Clinical Profile and Outcomes of COVID-19 in Renal Transplant Recipients

There is minimal information on coronavirus disease 2019 (COVID-19) in developing countries regarding renal transplant recipients (RTRs). This paper aimed to study the clinical profile, immunosuppressive regimen, treatment, and outcomes in an RTR with COVID-19. This retrospective study was conducted in the nephrology department of Sri Aurobindo Medical College & Postgraduate Institute, Indore (MP), India, from April 1, 2020 to December 15, 2020. We studied 15 patients, of which 13 were treated at our hospital and two were treated in OPD. The median age of transplant recipients was 45 (Interquartile range [IQR]: 26–62) years, the majority being males, and recipients presented at a median of 4 (IQR: 0.3–11) years after transplant. The most common comorbidities included hypertension in 14 (94%) and diabetes 3 (20%) patients. The presenting symptoms at presentation were cough (80%), headache (52%), fever (46%), and breathlessness (26%). Clinical severity as per computerized tomography (CT) severity score ranged from mild (20%), moderate (53%), and severe (27%). Strategies to modify immunosuppressants included discontinuation of antimetabolites without changes in calcineurin inhibitors and steroids (100%). Antiviral therapy (Favipiravir and Remdesivir) was associated with better outcomes and reduced hospital stay. Risk factors for mortality included ABO-incompatibility, severity of disease, high Coronavirus Disease 2019 (COVID-19) Reporting and Data System (CO-RADS) score, allograft dysfunction before COVID-19 infection, acute kidney injury, elevated inflammatory markers, and intensive care unit/ventilator requirement. Overall patient mortality was 13.2%. Risk factor for mortality in COVID-19 positive with RTR appears to be ABO-incompatible transplant, having a previous history of rejection, and patient requiring ventilatory support

Pulmonary Hypertension in Patients of Chronic Kidney Disease on Maintenance Hemodialysis: Study from a Tertiary Care Center in Central India

To study the incidence of pulmonary hypertension (PH) in chronic kidney disease (CKD) stage V patients on maintenance hemodialysis (HD) at our center. To compare clinical and metabolic variables among CKD patients with and without PH to search for possible etiologic factors. Comparison of PH in CKD patients at baseline and after 3 months of sildenafil therapy. The study was conducted in the Department of Nephrology, Sri Aurob-indo Institute of Medical Sciences, Indore, for a period of 1 year from December 2021 to November 2022. All CKD patients on maintenance HD at our center were included in the study. A pre-structured proforma was used to record patient data. Detailed clinical examination, 2DECHO, and Biochemical tests were done. All patients with mean pulmonary artery pressure (mPAP) > 25 mmHg on 2D echocardiography were considered to have PH and were started on sildenafil therapy 20 mg three times a day for 3 months. PH was classified as mild PH (mPAP > 25 up to 40 mmHg), moderate PH (mPAP > 40 mmHg to 60 mmHg), and severe PH (mPAP > 60 mmHg). Patients were then followed for 3 months to look for episodes of dyspnea and emergency admissions and reassessed after 3 months by repeat 2D echocardiography to find improvement in PH. A total of 102 patients were analyzed during the study period; among them, 40 patients (39.2%) had PH. Out of them, 18 patients (45%) had mild PH, 14 patients (35%) had moderate PH, and 8 patients (20%) patients had severe PH. Average age of our patients was 48.8 ± 9.4 years, the majority being men. On comparing the clinical features between patients with and without PH, none of the clinical parameters had any statistically significant impact on PH. Also, none of the laboratory parameters had statistical significance among PH and non-PH groups. Among the patients with PH, 25 patients (62.5%) had Arteriovenous (AV) fistula, 10 patients (25%) had temporary dialysis catheters. Eight patients (20%) had jugular catheters, two patients (5%) had femoral catheters, and 5 (12.5%) patients had tunneled jugular catheters. Initially, 102 patients were enrolled in the study. Of these, 40 (39.2%) had PH and 62 (60.7%) did not. Patients who had PH started sildenafil 20 mg three times a day. Of these 40 patients, at 3 months, eight patients were lost to follow-up, and 32 patients with PH remained in the study. Emergency admissions in each group of PH declined after 3 months, and the result was statistically significant. Echocardiographic findings were compared in patients with PH and without PH, but the difference in patients on HD with PH and without PH was not statistically significant. PH is a significant problem in CKD patients on HD. This issue needs to be evaluated in a timely manner to avoid the risk of morbidity and mortality. It is vital to treat them at the earliest to prevent life-threatening complications

