A pleuroperitoneal leak (PPL) is a relatively rare complication of peritoneal dialysis (PD) and early diagnosis is essential. Patients suspected of a PPL usually present with dyspnea (marked during inflow of PD fluid) and tend to have transudative high glucose pleural effusions. The PPL scintigraphy (PPLS) is one of the methods for objectively proving a PPL. The effectiveness of PPLS as a noninvasive method of evaluating a suspected PPL and its effectiveness in the exclusion of a leak in patients with similarly presenting comorbidities was assessed. Patients suspected to have a PPL were considered for PPLS based on clinical presentation and pleural fluid analysis. Radiopharmaceutical was administered into the peritoneum via the dialysis port with the patient lying supine and immediate dynamic followed by delayed statics were acquired. Of the 27 scans reviewed, 70% were found to be positive with majority detected within 12 minutes of radiopharmaceutical administration with a high predominance occurring in the right chest ( P < .001). In PPLS-positive patients, when both chest X-rays and planar agreed on showing the right-sided chest predominance, the highest measurements of the pleural glucose:serum glucose ratio were recorded. A statistically significant correlation between the outcome of the scan and final decision on patient management was noted ( P < .01). The PPLS is an effective diagnostic tool for assessing PPLS. However, multicenter studies investigating its added value over other conventional methods are needed to establish it as a highly relevant diagnostic tool.

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Introduction Past endeavours to deal with the obstacle of expensive Cluster of Difference 4 (CD4 + ) count diagnostics in resource-limited settings have left a long trail of suggested continuous CD4 + count clinical covariates that turned out to be a potentially important integral part of the human immunodeficiency virus (HIV) treatment process during disease progression. However, an evaluation to determine the strongest candidates among these CD4 + count covariates has not been well documented. Methods The Centre for the AIDS Programme of Research in South Africa (CAPRISA) initially enrolled HIV-negative (phase 1) patients into different study cohorts. The patients who seroconverted (237) during follow-up care were enrolled again into a post-HIV infection cohort where they were further followed up with weekly to fortnightly visits up to 3 months (phase 2: acute infection), monthly visits from 3–12 months (phase 3: early infection) and quarterly visits thereafter (phase 4: established infection) until antiretroviral therapy (ART) initiation (phase 5). The CD4 + count and 46 covariates were repeatedly measured at each phase of the HIV disease progression. A multilevel partial least squares approach was applied as a variable reduction technique to determine the strongest CD4 + count covariates. Results Only 18 of the 46 investigated clinical attributes were the strongest CD4 + count covariates and the top 8 were positively and independently associated with the CD4 + count. Besides the confirmatory lymphocytes , these were basophils , albumin , haematocrit , alkaline phosphatase (ALP) , mean corpuscular volume (MCV) , platelets , potassium and monocytes . Overall, electrolytes, proteins and red blood cells were the dominant categories for the strongest covariates. Conclusion Only a few of the many previously suggested continuous CD4 + count clinical covariates showed the potential to become an important integral part of the treatment process. Prolonging the pre-treatment period of the HIV disease progression by effectively incorporating and managing the covariates for long-term influence on the CD4 + cell response has the potential to delay challenges associated with ART side effects. Electronic supplementary material The online version of this article (10.1007/s40121-019-0235-4) contains supplementary material, which is available to authorized users.

