BackgroundA number of published literature has reported that, physiologically, heart rate variability (HRV) in patients with postural orthostatic tachycardia syndrome (POTS) to be greatly confounded by age, sex, race, physical fitness, and circadian rhythm. The purpose of this study was to compare between POTS patients versus healthy participants, in terms of heart rate (HR) and HRV after Head-Up tilt test (HUTT), by systematic review and meta-analysis of available published literature.MethodsMEDLINE (using PubMed interphase), EMBASE and SCOPUS were systematically searched for observational studies comparing POTS patients versus healthy patients, in terms of HR and HRV. HRV was grouped into Time and frequency domain outcome measurements. The time domain was measured as mean RR- interval and mean the square root of the mean of squares of successive R-R waves (rMSSD) in milliseconds. The frequency domain was measured as mean values of Low frequency power (LF), High frequency power (HF), LF/HF-ratio, LF-normalized units (LF(n.u)) and HF-normalized units (HF(n.u)). Demographic data, comorbidities, and mean values of HR, RR- interval, rMSSD, LF, HF, LF/HF-ratio, LF-(n.u) and H.F-n.u were extracted from each group and compared, by their mean differences as an overall outcome measure. Computer software, RevMan 5.3 was utilized, at a 95% significance level.ResultsTwenty (20) eligible studies were found to report 717 POTS and 641 healthy participants. POTS group had a higher mean HR (p < 0.05), lower mean RR-Interval (p < 0.05), lower rMSSD (p < 0.05) than healthy participants. Furthermore, POTS group had lower mean HF(p > 0.05), lower mean LF(p > 0.05), and lower mean HF(n.u) (p > 0.05), higher LF/HF-Ratio (p > 0.05) and higher LF(n.u) (p > 0.05) as compared to healthy participants.ConclusionPOTS patients have a higher HR than healthy patients after HUTT and lower HRV in terms of time domain measure but not in terms of frequency domain measure. HR and time domain analyses of HRV are more reliable than frequency domain analysis in differentiating POTS patients from the healthy participants. We call upon sensitivity and specificity studies.

End‐stage renal disease (ESRD) patients are amongst the vulnerable groups and thus prioritized in the Coronavirus disease‐2019 vaccination programmes. However, this cohort was excluded from vaccine‐trials and yet shares the same vaccination scheme with the general population. Here, we explore trends of immune response‐proportions amongst ESRD patients on renal replacement therapy for up to 4 weeks post‐vaccination completion with Pfizer/Moderna vaccines. From inception to 10 July 2021, we searched six online‐databases for articles reporting humoral and cellular immune response proportions for up to 4 weeks post booster‐vaccination. We pooled the responders' proportions by meta‐analysis and conducted a meta‐regression stratifying outcomes by significant confounders. Twenty‐seven eligible studies reported 2789 ESRD patients. 1337, 1452 and 477 were on haemodialysis, received kidney transplantation, and healthy controls, respectively. Haemodialysis patients' proportions of humoral and cellular immune responses varied from 87.29% (80.77–93.81)–88.78% (86.76–90.80) and 62.86% (56.56, 69.17)–85.78% (78.99, 92.57), respectively, between first‐ and fourth‐weeks. Kidney transplant patients' proportions of humoral and cellular immune responses ranged from 2.6% (0.06–13.48)–29.87% (27.68, 32.07) and 5.13% (0.63–17.3)–59.84% (54.57–65.10), respectively, between first‐ and fourth‐weeks. All healthy controls maintained ≥93% proportions of both responses throughout the follow‐up. Study design and country of study influenced the pooled response proportions. Conclusively, haemodialysis and kidney transplant patients have lower proportions of humoral and cellular immune responses than healthy controls. However, haemodialysis patients' response proportions improve, reaching near healthy‐control levels by the fourth week. Kidney transplant patients' lower responses' proportions also improve but remain significantly lower than healthy controls throughout four‐weeks. The “ one‐size‐fits‐all ” vaccination scheme might be inadequate for kidney transplant patients.

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Background: Cyanoacrylate alone or in combination with other interventions, can be used to achieve variable rates of success in preventing rebleeding. Our study aims to assess the pooled risk of gastric and esophageal varices rebleeding after an initial treatment with cyanoacrylate alone and/or in combination with other treatments, by a systematic review of the literature and pooled analysis. Methods: PubMed, EMBASE, SCOPUS, and the Cochrane library were searched for studies that reported the risk of rebleeding during the follow-up period after treatment of gastric or esophageal varices with either cyanoacrylate alone or in combination with other treatments. Standard error, upper and lower confidence intervals at 95% confidence interval for the risk were obtained using STATA Version 15 which was also used to generate forest plots for pooled analysis. The random or fixed effect model was applied depending on the heterogeneity (I 2). Results: A total of 39 studies were found to report treatment of either gastric or esophageal varices with either cyanoacrylate alone or in combination with other treatments. When gastric varices are treated with cyanoacrylate alone, the risk of rebleeding during the follow-up period is 0.15(Confidence Interval: 0.11-0.18). When combined with lipiodol; polidocanol or sclerotherapy the rebleeding risks are 0.13 (

