (LR), and K-Nearest Neighbor (KNN) classifiers. Both seizure detection and prediction scenarios are considered. The second approach depends on spectrograms of EEG signal segments and a Convolutional Neural Network (CNN)-based residual learning model. We use 10000 spectrogram images for each class. In this approach, it is possible to perform both seizure detection and prediction in addition to a 3-state classification scenario. Both approaches are evaluated on the Children's Hospital Boston and the Massachusetts Institute of Technology (CHB-MIT) dataset, which contains 24 EEG recordings for 6 males and 18 females. The results obtained for the HMS-based model showed an accuracy of 100%. The CNN-based model achieved accuracies of 97.66%, 95.59%, and 94.51% for Seizure (S) versus Pre-Seizure (PS), Non-Seizure (NS) versus S, and NS versus S versus PS classes, respectively. These results demonstrate that the proposed approaches can be effectively used for seizure detection and prediction. They outperform the state-of-the-art techniques for automatic seizure detection and prediction. Block diagram of proposed epileptic seizure detection method using HMS with different classifiers.

Community-Acquired Methicillin-Resistant Staphylococcus aureus in Hospitals: Age-Specificity and Potential Zoonotic-Zooanthroponotic Transmission Dynamics

Methicillin-resistant Staphylococcus aureus (MRSA) lineages are a devastating clinical and public health issue. Data on local lineage profiles are limited. We report on the frequency of community-acquired and hospital-acquired cases (CA-MRSA, HA-MRSA). We studied 147 isolates from King Khalid tertiary care hospitals (KKH), each from a case in a patient and including 33 patients at the Maternity and Children's Hospital (MCH). Of the 147 isolates, 87 males (59%) and 60 females (41%) were in KKH. The overwhelming majority (80%; n = 119/147) were CA-MRSA in KKH. Intriguingly, despite significant differences between males (70%) and females (53%), lineage-acquisition remained age-specific around 58-60 years in both genders. However, while CA-MRSA dominated early in life (0-20, 70% MCH), it increased with age in KKH adults; 21-50 (28%), >50 (59%) until the overall 80% (n = 144/180). Major specimens included skin-wounds, surgeries (70.3%), blood (13.5%), sputum (8.8%), very rarely urine (4.1%), and nasal (3.4%), albeit most patients showed severe enteritis and necrotizing pneumonia. Antibiograms showed high beta lactam resistances, including amoxicillin-clavulanate (83%), oxacillin (84%), cefoxitin FOX (100%), penicillin and ampicillin (~100%), as well as high resistance (82%) to carbapenem. Fortunately, high susceptibility was seen to non-beta lactams and, to a lesser extent, gentamicin, erythromycin, and fusidic acid; 33%, 34%, and 38%, respectively, in KKH. A similar pattern was seen in MCH except for a low resistance pattern to gentamicin CN, clindamycin CD, erythromycin E, and tobramycin TOB; 34%, 31%, 39%, and 41%, respectively, except for fusidic acid. These findings have significant clinical implications for MRSA patient management strategies. Clinical- and lineage-profiles imply host-selection and zoonotic-zooanthroponotic transmission dynamics. Future molecular typing, sequencing, and characterization of dominant clone(s) is imperative.

Simultaneous Super-Resolution and Classification of Lung Disease Scans

Acute lower respiratory infection is a leading cause of death in developing countries. Hence, progress has been made for early detection and treatment. There is still a need for improved diagnostic and therapeutic strategies, particularly in resource-limited settings. Chest X-ray and computed tomography (CT) have the potential to serve as effective screening tools for lower respiratory infections, but the use of artificial intelligence (AI) in these areas is limited. To address this gap, we present a computer-aided diagnostic system for chest X-ray and CT images of several common pulmonary diseases, including COVID-19, viral pneumonia, bacterial pneumonia, tuberculosis, lung opacity, and various types of carcinoma. The proposed system depends on super-resolution (SR) techniques to enhance image details. Deep learning (DL) techniques are used for both SR reconstruction and classification, with the InceptionResNetv2 model used as a feature extractor in conjunction with a multi-class support vector machine (MCSVM) classifier. In this paper, we compare the proposed model performance to those of other classification models, such as Resnet101 and Inceptionv3, and evaluate the effectiveness of using both softmax and MCSVM classifiers. The proposed system was tested on three publicly available datasets of CT and X-ray images and it achieved a classification accuracy of 98.028% using a combination of SR and InceptionResNetv2. Overall, our system has the potential to serve as a valuable screening tool for lower respiratory disorders and assist clinicians in interpreting chest X-ray and CT images. In resource-limited settings, it can also provide a valuable diagnostic support.

Self-reported Antiretroviral Adherence: Association With Maternal Viral Load Suppression in Postpartum Women Living With HIV-1 From Promoting Maternal and Infant Survival Everywhere, a Randomized Controlled Trial in Sub-Saharan Africa and India

INTRODUCTION

Optimal adherence to antiretroviral therapy (ART) is crucial to promoting maternal-infant health.

SETTING

Fourteen sites in 7 countries within sub-Saharan Africa and India.

METHODS

The multicomponent, open-label strategy PROMISE trial enrolled breastfeeding mother-infant pairs not meeting in-country criteria for maternal ART (mART) initiation in the postpartum component within 5 days of delivery. Randomization was to mART versus infant NVP (iNVP) prophylaxis. Infants in the mART arm also received 6 weeks of iNVP. Self-reported adherence was assessed in a secondary analysis. Time-to-event analyses were performed to explore the association between adherence and maternal viral load (mVL) in the mART arm.

RESULTS

Two thousand four hundred thirty-one mother-infant pairs were enrolled between 2011 and 2014; the baseline maternal median CD4 was 686 (IQR 553-869), and the median mVL was 322 copies/mL (IQR 40-1422). Self-reported adherence was lower in the mART arm compared with the iNVP arm (no missed doses within 4 weeks of all study visits: 66% vs 83%; within 2 weeks: 71% vs 85%; P < 0.0001). The iNVP adherence at week 6 was high in both arms: 97% in mART arm; 95% in iNVP arm. Time-to-event analyses showed that adherence to mART was associated with time to first mVL ≥400 copies/mL ( P < 0.0001). Missing 1 full day of doses over 3 days was associated with a 66% risk of mVL ≥1000 copies/mL (HR: 1.66; 95% CI: 1.37, 1.99).

CONCLUSIONS

Postpartum women were less adherent to their own ART than mothers providing their infant's nevirapine prophylaxis. The self-reported missed mART doses were associated with high mVL. Strategies to optimize postpartum mART adherence are urgently needed.

CLINICAL TRIAL NUMBER

ClinicalTrials.gov: NCT01061151; closed to follow-up.