In response to invasion by the human immunodeficiency virus (HIV), the self-regulatory immune system attempts to restore the CD4+ count fluctuations. Consequently, many clinical covariates are bound to adapt too, but little is known about their corresponding new optimal set points. It has been reported that there exist few strongest clinical covariates of the CD4+ count. The objective of this study is to harness them for a streamlined application of multidimensional viewing lens (statistical models) to zoom into the behavioural patterns of the adaptive optimal set points. We further postulated that the optimal set points of some of the strongest covariates are possibly controlled by dietary conditions or otherwise to enhance the CD4+ count. This study investigated post-HIV infection (acute to therapy phases) records of 237 patients involving repeated measurements of 17 CD4+ count clinical covariates that were found to be the strongest. The overall trends showed either downwards, upwards, or irregular behaviour. Phase-specific trends were mostly different and unimaginable, with LDH and red blood cells producing the most complex CD4+ count behaviour. The approximate optimal set points for dietary-related covariates were total protein 60–100 g/L (acute phase), <85 g/L (early phase), <75 g/L (established phase), and >85 g/L (ART phase), whilst albumin approx. 30–50 g/L (acute), >45 g/L (early and established), and <37 g/L (ART). Sodium was desirable at approx. <45 mEq/L (acute and early), <132 mEq/L (established), and >134 mEq/L (ART). Overall, desirable approximates were albumin >42 g/L, total protein <75 g/L, and sodium <137 mEq/L. We conclude that the optimal set points of the strongest CD4+ count clinical covariates tended to drift and adapt to either new ranges or overlapped with the known reference ranges to positively influence the CD4+ cell counts. Recommendation for phase-specific CD4+ cell count influence in adaptation to HIV invasion includes monitoring of the strongest covariates related to dietary conditions (sodium, albumin, and total protein), tissue oxygenation (red blood cells and its haematocrit), and hormonal control (LDH and ALP).

Several reports indicate that BV-positive women have a higher incidence of HIV infection. Furthermore, an increased severity of BV is associated with increased prevalence of HIV. 13,14,15,16 Untreated BV is associated with severe pregnancy outcomes which includes late miscarriages, preterm labour, premature rupture of membranes (PROMs), post-partum endometritis, low birth Background: Vaginal swabs have been traditionally used for the diagnosis of bacterial vaginosis (BV). Currently, there are limited studies that have investigated the use of other sample types other than vaginal swabs for the detection of BV from South African populations. This study investigated whether urine can be used for the detection of BV-associated microorganisms in South African pregnant women.Methods: One-hundred self-collected vaginal swabs and urine samples were obtained from women presenting for antenatal care at King Edward VIII Hospital in Durban. The BD MAX™ vaginal panel assay was used for diagnosing BV and droplet digital polymerase chain reaction was used to quantify Gardnerella vaginalis, Prevotella bivia, Atopobium vaginae and Lactobacillus crispatus. The absolute counts were determined on the QX200 Droplet Reader (Bio-Rad) using the QuantaSoft Software. Data analysis was performed with statistical computing software called R, version 3.6.1.Results: Median copy numbers obtained for G. vaginalis and P. bivia across urine and swabs in BV-positive samples were not significantly different (p = 0.134 and p = 0.652, respectively). This was confirmed by the correlation analysis that showed a good correlation between the two sample types (G. vaginalis [r = 0.63] and P. bivia [r = 0.50]). However, the data obtained for A. vaginae differed, and a weak correlation between urine and swabs was observed (r = 0.21). Bacterial vaginosis-negative samples had no significant difference in median copy numbers for L. crispatus across the urine and swabs (p = 0.062), and a good correlation between the sample types was noted (r = 0.71). Conclusion:This study highlights the appropriateness of urine for the detection of microorganisms associated with BV.

There is a lack of data on the burden of Chlamydia trachomatis and Neisseria gonorrhoeae among human immunodeficiency virus- (HIV-) infected pregnant women in South Africa. We conducted a cross-sectional study which included 385 HIV-infected pregnant women attending antenatal clinic at the King Edward VIII Hospital in Durban, South Africa. The women provided vaginal swabs which were tested for C. trachomatis and N. gonorrhoeae. The prevalence of the individual STIs was as follows: C. trachomatis (47/385, 12.2%) and N. gonorrhoeae (16/385, 4.1%). Having a circumcised partner, testing positive for N. gonorrhoeae, and perceiving themselves of being at risk for infection were shown to increase the risk for C. trachomatis infection. Without controlling for the other factors, testing positive for N. gonorrhoeae increased the risk for C. trachomatis infection by 10-fold (OR: 10.17, 95% CI: 3.39-29.66, p < 0.001 ). Similarly, adjusting for the other factors, the risk for C. trachomatis infection in women who tested positive for N. gonorrhoeae was 9-fold (OR: 9.16, 95% CI: 2.19-40.18, p = 0.003 ). The following factors were associated with the increased risk of N. gonorrhoeae infection: not knowing their partner’s HIV status, partner having other partners, and C. trachomatis infection status. Without controlling for the other factors, testing positive for C. trachomatis increased the risk for N. gonorrhoeae infection by 6-fold (OR: 6.52, 95% CI: 2.22-18.49, p < 0.001 ). Similarly, adjusting for the other factors, the risk for N. gonorrhoeae infection in women who tested positive for C. trachomatis was 6-fold (OR: 6.09, 95% CI: 1.73-22.03, p = 0.005 ). We found a significant association between C. trachomatis and N. gonorrhoeae in the pregnant women and the risk factors associated with these pathogens. Future studies are urgently required to investigate the impact of C. trachomatis/N. gonorrhoeae coinfections in HIV pregnant women since this data is lacking in our setting. In addition, etiological screening of C. trachomatis and N. gonorrhoeae during antenatal clinic is urgently required to prevent adverse pregnancy and birth outcomes associated with these infections.