Background: A number of published literature has reported that, physiologically, heart rate variability (HRV) in patients with postural orthostatic tachycardia syndrome (POTS) to be greatly confounded by age, sex, race, physical fitness, and circadian rhythm. The purpose of this study was to compare between POTS patients versus healthy participants, in terms of heart rate (HR) and HRV after Head-Up tilt test (HUTT), by systematic review and meta-analysis of available published literature. Methods: MEDLINE (using PubMed interphase), EMBASE and SCOPUS were systematically searched for observational studies comparing POTS patients versus healthy patients, in terms of HR and HRV. HRV was grouped into Time and frequency domain outcome measurements. The time domain was measured as mean RR- interval and mean the square root of the mean of squares of successive R-R waves (rMSSD) in milliseconds. The frequency domain was measured as mean values of Low frequency power (LF), High frequency power (HF), LF/HF-ratio, LF-normalized units (LF(n.u)) and HF-normalized units (HF(n.u)). Demographic data, comorbidities, and mean values of HR, RR- interval, rMSSD, LF, HF, LF/HF-ratio, LF-(n.u) and H.F-n.u were extracted from each group and compared, by their mean differences as an overall outcome measure. Computer software, RevMan 5.3 was utilized, at a 95% significance level. Results: Twenty (20) eligible studies were found to report 717 POTS and 641 healthy participants. POTS group had a higher mean HR (p<0.05), lower mean RR-Interval (p<0.05), lower rMSSD (p<0.05) than healthy participants. Furthermore, POTS group had lower mean HF(p>0.05), lower mean LF(p>0.05), and lower mean HF(n.u) (p>0.05), higher LF/HF-Ratio (p>0.05) and higher LF(n.u) (p>0.05) as compared to healthy participants. Conclusion: POTS patients have a higher HR than healthy patients after HUTT and lower HRV in terms of time domain measure but not in terms of frequency domain measure. HR and time domain analyses of HRV are more reliable than frequency domain analysis in differentiating POTS patients from the healthy participants. We call upon sensitivity and specificity studies.

Background: Regarding lupus disease activity, morbidity and survival, limited literature concluded conflicting results when comparing hemodialysis versus peritoneal dialysis as initial renal replacement therapies (RRT) prior to transplantation, in lupus nephritis end-stage renal disease (LN-ESRD) patients. This study was aimed to compare the risks of lupus flares, all-cause infections, all-cause cardiovascular events, and mortality, between hemodialysis versus peritoneal dialysis as initial RRT-modality before renal-transplant in LN-ESRD patients, by systematic review and meta-analysis. Methods: PubMed, EMBASE, and SCOPUS were searched for observational-studies comparing LN-ESRD-patients undergoing hemodialysis (Group1) versus peritoneal-dialysis (Group 2) prior to renal-transplantation, by their risks of lupus flare, all-cause infections, all-cause cardiovascular events, and mortality as outcome measures. Relative-Risks of outcomes between the groups measured overall effects at a 95% significance level. RevMan 5.3 computer software was used for analysis. Results: From search, 16 eligible studies reported 15,636 LN-ESRD-patients prior to renal transplantation with 4616 patients on hemodialysis, 2089 on peritoneal dialysis, 280 directly underwent kidney transplantation, 8319 were eliminated with reasons and 332 participants' details were not reported. Hemodialysis group had higher risk of allcause cardiovascular events, Relative-Risk = 1.44 (Confidence Interval:1.02, 2.04), p-Value< 0.05. With regards to risks for mortality, flare and all-cause infections, there were trends that were not statistically significant (p-Value> 0.05). Conclusion: Except for all-cause cardiovascular events in which peritoneal dialysis is superior to hemodialysis offering better outcomes, both treatment modalities offer more or less similar clinical outcomes as effective initial choices of RRT in LN-ESRD patients prior to renal transplant.

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Background Cyanoacrylate alone or in combination with other interventions, can be used to achieve variable rates of successes in preventing rebleeding. Our study aims to assess the pooled risk of gastric and esophageal varices rebleeding after an initial treatment with cyanoacrylate alone and/or in combination with other treatments, by systematic review of literature and pooled analysis.Methodology PubMed, EMBASE, SCOPUS and the Cochrane library were searched for studies that reported the risk of rebleeding during the follow-up period after treatment of gastric or esophageal varices with either cyanoacrylate alone or in combination with other treatments. Standard error, upper and lower confidence intervals at 95% confidence interval for the risk, were obtained STATA Version 15 which was also used to generate forest plots for pooled analysis. Random or fixed effect model was used depending on the heterogeneity (I2).Results A total of 39 studies were found to report treatment of either gastric or esophageal varices with either cyanoacrylate alone or in combination with other treatments. When gastric varices are treated with cyanoacrylate alone, the risk of rebleeding during the follow-up period is 0.16(Confidence Interval: 0.13-0.18). When combined with lipiodol; polidocanol or sclerotherapy the rebleeding risks are 0.13 (CI:0.03-0.22), 0.10(CI:0.02-0.19) and 0.10(CI:0.05-0.18), respectively. When combined with percutaneous transhepatic variceal embolization; percutaneous transhepatic variceal embolization; endoscopic ultrasound guided coils; or with ethanolamine, the rebleeding risk are 0.10(CI:0.03-0.17), 0.10(CI:0.03-0.17), 0.07(CI:0.03-0.11) and 0.08(CI:0.02-0.14), respectively. When esophageal varices are treated with cyanoacrylate alone, the risk of rebleeding is 0.29(CI:0.11-0.47). When combined with percutaneous transhepatic variceal embolization; sclerotherapy; or band ligation, the risks of rebleeding are 0.16(CI:0.10-0.22), 0.12(CI:0.04-0.20) and 0.10(CI:0.04-0.24), respectively. When combined with transjugular intrahepatic portosystemic shunt; or ethanolamine, the risks of rebleeding are 0.06(CI:-0.01-0.12) and 0.02 (CI:-0.02-0.05), respectively.Conclusion In treating both gastric and esophageal varices, cyanoacrylate produces better results in terms of lower risk of rebleeding when combined with other treatments than when used alone. The combination of cyanoacrylate with ethanolamine or with endoscopic ultrasound guided coils produces lowest risk of rebleeding in esophageal and gastric varices, respectively. We call upon randomized trials to test these hypotheses.