Impact of Motivational Enhanced Adherence Counseling and Point-of-Care Viral Load Monitoring on Viral Load Outcome in Women on Life-Long ART: A Randomized Pilot Study

We piloted the combined effectiveness of point-of-care viral load monitoring plus motivational enhanced adherence counseling (intervention) compared with routine care (control) in women identified at risk of virologic failure in the PROMOTE study in Zimbabwe. In an unblinded randomized study, consenting women with last viral load ≥200 copies/ml and/or pill count outside 90-110% range were randomized 1 : 1 to receive the intervention or continue routine care, comprising laboratory-based VL monitoring and standard EAC, from trained nurses and counsellors. Viral load was measured 0, 3, 6, and 12 months after enrolment. We compared viral suppression <200 copies/ml at 6 and 12 months between the arms through Fisher's exact test and sought associated factors by logistic regression with a 95% confidence interval (CI). Between December 2018 and July 2019, 50 women were enrolled (25 intervention and 25 controls) and followed until November 2020. At entry, 60% of the women were virally suppressed, 52% intervention vs. 68% control arm. Viral suppression was balanced between the two arms (p value = 0.248). At month 6 post study entry (primary endpont), 64% of the women retained in care were virally suppressed, 54% intervention vs. 76% control arm (p value = 0.124). At month12 post study entry (secondary endpoint), 69% of the women retained in care were virally suppressed, 67% intervention vs. 71% control arm women (p value = 0.739). More intervention women completed all scheduled sessions by month 6. Control group women were more likely to be virally suppressed at both timepoints. Only 25% had treatment switch by 12 months. Despite intense adherence support and viral load monitoring, sustained viral suppression remained elusive in women identified at risk of viral failure. These findings highlight the continued need for effective adherence intervention for women with unsuppressed HIV viral loads, efficient treatment switch strategies, as well as drug level monitoring.

Maternal and infant renal safety following tenofovir disoproxil fumarate exposure during pregnancy in a randomized control trial

BACKGROUND

Tenofovir disoproxil fumarate (TDF) in combination with other antiretroviral (ARV) drugs has been in clinical use for HIV treatment since its approval in 2001. Although the effectiveness of TDF in preventing perinatal HIV infection is well established, information about renal safety during pregnancy is still limited.

TRIAL DESIGN

The IMPAACT PROMISE study was an open-label, strategy trial that randomized pregnant women to one of three arms: TDF based antiretroviral therapy (ART), zidovudine (ZDV) based ART, and ZDV alone (standard of care at start of enrollment). The P1084s substudy was a nested, comparative study of renal outcomes in women and their infants.

METHODS

PROMISE participants (n = 3543) were assessed for renal dysfunction using calculated creatinine clearance (CrCl) at study entry (> 14 weeks gestation), delivery, and postpartum weeks 6, 26, and 74. Of these women, 479 were enrolled in the P1084s substudy that also assessed maternal calcium and phosphate as well as infant calculated CrCl, calcium, and phosphate at birth.

RESULTS

Among the 1338 women who could be randomized to TDF, less than 1% had a baseline calculated CrCl below 80 mL/min. The mean (standard deviation) maternal calculated CrCl at delivery in the TDF-ART arm [147.0 mL/min (51.4)] was lower than the ZDV-ART [155.0 mL/min (43.3); primary comparison] and the ZDV Alone [158.5 mL/min (45.0)] arms; the mean differences (95% confidence interval) were - 8.0 mL/min (- 14.5, - 1.5) and - 11.5 mL/min (- 18.0, - 4.9), respectively. The TDF-ART arm had lower mean maternal phosphate at delivery compared with the ZDV-ART [- 0.14 mg/dL (- 0.28, - 0.01)] and the ZDV Alone [- 0.17 mg/dL (- 0.31, - 0.02)] arms, and a greater percentage of maternal hypophosphatemia at delivery (4.23%) compared with the ZDV-ART (1.38%) and the ZDV Alone (1.46%) arms. Maternal calcium was similar between arms. In infants, mean calculated CrCl, calcium, and phosphate at birth were similar between arms (all CIs included 0).

CONCLUSIONS

Although mean maternal calculated CrCl at Delivery was lower in the TDF-ART arm, the difference between arms is unlikely to be clinically significant. During pregnancy, the TDF-ART regimen had no observed safety concerns for maternal or infant renal function.

TRIAL REGISTRATION

NCT01061151 on 10/02/2010 for PROMISE (1077BF). NCT01066858 on 10/02/2010 for P1084s.

A simplified Algorithm and Spiral Fractal in Transform Domain.. [DOI: 10.21203/rs.3.rs-1633883/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0]

This paper proposes a simplified fractal image compression algorithm which is implemented on a block by block basis. This algorithm achieves a compression ratio of up to 1:10 with a peak signal to noise ratio (PSNR) as high as 35dB. The idea of the proposed algorithm is based on the segmentation of the image, first, into blocks to setup reference blocks. The image is then decomposed again into block ranges and a search process is carried out to find the reference blocks with best match. The transmitted or stored values, after compression, are the reference block values and the indices of the reference block that achieves the best match. If there is no match, the average value of the block range is transmitted or stored instead. It proposes also the effect of using the spiral architecture instead of square block decomposition and searching in fractal compression. Comparisons with other systems; conventional square, the proposed simplified fractal compression and the standard JPEG are introduced. We applied these types of fractal compression systems on a video sequence. Also the effect of using the fractal image compression algorithms in transform domain is proposed. The image is transferred firstly to the transform domain. The Discrete Cosine Transform (DCT) and Wavelet Transform (DWT) are used. After transformation takes place the fractal algorithms is applied. Comparisons between three fractal algorithms; conventional square, spiral, and a simplified fractal compression are proposed. The comparisons are repeated in the two cases of transformation. The discrete wavelet is used also in this paper to increase the compression ratio in case of using the conventional method. We used the two dimension discrete wavelet to increase the compression ratio of the block domain pool transmission. We decompose the block domain by wavelet decomposition to two levels which gives a compression ratio of block domain transmission as high as 1:16. The advantages of the proposed algorithm are the simplicity of computation. We found that the using of spiral architecture in fractal compression, the produced or decoded image and so the video sequence visual quality are better than that produced with conventional square method and the proposed simplified system at the same compression ratio but with longer time consumed. We found also that all types of fractal compression system give better quality than the standard JPEG. We found also that the decoded images in case of using the wavelet transform are the best. And the in case of using DCT the decoded images has bad qualities.

Severe Acute Respiratory Syndrome Coronavirus 2 Infection and Pregnancy in Sub-Saharan Africa: A 6-Country Retrospective Cohort Analysis

BACKGROUND

Few data are available on COVID-19 outcomes among pregnant women in sub-Saharan Africa (SSA), where high-risk comorbidities are prevalent. We investigated the impact of pregnancy on SARS-CoV-2 infection and of SARS-CoV-2 infection on pregnancy to generate evidence for health policy and clinical practice.

METHODS

We conducted a 6-country retrospective cohort study among hospitalized women of childbearing age between 1 March 2020 and 31 March 2021. Exposures were (1) pregnancy and (2) a positive SARS-CoV-2 RT-PCR test. The primary outcome for both analyses was intensive care unit (ICU) admission. Secondary outcomes included supplemental oxygen requirement, mechanical ventilation, adverse birth outcomes, and in-hospital mortality. We used log-binomial regression to estimate the effect between pregnancy and SARS-CoV-2 infection. Factors associated with mortality were evaluated using competing-risk proportional subdistribution hazards models.

RESULTS

Our analyses included 1315 hospitalized women: 510 pregnant women with SARS-CoV-2, 403 nonpregnant women with SARS-CoV-2, and 402 pregnant women without SARS-CoV-2 infection. Among women with SARS-CoV-2 infection, pregnancy was associated with increased risk for ICU admission (adjusted risk ratio [aRR]: 2.38; 95% CI: 1.42-4.01), oxygen supplementation (aRR: 1.86; 95% CI: 1.44-2.42), and hazard of in-hospital death (adjusted sub-hazard ratio [aSHR]: 2.00; 95% CI: 1.08-3.70). Among pregnant women, SARS-CoV-2 infection increased the risk of ICU admission (aRR: 2.0; 95% CI: 1.20-3.35), oxygen supplementation (aRR: 1.57; 95% CI: 1.17-2.11), and hazard of in-hospital death (aSHR: 5.03; 95% CI: 1.79-14.13).