Purpose: To investigate the variation in CD4 count between HIV positive patients due to clinical covariates at each phase of the HIV disease progression. Patients and methods: The Centre for the AIDS Programme of Research in South Africa (CAPRISA) conducted different studies in which female patients were initially enrolled in HIV negative cohorts (phase 1). Seroconverts were further followed-up weekly to fortnightly visits up to 3 months (phase 2: acute infection), monthly visits from 3 to 12 months (phase 3: early infection), quarterly visits thereafter (phase 4: established infection) until antiretroviral therapy (ART) initiation (phase 5). Results: Eighteen out of the 46 CD4 count covariates investigated were significant. Low average CD4 counts at acute and early phase entry improved at a faster rate than entries at higher average CD4 count. During therapy, all the 18 covariates induced significantly different patients’ average CD4 counts. The rate of change of CD4 count greatly varied in response to lactate dehydrogenase during the acute phase. Red blood cells increase resulted in the patients’ CD4 counts approaching a common higher level during the early phase. During therapy, the already high CD4 counts improved faster than lower ones in response to the red blood cells increase. As the monocytes increased, patients with lower average CD4 counts became worse than those with higher average CD4 counts. Conclusion: Changes in the covariates measurements either induced no variation effects in certain phases or improved the CD4 count at a faster rate for those patients whose average CD4 was already high or worsen the CD4 level which was already low or caused the patients’ CD4 counts to approach the same level – higher or lower than the general cohort. The studied covariates induced wide variations in the CD4 count between HIV positive patients during the ART phase.

Background. Bacterial vaginosis (BV) is associated with high-risk HPV (hrHPV) genotypes. There is a proposed bidirectional relationship between hrHPV and vaginal microbial diversity. This study investigated the association between BV associated bacteria in women co-infected with Human immunodeficiency virus (HIV) and hrHPV. Methods. Stored cervical cytobrush samples were used for real time PCR detection of eight BV associated bacteria. Analysis of BV bacteria detected against HPV infection, socio-demographics and HIV data were conducted in R Statistical computing software of the R Core Team, 2020, version 3.6.3. Results. A total of 190 samples were analysed. A. vaginae (p <0.001) BVAB 1 (p <0.001), BVAB 2 (p =0.428), BVAB 3 (p <0.001), Lactobacillus species (p =0.016) and S. sanguinegens (p =0.007) were associated with prevalent hrHPV. Increasing CIN severity was independently associated with detection of BVAB 1 OR 1.51(95% CI: 0.42-5.55), BVAB 3 OR 2.72(95% CI:0.90-8.55) and S. sanguinegens OR 1.02(95% CI:0.37-2.80). All HPV genotypes/groups, gravida <2, A. vaginae (p =0.002) and BVAB 1 (p =0.026) were significantly associated with HPV persistence. BVAB 3, p =0.010 and HPV 16 were significantly associated with HPV reinfection. Conclusion. There is a significant association of A. vaginae, BVAB 1, BVAB 3, S. sanguinegens and Lactobacillus spp to prevalent hrHPV. BVAB 1, BVAB 3 and S. sanguinegens had an increased odds for increasing CIN severity. A vaginae, BVAB 1, gravida and all the HPV genotypes/groups were significantly associated with HPV persistence. Only BVAB 3 and HPV 16 were significantly associated with hrHPV reinfection at 1 year review. BVAB 1 and BVAB 3 are possible biomarkers for HPV infection and CIN progression.