Mycobacterium tuberculosis Transcriptional Adaptation, Growth Arrest and Dormancy Phenotype Development Is Triggered by Vitamin C

BACKGROUND: Tubercle bacilli are thought to persist in a dormant state during latent tuberculosis (TB) infection. Although little is known about the host factors that induce and maintain Mycobacterium tuberculosis (M. tb) within latent lesions, O(2) depletion, nutrient limitation and acidification are some of the stresses implicated in bacterial dormancy development/growth arrest. Adaptation to hypoxia and exposure to NO/CO is implemented through the DevRS/DosT two-component system which induces the dormancy regulon. METHODOLOGY/PRINCIPAL FINDINGS: Here we show that vitamin C (ascorbic acid/AA) can serve as an additional signal to induce the DevR regulon. Physiological levels of AA scavenge O(2) and rapidly induce the DevR regulon at an estimated O(2) saturation of <30%. The kinetics and magnitude of the response suggests an initial involvement of DosT and a sustained DevS-mediated response during bacterial adaptation to increasing hypoxia. In addition to inducing DevR regulon mechanisms, vitamin C induces the expression of selected genes previously shown to be responsive to low pH and oxidative stress, triggers bacterial growth arrest and promotes dormancy phenotype development in M. tb grown in axenic culture and intracellularly in THP-1 cells. CONCLUSIONS/SIGNIFICANCE: Vitamin C mimics multiple intracellular stresses and has wide-ranging regulatory effects on gene expression and physiology of M. tb which leads to growth arrest and a 'dormant' drug-tolerant phenotype, but in a manner independent of the DevRS/DosT system. The 'AA-dormancy infection model' offers a potential alternative to other models of non-replicating persistence of M. tb and may be useful for investigating host-'dormant' M. tb interactions. Our findings offer a new perspective on the role of nutritional factors in TB and suggest a possible role for vitamin C in TB

Community Detection in Twitter

Twitter has evolved into a source of social, political and real time information in addition to being a means of mass-communication and marketing. Monitoring and analyzing information on Twitter can lead to invaluable insights, which might otherwise be hard to get using conventional media resources. An important task in analyzing highly networked information sources like twitter is to identify communities that are formed. A community on twitter can be defined as a set of users that are more similar to other members than to non-members. We present a technique to devise a similarity metric between any two users on twitter based on the similarity of their content, links and metadata. The link structure on Twitter can be characterized using the twitter notion of followers, being followed and the @Mentions, @Reply and @RT tags in tweets. Content similarity is characterized by the words in the tweets combined with the hash-tags they are annotated with. Meta-data similarity includes similarity based on other sources of user information such as location, age and gender. We then use this similarity metric to cluster users into communities using spectral and bottom-up agglomerative hierarchical clustering. We evaluate the performance of clustering using different similarity measures on different types of datasets. We also present a heuristic to find communities in twitter that take advantage of the network characteristics of twitter

Community Detection in Twitter

Twitter has evolved into a source of social, political and real time information in addition to being a means of mass-communication and marketing. Monitoring and analyzing information on Twitter can lead to invaluable insights, which might otherwise be hard to get using conventional media resources. An important task in analyzing highly networked information sources like twitter is to identify communities that are formed. A community on twitter can be defined as a set of users that are more similar to other members than to non-members. We present a technique to devise a similarity metric between any two users on twitter based on the similarity of their content, links and metadata. The link structure on Twitter can be characterized using the twitter notion of followers, being followed and the @Mentions, @Reply and @RT tags in tweets. Content similarity is characterized by the words in the tweets combined with the hash-tags they are annotated with. Meta-data similarity includes similarity based on other sources of user information such as location, age and gender. We then use this similarity metric to cluster users into communities using spectral and bottom-up agglomerative hierarchical clustering. We evaluate the performance of clustering using different similarity measures on different types of datasets. We also present a heuristic to find communities in twitter that take advantage of the network characteristics of twitter