CONCLUSIONS

Among hospitalized women in SSA, both SARS-CoV-2 infection and pregnancy independently increased risks of ICU admission, oxygen supplementation, and death. These data support international recommendations to prioritize COVID-19 vaccination among pregnant women.

Deep-learning-based seizure detection and prediction from electroencephalography signals

Electroencephalography (EEG) is among the main tools used for analyzing and diagnosing epilepsy. The manual analysis of EEG must be conducted by highly trained clinicians or neuro-physiologists; a process that is considered to have a comparatively low inter-rater agreement. Furthermore, the new data interpretation consumes an excessive amount of time and resources. Hence, an automatic seizure detection and prediction system can improve the quality of patient care in terms of shortening the diagnosis period, reducing manual errors, and automatically detecting debilitating events. Moreover, for patient treatment, it is important to alert the patients of epilepsy seizures prior to seizure occurrence. Various distinguished studies presented good solutions for two-class seizure detection problems with binary classification scenarios. To deal with these challenges, this paper puts forward effective approaches for EEG signal classification for normal, pre-ictal, and ictal activities. Three models are presented for the classification task. Two of them are patient-specific, while the third one is patient non-specific, which makes it better for the general classification tasks. The two-class classification is implemented between normal and pre-ictal activities for seizure prediction and between normal and ictal activities for seizure detection. A more generalized three-class classification framework is considered to identify all EEG signal activities. The first model depends on a Convolutional Neural Network (CNN) with residual blocks. It contains thirteen layers with four residual learning blocks. It works on spectrograms of EEG signal segments. The second model depends on a CNN with three layers. It also works on spectrograms. On the other hand, the third model depends on Phase Space Reconstruction (PSR) to eliminate the limitations of the spectrograms used in the first models. A five-layer CNN is used with this strategy. The advantage of the PSR is the direct projection from the time domain, which keeps the main trend of different signal activities. The third model deals with all signal activities, and it was tested for all patients of the CHB-MIT dataset. It has a superior performance compared to the first models and the state-of-the-art models.

Effects of long-term antiretroviral therapy in reproductive-age women in sub-Saharan Africa (the PEPFAR PROMOTE study): a multi-country observational cohort study

BACKGROUND

We report the long-term impact of ART in women of reproductive age (15-49 years) in Africa who have been using ART for up to 10 years. We assess outcomes of retention, adherence, maternal health, fertility intentions, and safety.

METHODS

This longitudinal, multicountry study (PROMOTE) enrolled women who initiated ART in an earlier perinatal clinical trial, PROMISE. PROMISE occurred from 2011 to 2016 and PROMOTE follow-up started in 2016 and is ongoing. The PROMOTE study was done at eight sites in four countries: Malawi (Blantyre and Lilongwe), South Africa (Durban and Soweto), Uganda (Kampala), and Zimbabwe (Harare, Seke North, and St Mary's). After baseline enrolment, women and their children are followed up every 6 months to collect information on medical history, antiretroviral therapy (ART) use, adherence, and health information, and to do physical examinations and laboratory tests. Obesity was defined as a body-mass index of 30 kg/m2 or more. Data analyses were restricted to summaries of the main long-term outcomes (retention, adherence, maternal health, fertility intentions, and safety). We used descriptive and stratified analyses, and estimated rates using person-years of follow-up and computed probabilities based on Kaplan-Meier methods.

FINDINGS

PROMOTE enrolled 1987 mothers and 2522 children. The median follow-up time for mothers was 41·8 (IQR 35·8-42·0) months and for children was 35·7 (23·8-42·0) months. Overall retention rates were 96·5% for mothers and 94·3% for children at 12 months, and, at 42 months, were 88·9% for mothers and 85·4% for children. 1115 (89·1%) of 1252 women had an undetectable viral load at 42 months, which varied by site (81·7-93·8%). Reported maternal health improved over time, with the proportion of women with excellent to very good health increasing from 67·5% at baseline to 87·5% at 42 months, the proportion of unwell participants who visited a health centre declining from 14·7% to 2·8%, and the proportion of those admitted to hospital declining from 1·5% to 1·0%. The desire to have more children was consistently high at some sites. The proportion of women with obesity was high in South Africa and increased over time from 40·2% at baseline to 52·8% at 42 months. The overall pregnancy rate was 17·6 (95% CI 16·5-18·7) per 100 women-years, and mortality rates were 2·4 (1·4-3·9) per 1000 person-years for mothers and 3·4 (2·2-5·10) per 1000 person-years for children (0-9 years).

INTERPRETATION

The findings from this multicountry study are reassuring. These findings show that African women can consistently use ART for a long period after initiation, and long-term benefits can be maintained. Services to support maternal HIV care, treatment, and reproductive health should be strengthened.

FUNDING

US President's Emergency Plan for AIDS Relief.

COVID-19 Clinical Profiles and Fatality Rates in Hospitalized Patients Reveal Case Aggravation and Selective Co-Infection by Limited Gram-Negative Bacteria

Bacterial co-infections may aggravate COVID-19 disease, and therefore being cognizant of other pathogens is imperative. We studied the types, frequency, antibiogram, case fatality rates (CFR), and clinical profiles of co-infecting-pathogens in 301 COVID-19 patients. Co-infection was 36% (n = 109), while CFR was 31.2% compared to 9.9% in non-co-infected patients (z-value = 3.1). Four bacterial species dominated, namely, multidrug-resistant Klebsiella pneumoniae (37%, n = 48), extremely drug-resistant Acinetobacter baumannii (26%, n = 34), multidrug-resistant Eschericia. coli (18.6%, n = 24), and extremely drug-resistant Pseudomonas aeruginosa (8.5%, n = 11), in addition to other bacterial species (9.3%, n = 12). Increased co-infection of K. pneumoniae and A. baumannii was associated with increased death rates of 29% (n = 14) and 32% (n = 11), respectively. Klebsiella pneumoniae was equally frequent in respiratory and urinary tract infections (UTI), while E. coli mostly caused UTI (67%), and A. baumannii and P. aeruginosa dominated respiratory infections (38% and 45%, respectively). Co-infections correlated with advance in age: seniors ≥ 50 years (71%), young adults 21–49 years (25.6%), and children 0–20 years (3%). These findings have significant clinical implications in the successful COVID-19 therapies, particularly in geriatric management. Future studies would reveal insights into the potential selective mechanism(s) of Gram-negative bacterial co-infection in COVID-19 patients.

Hybrid classification structures for automatic COVID-19 detection

This paper explores the issue of COVID-19 detection from X-ray images. X-ray images, in general, suffer from low quality and low resolution. That is why the detection of different diseases from X-ray images requires sophisticated algorithms. First of all, machine learning (ML) is adopted on the features extracted manually from the X-ray images. Twelve classifiers are compared for this task. Simulation results reveal the superiority of Gaussian process (GP) and random forest (RF) classifiers. To extend the feasibility of this study, we have modified the feature extraction strategy to give deep features. Four pre-trained models, namely ResNet50, ResNet101, Inception-v3 and InceptionResnet-v2 are adopted in this study. Simulation results prove that InceptionResnet-v2 and ResNet101 with GP classifier achieve the best performance. Moreover, transfer learning (TL) is also introduced in this paper to enhance the COVID-19 detection process. The selected classification hierarchy is also compared with a convolutional neural network (CNN) model built from scratch to prove its quality of classification. Simulation results prove that deep features and TL methods provide the best performance that reached 100% for accuracy.

Efficient Brain Tumor Detection Based on Deep Learning Models

Brain tumor is an acute cancerous disease that results from abnormal and uncontrollable cell division. Brain tumors are classified via biopsy, which is not normally done before the brain ultimate surgery. Recent advances and improvements in deep learning technology helped the health industry in getting accurate disease diagnosis. In this paper, a Convolutional Neural Network (CNN) is adopted with image pre-processing to classify brain Magnetic Resonance (MR) images into four classes: glioma tumor, meningioma tumor, pituitary tumor and normal patients, is provided. We use a transfer learning model, a CNN-based model that is designed from scratch, a pre-trained inceptionresnetv2 model and a pre-trained inceptionv3 model. The performance of the four proposed models is tested using evaluation metrics including accuracy, sensitivity, specificity, precision, F1_score, Matthew’s correlation coefficient, error, kappa and false positive rate. The obtained results show that the two proposed models are very effective in achieving accuracies of 93.15% and 91.24% for the transfer learning model and BRAIN-TUMOR-net based on CNN, respectively. The inceptionresnetv2 model achieves an accuracy of 86.80% and the inceptionv3 model achieves an accuracy of 85.34%. Practical implementation of the proposed models is presented.

Association of Maternal Viral Load and CD4 Count With Perinatal HIV-1 Transmission Risk During Breastfeeding in the PROMISE Postpartum Component

BACKGROUND

Breastfeeding mothers with HIV infection not qualifying for antiretroviral therapy (ART) based on country-specific guidelines at the time of the Promoting Maternal-Infant Survival Everywhere trial and their uninfected neonates were randomized to maternal ART (mART) or infant nevirapine prophylaxis (iNVP) postpartum. HIV transmission proportions were similar (<1%) in the 2 arms. We assessed whether maternal viral load (MVL) and CD4 cell counts were associated with breastfeeding HIV transmission.

METHODS

MVL was collected at entry (7-14 days postpartum) and at weeks 6, 14, 26, and 50 postpartum. CD4 cell counts were collected at entry and weeks 14, 26, 38, and 50 postpartum. Infant HIV-1 nucleic acid test was performed at weeks 1 and 6, every 4 weeks until week 26, and then every 12 weeks. The associations of baseline and time-varying MVL and CD4 cell counts with transmission risk were assessed using time-to-event analyses by randomized treatment arm.

RESULTS

Two thousand four hundred thirty-one mother-infant pairs were enrolled in the study. Baseline MVL (P = 0.11) and CD4 cell counts (P = 0.51) were not significantly associated with infant HIV-1 infection. Time-varying MVL was significantly associated with infant HIV-1 infection {hazard ratio [95% confidence interval (CI)]: 13.96 (3.12 to 62.45)} in the mART arm but not in the iNVP arm [hazard ratio (95% CI): 1.04 (0.20 to 5.39)]. Time-varying CD4 cell counts were also significantly associated with infant HIV-1 infection [hazard ratio (95% CI): 0.18 (0.03 to 0.93)] in the mART arm but not in the iNVP arm [hazard ratio (95% CI): 0.38 (0.08 to 1.77)].

CONCLUSIONS

In women receiving mART, increased MVL and decreased CD4 cell counts during breastfeeding were associated with increased risk of infant HIV-1 infection.

A Multi-Point Surveillance for Antimicrobial Resistance Profiles among Clinical Isolates of Gram-Negative Bacteria Recovered from Major Ha'il Hospitals, Saudi Arabia

The devastating nosocomial resistance is an on-going global concern. Surveillance of resistance is crucial for efficient patient care. This study was aimed to conduct a surveillance in four major Ha'il Hospitals from September to December 2020. Using a multipoint program, records of 621 non-duplicate Gram-negative cultures were tested across 21 drugs belonging to different categories. Major species were Klebsiella pneumoniae (n = 187, 30%), E. coli (n = 151, 24.5%), Pseudomonas aeruginosa, (n = 84, 13.6%), Acinetobacter baumannii (n = 82, 13.3%), and Proteus mirabilis (n = 46, 7%). Based on recent resistance classifications, A. baumanni, P. aeruginosa, and enteric bacteria were defined as pan-resistant, extremely resistant, and multi-drug resistant, respectively. A. baumannii (35%) and K. pneumoniae (23%) dominated among coinfections in SARS-CoV2 patients. The "other Gram-negative bacteria" (n = 77, 12.5%) from diverse sources showed unique species-specific resistance patterns, while sharing a common Gram-negative resistance profile. Among these, Providencia stuartii was reported for the first time in Ha'il. In addition, specimen source, age, and gender differences played significant roles in susceptibility. Overall infection rates were 30% in ICU, 17.5% in medical wards, and 13.5% in COVID-19 zones, mostly in male (59%) senior (54%) patients. In ICU, infections were caused by P. mirabilis (52%), A. baumannii (49%), P. aeruginosa (41%), K. pneumoniae (24%), and E.&nbsp;coli (21%), and most of the respiratory infections were caused by carbapenem-resistant A. baumannii and K. pneumoniae and UTI by K. pneumoniae and E.&nbsp;coli. While impressive IC, hospital performances, and alternative treatment options still exist, the spread of resistant Gram-negative bacteria is concerning especially in geriatric patients. The high selective SARS-CoV2 coinfection by A. baumannii and K. pneumoniae, unlike the low global rates, warrants further vertical studies. Attributes of resistances are multifactorial in Saudi Arabia because of its global partnership as the largest economic and pilgrimage hub with close social and cultural ties in the region, especially during conflicts and political unrests. However, introduction of advanced inter-laboratory networks for genome-based surveillances is expected to reduce nosocomial resistances.

Mid-thigh circumference as an indicator of nutritional status to predict adverse pregnancy outcomes among HIV-infected and HIV-uninfected women in Malawi

BACKGROUND

High rates of adverse pregnancy outcomes globally raise the need to understand risk factors and develop preventative interventions. The Pregnancy Outcomes in the Era of Universal Antiretroviral Treatment in Sub-Saharan Africa (POISE Study) was a prospective, observational cohort study conducted from 2016 to 2017 in Blantyre, Malawi. We examine the associations between indicators of nutritional status, specifically mid-thigh circumference (MTC) and body-mass index (BMI), and adverse pregnancy outcomes, low birth weight (LBW), preterm birth (PTB), and small-for-gestational age (SGA), in a cohort of HIV-infected and HIV-uninfected women.

METHODS

Sociodemographic, clinical, laboratory, and maternal height, weight and MTC data were collected immediately before or after delivery at the Queen Elizabeth Central Hospital (QEHC) and 4 affiliated health centers in Blantyre, Malawi. LBW was defined as birth weight < 2.5 kg; PTB as gestational age < 37 weeks using Ballard score; and SGA as birth weight < 10th percentile for gestational age. Descriptive, stratified, and multivariable logistic regression were conducted using R.

RESULTS

Data from 1298 women were analyzed: 614 HIV-infected and 684 HIV-uninfected. MTC was inversely associated with LBW (adjusted odds ratio [aOR] = 0.95, p = 0.03) and PTB (aOR 0.92, p < 0.001), after controlling for HIV status, age, socioeconomic status and hemoglobin. The association between MTC and SGA was (aOR 0.99, p = 0.53). Similarly, higher BMI was significantly associated with lower odds of PTB (aOR 0.90, p < 0.001), LBW (aOR 0.93, p = 0.05), and SGA (aOR 0.95, p = 0.04).

CONCLUSIONS

We observed an inverse relationship between MTC and adverse pregnancy outcomes in Malawi irrespective of HIV infection. MTC performs comparably to BMI; the ease of measuring MTC could make it a practical tool in resource-constrained settings for identification of women at risk of adverse pregnancy outcomes.

Maternal HIV drug resistance is associated with vertical transmission and is prevalent in infected infants

BACKGROUND

We aimed to assess if maternal HIV drug resistance is associated with an increased risk of HIV vertical transmission and to describe the dynamics of drug resistance in HIV-infected infants.

METHODS

A case-control study of PROMISE study participants. "Cases" were mother-infant pairs with HIV vertical transmission during pregnancy or breastfeeding and "controls" were mother-infant pairs without transmission matched 1:3 by delivery date and clinical site. Genotypic HIV drug resistance analyses were performed on mothers' and their infants' plasma at or near the time of infant HIV diagnosis. Longitudinal analysis of genotypic resistance was assessed in available specimens from infants, from diagnosis and beyond, including ART initiation and last study visits.

RESULTS

Our analyses included 85 cases and 255 matched controls. Maternal HIV drug resistance, adjusted for plasma HIV RNA load at infant HIV diagnosis, enrollment CD4 count, and antepartum regimens, was not associated with in utero/peripartum HIV transmission. In contrast, both maternal plasma HIV RNA load and HIV drug resistance were independent risk factors associated with vertical transmission during breastfeeding. Furthermore, HIV drug resistance was selected across infected infants during infancy.

CONCLUSIONS

Maternal HIV drug resistance and maternal viral load were independent risk factors for vertical transmission during breastfeeding, suggesting that nevirapine alone may be insufficient infant prophylaxis against drug-resistant variants in maternal breast milk. These findings support efforts to achieve suppression of HIV replication during pregnancy and suggest that breastfeeding infants may benefit from prophylaxis with a greater barrier to drug resistance than nevirapine alone.

Comparison of dried blood spot and plasma sampling for untargeted metabolomics

INTRODUCTION

Untargeted metabolomics holds significant promise for biomarker detection and development. In resource-limited settings, a dried blood spot (DBS)-based platform would offer significant advantages over plasma-based approaches that require a cold supply chain.

OBJECTIVES

The primary goal of this study was to compare the ability of DBS- and plasma-based assays to characterize maternal metabolites. Utility of the two assays was also assessed in the context of a case-control predictive model in pregnant women living with HIV.

METHODS

Untargeted metabolomics was performed on archived paired maternal plasma and DBS from n = 79 women enrolled in a large clinical trial.

RESULTS

A total of 984 named biochemicals were detected across both plasma and DBS samples, of which 627 (63.7%), 260 (26.4%), and 97 (9.9%) were detected in both plasma and DBS, plasma alone, and DBS alone, respectively. Variation attributable to study individual (R² = 0.54, p < 0.001) exceeded that of the sample type (R² = 0.21, p < 0.001), suggesting that both plasma and DBS were capable of differentiating individual metabolomic profiles. Log-transformed metabolite abundances were strongly correlated (mean Spearman rho = 0.51) but showed low agreement (mean intraclass correlation of 0.15). However, following standardization, DBS and plasma metabolite profiles were strongly concordant (mean intraclass correlation of 0.52). Random forests classification models for cases versus controls identified distinct feature sets with comparable performance in plasma and DBS (86.5% versus 91.2% mean accuracy, respectively).

CONCLUSION

Maternal plasma and DBS samples yield distinct metabolite profiles highly predictive of the individual subject. In our case study, classification models showed similar performance albeit with distinct feature sets. Appropriate normalization and standardization methods are critical to leverage data from both sample types. Ultimately, the choice of sample type will likely depend on the compounds of interest as well as logistical demands.

Deep convolutional neural networks for COVID-19 automatic diagnosis

This article is mainly concerned with COVID‐19 diagnosis from X‐ray images. The number of cases infected with COVID‐19 is increasing daily, and there is a limitation in the number of test kits needed in hospitals. Therefore, there is an imperative need to implement an efficient automatic diagnosis system to alleviate COVID‐19 spreading among people. This article presents a discussion of the utilization of convolutional neural network (CNN) models with different learning strategies for automatic COVID‐19 diagnosis. First, we consider the CNN‐based transfer learning approach for automatic diagnosis of COVID‐19 from X‐ray images with different training and testing ratios. Different pre‐trained deep learning models in addition to a transfer learning model are considered and compared for the task of COVID‐19 detection from X‐ray images. Confusion matrices of these studied models are presented and analyzed. Considering the performance results obtained, ResNet models (ResNet18, ResNet50, and ResNet101) provide the highest classification accuracy on the two considered datasets with different training and testing ratios, namely 80/20, 70/30, 60/40, and 50/50. The accuracies obtained using the first dataset with 70/30 training and testing ratio are 97.67%, 98.81%, and 100% for ResNet18, ResNet50, and ResNet101, respectively. For the second dataset, the reported accuracies are 99%, 99.12%, and 99.29% for ResNet18, ResNet50, and ResNet101, respectively. The second approach is the training of a proposed CNN model from scratch. The results confirm that training of the CNN from scratch can lead to the identification of the signs of COVID‐19 disease.

Comparison of adverse birth outcomes among HIV-infected and HIV-uninfected women delivering in high and low risk settings in the era of universal ART in Malawi: a registry study

Background: Recent studies show that ART is associated with an adverse birth outcome in HIV-infected women.Aim: To compare rates of low birthweight (LBW) and preterm birth (PTB) between HIV-infected women receiving lifelong ART and HIV-uninfected women giving birth in low- and high-risk settings in Malawi.Methods: This observational, registry study was conducted from January 2016 to August 2017 in one large, tertiary referral hospital and four primary healthcare (PHC) facilities in Blantyre, Malawi. Women who delivered singleton live births or stillbirths of ≥20 weeks gestation were included in the analysis. Descriptive and stratified analyses were conducted using χ² tests and multivariable logistic models to control for maternal age, gravidity and health facility.Results: A total of 14,233 births were included in the analysis (7715 from the tertiary hospital and 6518 from PHC facilities). In the univariable analysis, there were no differences in rates of LBW (6.7% vs 6.4%) and PTB (42.5% vs 42.0%) between HIV-infected and -uninfected women delivering in PHC facilities. However, differences in LBW were significantly higher in HIV-infected women in multivariable analysis (LBW aOR 1.40, 95% CI 1.01-1.95). Rates of LBW and PTB were significantly higher in HIV-infected women than in uninfected women delivering at the tertiary hospital (LBW 17.6% vs 13.2%, aOR 1.53, 95% CI 1.27-1.85; PTB 28.2% vs 24.9%, aOR 1.37, 95% CI 1.17-1.60)Conclusion: Rates of adverse birth outcomes are significantly higher in HIV-infected women than in HIV-uninfected women, and this is more apparent in high-risk hospital settings than in low-risk PHC settings.

Brief Report: Impact of ART on Maternal Health After Cessation of Breastfeeding

ABSTRACT

IMPAACT PROMISE 1077BF/FF was a sequentially randomized study of pregnant and postpartum women living with HIV to investigate the efficacy and safety of antiretroviral therapy (ART). This Maternal Health Component investigated efficacy for the risk of developing AIDS or death; and safety among women randomized to continue ART (CTART: N = 289) or discontinue ART (N = 268) after cessation of breastfeeding or after confirmation of infant infection. No AIDS-defining illnesses were reported during follow-up in either arm. Adverse events of grade 3 or higher were more frequent in the CTART arm [hazard ratio = 1.78, 95% confidence interval: (1.05 to 3.02), P-value = 0.03]. The difference in adverse events in the 2 groups was mostly driven by moderate weight loss for women on the CTART arm.

Safety, uptake, and use of a dapivirine vaginal ring for HIV-1 prevention in African women (HOPE): an open-label, extension study

BACKGROUND

Two phase 3 clinical trials showed that use of a monthly vaginal ring containing 25 mg dapivirine was well tolerated and reduced HIV-1 incidence in women by approximately 30% compared with placebo. We aimed to evaluate use and safety of the dapivirine vaginal ring (DVR) in open-label settings with high background rates of HIV-1 infection, an important step for future implementation.

METHODS

We did a phase 3B open-label extension trial of the DVR (MTN-025/HIV Open-label Prevention Extension [HOPE]). Women who were HIV-1-negative and had participated in the MTN-020/ASPIRE phase 3 trial were offered 12 months of access to the DVR at 14 clinical research centres in Malawi, South Africa, Uganda, and Zimbabwe. At each visit (monthly for 3 months, then once every 3 months), women chose whether or not to accept the offer of the ring. Used, returned rings were tested for residual amounts of dapivirine as a surrogate marker for adherence. HIV-1 serological testing was done at each visit. Dapivirine amounts in returned rings and HIV-1 incidence were compared with data from the ASPIRE trial, and safety was assessed. This study is registered with ClinicalTrials.gov, NCT02858037.

FINDINGS

Between July 16, 2016, and Oct 10, 2018, of 1756 women assessed for eligibility, 1456 were enrolled and participated in the study. Median age was 31 years (IQR 27-37). At baseline, 1342 (92·2%) women chose to take the DVR; ring acceptance was more than 79% at each visit up until 12 months and 936 (73·2%) of 1279 chose to take the ring at all visits. 12 530 (89·3%) of 14 034 returned rings had residual dapivirine amounts consistent with some use during the previous month (>0·9 mg released) and the mean dapivirine amount released was greater than in the ASPIRE trial (by 0·21 mg; p<0·0001). HIV-1 incidence was 2·7 per 100 person-years (95% CI 1·9-3·8, 35 infections), compared with an expected incidence of 4·4 per 100 person-years (3·2-5·8) among a population matched on age, site, and presence of a sexually transmitted infection from the placebo group of ASPIRE. No serious adverse events or grade 3 or higher adverse events observed were assessed as related to the DVR.

INTERPRETATION

High uptake and persistent use in this open-label extension study support the DVR as an HIV-1 prevention option for women. With an increasing number of HIV-1 prophylaxis choices on the horizon, these results suggest that the DVR will be an acceptable and practical option for women in Africa.

FUNDING

The Microbicide Trials Network and the National Institute of Allergy and Infectious Diseases, The Eunice Kennedy Shriver National Institute of Child Health and Human Development, and the National Institute of Mental Health, all components of the US National Institutes of Health.

Effect of SARS-CoV-2 Infection in Pregnancy on Maternal and Neonatal Outcomes in Africa: An AFREhealth Call for Evidence through Multicountry Research Collaboration

In the African context, there is a paucity of data on SARS-CoV-2 infection and associated COVID-19 in pregnancy. Given the endemicity of infections such as malaria, HIV, and tuberculosis (TB) in sub-Saharan Africa (SSA), it is important to evaluate coinfections with SARS-CoV-2 and their impact on maternal/infant outcomes. Robust research is critically needed to evaluate the effects of the added burden of COVID-19 in pregnancy, to help develop evidence-based policies toward improving maternal and infant outcomes. In this perspective, we briefly review current knowledge on the clinical features of COVID-19 in pregnancy; the risks of preterm birth and cesarean delivery secondary to comorbid severity; the effects of maternal SARS-CoV-2 infection on the fetus/neonate; and in utero mother-to-child SARS-CoV-2 transmission. We further highlight the need to conduct multicountry surveillance as well as retrospective and prospective cohort studies across SSA. This will enable assessments of SARS-CoV-2 burden among pregnant African women and improve the understanding of the spectrum of COVID-19 manifestations in this population, which may be living with or without HIV, TB, and/or other coinfections/comorbidities. In addition, multicountry studies will allow a better understanding of risk factors and outcomes to be compared across countries and subregions. Such an approach will encourage and strengthen much-needed intra-African, south-to-south multidisciplinary and interprofessional research collaborations. The African Forum for Research and Education in Health's COVID-19 Research Working Group has embarked upon such a collaboration across Western, Central, Eastern and Southern Africa.

Resumption of postpartum sexual activity and menses among HIV-infected women on lifelong antiretroviral treatment compared to HIV-uninfected women in Africa

OBJECTIVE

To determine time from delivery to resumption of sexual activity and menses among HIV-infected women on antiretroviral treatment (ART) and HIV-uninfected women.

METHODS

HIV-infected women on ART and HIV-uninfected women were recruited from five health facilities at delivery and followed prospectively for a maximum of 1 year in Blantyre, Malawi from January 2016 to September 2017. Sociodemographic, clinical, and laboratory data were collected at delivery and 1.5, 3, 6, 9, and 12 months. Descriptive, time to event Kaplan-Meier, and multivariable Cox proportional hazards analyses were conducted.

RESULTS

Data on 878 women (460 [52.4%] HIV-uninfected and 418 [47.6%] HIV-infected, P=0.156) who attended at least one follow-up visit were analyzed. Among HIV-uninfected compared to HIV-infected women, respectively, the median number of days to resumption of sexual activity was 180 vs 181; to irregular menses was 82 vs 71; and to regular menses was 245 vs 366. In multivariable models, being married was associated with early resumption of sexual activity (hazard ratio [HR] 1.91, P<0.001), and being HIV-infected and use of an effective method of family planning were associated with later start of regular menses (HR<1.0, P<0.050).

CONCLUSION

Counseling of women on reproductive intentions should start early irrespective of HIV infection or use of ART.

Risk Factors for Adverse Birth Outcomes in the PROMISE 1077BF/1077FF Trial

BACKGROUND

In the multicountry PROMISE 1077BF/1077FF trial, the risk of low birth weight (LBW; <2500 g) and preterm delivery (PTD; <37 weeks) was significantly higher among women initiating a protease inhibitor-based antiretroviral treatment (ART) regimen than those receiving ZDV alone. Among those assigned to a protease inhibitor regimen, tenofovir/emtricitabine was associated with the more severe outcomes of very LBW (<1500 g) and very PTD (<34 weeks) compared with zidovudine/lamivudine.

METHODS

We used multivariate logistic regression to further explore these treatment findings, taking into account demographic baseline clinical and postentry obstetrical factors. We evaluated individual adverse outcomes and composites that included stillbirth and early loss/spontaneous abortion.

RESULTS

Among 3333 women delivering at least 1 live infant, median maternal age at enrollment was 26 years; 661 (20%) were primiparous, and 110 (3.3%) reported at least 1 previous PTD. Seventeen percent of newborns were LBW, 1% were very LBW, 17% had PTD, and 3% had very PTD. Treatment allocation remained strongly associated with multiple adverse outcomes after controlling for other risk factors with both ART regimens exhibiting increased risk relative to ZDV alone. Other risk factors remaining significant in at least one of the multivariate models included the following: country, gestational age at entry, maternal age, maternal body mass index, previous PTD, history of alcohol use, baseline HIV viral titer, multiple gestation, and several obstetric risk factors.

CONCLUSIONS

ART effects on adverse pregnancy outcomes reported in the randomized PROMISE trial remained strongly significant even after controlling for demographic, baseline clinical, and obstetrical risk factors, which were also associated with these outcomes.

Visual representation of DNA sequences for exon detection using non-parametric spectral estimation techniques

This paper presents a new approach for modeling of DNA sequences for the purpose of exon detection. The proposed model adopts the sum-of-sinusoids concept for the representation of DNA sequences. The objective of the modeling process is to represent the DNA sequence with few coefficients. The modeling process can be performed on the DNA signal as a whole or on a segment-by-segment basis. The created models can be used instead of the original sequences in a further spectral estimation process for exon detection. The accuracy of modeling is evaluated evaluated by using the Root Mean Square Error (RMSE) and the R-square metrics. In addition, non-parametric spectral estimation methods are used for estimating the spectral of both original and modeled DNA sequences. The results of exon detection based on original and modeled DNA sequences coincide to a great extent, which ensures the success of the proposed sum-of-sinusoids method for modeling of DNA sequences.

Pregnancy Outcomes in the Era of Universal Antiretroviral Treatment in Sub-Saharan Africa (POISE Study)

BACKGROUND

Adverse pregnancy outcomes such as preterm birth (PTB), low birth weight (LBW), and small for gestational age (SGA) remain major global problems. We compared pregnancy outcomes among HIV-infected women receiving antiretroviral treatment (ART) and with CD4 ≥350 cells, and HIV-uninfected women to assess whether disparities associated with HIV infection have been eliminated through use of ART.

SETTING

Observational study conducted at 5 health facilities in Blantyre, Malawi, during 2016-2017.

METHODS

HIV-infected women receiving the national ART regimen (efavirenz + lamivudine + tenofovir) and HIV-uninfected women were consented and enrolled at delivery. Data collected included sociodemographic and clinical; gestational age; BW; infant/maternal anthropometry; and laboratory results. We defined PTB as GA <37 weeks; LBW as BW <2·5 kg; and SGA as BW <10th percentile of GA. SGA infants were classified into proportionate and disproportionate based on ponderal index. Descriptive, stratified, and multivariate logistic and linear regression analyses were used.

RESULTS

Of 5423 women approached, 614 HIV-infected and 685 HIV-uninfected women were enrolled. Rates of PTB, LBW, and SGA were 10.6%, 7.2%, and 17.1% among HIV-infected women on ART and 9.5%, 5.0%, and 18.4% among HIV-uninfected women, respectively. None of these differences were statistically significant in univariate- or multivariate-adjusted analyses (P > 0.05). Of 231 SGA infants, 78.8% were proportionate and 21% were disproportionate. Of the 614 HIV-infected women on ART, 75% had undetectable virus at delivery.

CONCLUSIONS

ART use has reduced the high rates of adverse pregnancy outcomes among HIV-infected women. However, the rates remain high irrespective of HIV infection and require appropriate interventions.

The multi-country PROMOTE HIV antiretroviral treatment observational cohort in Sub-Saharan Africa: Objectives, design, and baseline findings

BACKGROUND

The PROMOTE study aims to measure long-term antiretroviral treatment (ART) safety and adherence; compare HIV disease progression; assess subsequent adverse pregnancy outcomes; evaluate effect of ART exposure on growth and development in HIV-exposed uninfected children; and assess long-term survival of mothers and children. This report primarily describes cohort characteristics at baseline to better understand long-term outcomes.

METHODS AND FINDINGS

This is a prospective study. HIV-infected mothers and their children originally recruited in a multisite randomized clinical trial for prevention of perinatal HIV transmission were re-enrolled in PROMOTE. A total of 1987 mothers and 1784 children were enrolled from eight sites in Uganda, Malawi, Zimbabwe and South Africa. Most women (≥75%) reported being married in Malawi and Zimbabwe compared to low proportions in South Africa (4.4% in Durban and 15% in Soweto), and 43.5% in Uganda (p<0.001). There were variabilities in contraceptive practices: injectable contraceptive was the commonest reported method (40.9% overall); implant was the second commonest (15.7% overall); oral contraceptives were common in Zimbabwe; and tubal ligation was common in Malawi and South Africa. At baseline, 97.8% of women reported currently using ART; 96.4% were in WHO clinical class 1 or 2; median CD4 cell count was 825 cells per uL; and viral load was undetectable in 1637 (~85%) of the women. Approximately, 14% of women did not inform their primary partners of their own HIV status, 18% reported that they knew their partners were not HIV tested, and 9% did not know if partner was tested. Overall mean age of children at enrollment was 3.5 years; and 5.7% and 25.0% had weight-for-age and height-for-age z-scores <2 standard deviations, respectively.

CONCLUSIONS

These baseline data show high adherence to ART use. However, issues of HIV disclosure and reproductive intentions remain important. In addition to ART and ensuring high adherence, other preventive measures should be included.

Use of effective family planning methods and frequency of sex among HIV-infected and HIV-uninfected African women

Background

Frequency of sex, contraceptive use and HIV infection are key determinants of fertility. Use of an effective family planning (EFP) method (injectable, oral, intra-uterine contraceptive device (IUCD), or Norplant) potentially eliminates women’s concerns of unintended pregnancy. We report the association between EFP and frequency of sex among HIV-infected and HIV-uninfected non-pregnant African women.

Methods

Prospective fertility intentions study nested within a phase 3 randomized double-masked placebo-controlled trial (2003-2005) to treat genital tract infections in HIV-infected and HIV-uninfected non-pregnant women. Enrollment of study participants was stratified by HIV infection status. Data on demographics, family planning and sexual history were obtained at baseline and at 3, 6, 9 and 12 months. Chi square and Wilcoxon Rank-Sum tests were used to compare categorical and continuous variables, respectively. Generalized Estimating Equations method was used to estimate relative risk (RR) of frequent sex (≥ 2 acts/week) among users of different EFP methods (injectable, oral, implant or intra-uterine contraceptive device).

Results

After adjusting for age, current health status, and fertility intentions, EFP use was significantly associated with frequent sex among HIV-infected women (RR 1.32; 95% Confidence Interval [CI] 1.14-1.52); this association was not statistically significant among HIV-uninfected women (RR 1.10; 95% CI 0.96-1.24). Fertility intentions among HIV-infected, and education among HIV-uninfected womenwere independent predictors of sex frequency.

Conclusion

These data suggest that the association between EFP use and frequency of sex among women varies by HIV infection status. Service-delivery of diverse EFP methods should be integrated within HIV counseling, testing and treatment facilities.

Trial registration

Registration number NCT00140764 under the clinicaltrials.gov, first Posted: September 1, 2005, last Update Posted: August 10, 2011.

Use of a Vaginal Ring Containing Dapivirine for HIV-1 Prevention in Women

BACKGROUND

Antiretroviral medications that are used as prophylaxis can prevent acquisition of human immunodeficiency virus type 1 (HIV-1) infection. However, in clinical trials among African women, the incidence of HIV-1 infection was not reduced, probably because of low adherence. Longer-acting methods of drug delivery, such as vaginal rings, may simplify use of antiretroviral medications and provide HIV-1 protection.

METHODS

We conducted a phase 3, randomized, double-blind, placebo-controlled trial of a monthly vaginal ring containing dapivirine, a non-nucleoside HIV-1 reverse-transcriptase inhibitor, involving women between the ages of 18 and 45 years in Malawi, South Africa, Uganda, and Zimbabwe.

RESULTS

Among the 2629 women who were enrolled, 168 HIV-1 infections occurred: 71 in the dapivirine group and 97 in the placebo group (incidence, 3.3 and 4.5 per 100 person-years, respectively). The incidence of HIV-1 infection in the dapivirine group was lower by 27% (95% confidence interval [CI], 1 to 46; P=0.046) than that in the placebo group. In an analysis that excluded data from two sites that had reduced rates of retention and adherence, the incidence of HIV-1 infection in the dapivirine group was lower by 37% (95% CI, 12 to 56; P=0.007) than that in the placebo group. In a post hoc analysis, higher rates of HIV-1 protection were observed among women over the age of 21 years (56%; 95% CI, 31 to 71; P<0.001) but not among those 21 years of age or younger (-27%; 95% CI, -133 to 31; P=0.45), a difference that was correlated with reduced adherence. The rates of adverse medical events and antiretroviral resistance among women who acquired HIV-1 infection were similar in the two groups.

CONCLUSIONS

A monthly vaginal ring containing dapivirine reduced the risk of HIV-1 infection among African women, with increased efficacy in subgroups with evidence of increased adherence. (Funded by the National Institutes of Health; ClinicalTrials.gov number, NCT01617096 .).

Benefits and Risks of Antiretroviral Therapy for Perinatal HIV Prevention

BACKGROUND

Randomized-trial data on the risks and benefits of antiretroviral therapy (ART) as compared with zidovudine and single-dose nevirapine to prevent transmission of the human immunodeficiency virus (HIV) in HIV-infected pregnant women with high CD4 counts are lacking.

METHODS

We randomly assigned HIV-infected women at 14 or more weeks of gestation with CD4 counts of at least 350 cells per cubic millimeter to zidovudine and single-dose nevirapine plus a 1-to-2-week postpartum "tail" of tenofovir and emtricitabine (zidovudine alone); zidovudine, lamivudine, and lopinavir-ritonavir (zidovudine-based ART); or tenofovir, emtricitabine, and lopinavir-ritonavir (tenofovir-based ART). The primary outcomes were HIV transmission at 1 week of age in the infant and maternal and infant safety.

RESULTS

The median CD4 count was 530 cells per cubic millimeter among 3490 primarily black African HIV-infected women enrolled at a median of 26 weeks of gestation (interquartile range, 21 to 30). The rate of transmission was significantly lower with ART than with zidovudine alone (0.5% in the combined ART groups vs. 1.8%; difference, -1.3 percentage points; repeated confidence interval, -2.1 to -0.4). However, the rate of maternal grade 2 to 4 adverse events was significantly higher with zidovudine-based ART than with zidovudine alone (21.1% vs. 17.3%, P=0.008), and the rate of grade 2 to 4 abnormal blood chemical values was higher with tenofovir-based ART than with zidovudine alone (2.9% vs. 0.8%, P=0.03). Adverse events did not differ significantly between the ART groups (P>0.99). A birth weight of less than 2500 g was more frequent with zidovudine-based ART than with zidovudine alone (23.0% vs. 12.0%, P<0.001) and was more frequent with tenofovir-based ART than with zidovudine alone (16.9% vs. 8.9%, P=0.004); preterm delivery before 37 weeks was more frequent with zidovudine-based ART than with zidovudine alone (20.5% vs. 13.1%, P<0.001). Tenofovir-based ART was associated with higher rates than zidovudine-based ART of very preterm delivery before 34 weeks (6.0% vs. 2.6%, P=0.04) and early infant death (4.4% vs. 0.6%, P=0.001), but there were no significant differences between tenofovir-based ART and zidovudine alone (P=0.10 and P=0.43). The rate of HIV-free survival was highest among infants whose mothers received zidovudine-based ART.

CONCLUSIONS

Antenatal ART resulted in significantly lower rates of early HIV transmission than zidovudine alone but a higher risk of adverse maternal and neonatal outcomes. (Funded by the National Institutes of Health; PROMISE ClinicalTrials.gov numbers, NCT01061151 and NCT01253538 .).

Antiretroviral Therapy for the Prevention of HIV-1 Transmission

BACKGROUND

An interim analysis of data from the HIV Prevention Trials Network (HPTN) 052 trial showed that antiretroviral therapy (ART) prevented more than 96% of genetically linked infections caused by human immunodeficiency virus type 1 (HIV-1) in serodiscordant couples. ART was then offered to all patients with HIV-1 infection (index participants). The study included more than 5 years of follow-up to assess the durability of such therapy for the prevention of HIV-1 transmission.

METHODS

We randomly assigned 1763 index participants to receive either early or delayed ART. In the early-ART group, 886 participants started therapy at enrollment (CD4+ count, 350 to 550 cells per cubic millimeter). In the delayed-ART group, 877 participants started therapy after two consecutive CD4+ counts fell below 250 cells per cubic millimeter or if an illness indicative of the acquired immunodeficiency syndrome (i.e., an AIDS-defining illness) developed. The primary study end point was the diagnosis of genetically linked HIV-1 infection in the previously HIV-1-negative partner in an intention-to-treat analysis.

RESULTS

Index participants were followed for 10,031 person-years; partners were followed for 8509 person-years. Among partners, 78 HIV-1 infections were observed during the trial (annual incidence, 0.9%; 95% confidence interval [CI], 0.7 to 1.1). Viral-linkage status was determined for 72 (92%) of the partner infections. Of these infections, 46 were linked (3 in the early-ART group and 43 in the delayed-ART group; incidence, 0.5%; 95% CI, 0.4 to 0.7) and 26 were unlinked (14 in the early-ART group and 12 in the delayed-ART group; incidence, 0.3%; 95% CI, 0.2 to 0.4). Early ART was associated with a 93% lower risk of linked partner infection than was delayed ART (hazard ratio, 0.07; 95% CI, 0.02 to 0.22). No linked infections were observed when HIV-1 infection was stably suppressed by ART in the index participant.

CONCLUSIONS

The early initiation of ART led to a sustained decrease in genetically linked HIV-1 infections in sexual partners. (Funded by the National Institute of Allergy and Infectious Diseases; HPTN 052 ClinicalTrials.gov number, NCT00074581 .).