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Nevin Manimala Statistics

Bioabsorbable Glycolide Copolymer is Effective in Reducing Staple Line Bleeding in Sleeve Gastrectomy

Obes Surg. 2022 Jun 13. doi: 10.1007/s11695-022-06152-3. Online ahead of print.

ABSTRACT

BACKGROUND: Postoperative bleeding from the staple line after sleeve gastrectomy occurs in 2-8% of patients and it is associated with increased length and cost of hospitalization and may demand reoperation to gain hemostasis. Reinforced staplers are used by bariatric surgeons to reduce the incidence of postoperative leak but can have a role in avoiding bleeding. The aim of this study is to analyze the effects of reinforcement on the whole gastric staple line during sleeve gastrectomy on postoperative bleeding.

METHODS: Four hundred forty-eight consecutive patients undergoing sleeve gastrectomy from November 2012 to April 2019 were divided into two groups. In the Top-only group only the top staple shot was realized with reinforced material (GORE® SEAMGUARD®) while in the Bottom-to-Top group, patients received full staple line reinforcement. Statistical analysis focused on postoperative leak and bleeding, and length of stay; a propensity score matching analysis was performed to reduce between-group characteristics imbalance.

RESULTS: One hundred forty-five (Top-only) and 303 (Bottom-to-Top) patients were included. Four (2.8%) patients in the Top-only group and none in the Bottom-to-Top group experienced severe bleeding (p = 0.004); the difference was still significant after propensity score matching. Length of stay was significantly shorter for the Bottom-to-Top group before and after propensity score matching (4 vs. 5 days, p < 0.001).

CONCLUSIONS: Staple line buttressing reduces the incidence of severe postoperative bleeding when performed on the whole staple line, and it is associated with a shorter hospitalization.

PMID:35696051 | DOI:10.1007/s11695-022-06152-3

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Nevin Manimala Statistics

Polymorphism of neurodegeneration-related genes associated with Parkinson’s disease risk

Neurol Sci. 2022 Jun 13. doi: 10.1007/s10072-022-06192-8. Online ahead of print.

ABSTRACT

BACKGROUND: Neurodegenerative genes are critical in neuronal loss in Parkinson’s disease (PD). We performed a systematic meta-analysis including all the studies published on PD risk related to genes encoding enzymes vital for dopamine metabolism and neuron survival.

METHODS: We included neurodegeneration-related genes which were divided into four groups according to their functions: main enzymes in dopamine metabolism, receptors and transporters for dopamine or other metabolites, neuroprotective factors for dopaminergic neurons, and genes associated with dopaminergic neurons survival reported in other neurological diseases. We collected original articles from PubMed, Embase, and Web of Science databases. Revman 5.3 software was used to analyze data. The allele model (AM) was used to test the effect size of the effect allele between the case group and the control group and secondary analysis using the dominant model (DM) and recessive model (RM) to analyze the contributions from heterozygote and homozygote to the allele risk. Odds ratio (OR) and 95% confidence interval (CI) were used to present the pooled results.

RESULTS: We included 31 variants in 20 genes for the final pooled analysis. Consequently, SLC6A4/5-HTT HTTLPR, BDNF rs56164415, FGF20 rs1721100, PARK16 rs823128, rs823156, rs947211, APOE e2, A2M rs669, RIT2 rs12456492, MAPT intron 9 H1H2, and STH rs62063857 variants were statistically associated with PD risk while researched variants in COMT, DBH, MAO, DAT/SLC6A3, DRD2, GRIN2B, GSK3β, ATP13A2, LINGO1, PICALM, and GRN were not related to PD risk.

CONCLUSION: Several variants from neurodegeneration-related genes are associated with PD risk, which may help deepen the understanding of PD pathogenesis and improve clinical treatment strategies.

PMID:35695987 | DOI:10.1007/s10072-022-06192-8

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Nevin Manimala Statistics

Significant association between HIV infection and increased risk of COVID-19 mortality: a meta-analysis based on adjusted effect estimates

Clin Exp Med. 2022 Jun 13. doi: 10.1007/s10238-022-00840-1. Online ahead of print.

ABSTRACT

To investigate the relationship between human immunodeficiency virus (HIV) infection and the risk of mortality among coronavirus disease 2019 (COVID-19) patients based on adjusted effect estimate by a quantitative meta-analysis. A random-effects model was used to estimate the pooled effect size (ES) with corresponding 95% confidence interval (CI). I2 statistic, sensitivity analysis, Begg’s test, meta-regression and subgroup analyses were also conducted. This meta-analysis presented that HIV infection was associated with a significantly higher risk of COVID-19 mortality based on 40 studies reporting risk factors-adjusted effects with 131,907,981 cases (pooled ES 1.43, 95% CI 1.25-1.63). Subgroup analyses by male proportion and setting yielded consistent results on the significant association between HIV infection and the increased risk of COVID-19 mortality. Allowing for the existence of heterogeneity, further meta-regression and subgroup analyses were conducted to seek the possible source of heterogeneity. None of factors might be possible reasons for heterogeneity in the further analyses. Sensitivity analysis indicated the robustness of this meta-analysis. The Begg’s test manifested that there was no publication bias (P = 0.2734). Our findings demonstrated that HIV infection was independently associated with a significantly increased risk of mortality in COVID-19 patients. Further well-designed studies based on prospective study estimates are warranted to confirm our findings.

PMID:35695974 | DOI:10.1007/s10238-022-00840-1

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Nevin Manimala Statistics

Combination Topical Epinephrine and Non-steroidal Inflammatory Drugs in the Prevention of Post-ERCP Pancreatitis: A Systematic Review

Dig Dis Sci. 2022 Jun 13. doi: 10.1007/s10620-022-07518-4. Online ahead of print.

ABSTRACT

BACKGROUND: The utility of combination rectal NSAID and topical epinephrine (EI) or rectal NSAID and normal saline (SI) sprayed on duodenal papilla in the prevention of post-ERCP pancreatitis (PEP) has been studied but results have been conflicting.

AIMS: To evaluate the benefit of using combination prophylaxis in preventing PEP.

METHODS: A literature search was performed using Scopus, PubMed/MEDLINE, and Cochrane databases in May 2021. Randomized controlled trials (RCTs) involving adults patients who underwent ERCP and received EI versus SI were eligible for inclusion. The pooled effect was expressed as odds ratio (OR) to assess the rate of PEP, severity of PEP, and specific adverse events. The results were pooled using Reviewer Manager 5.4 software.

RESULTS: Six RCTs involving 4016 patients were included in the final analysis. The EI group did not demonstrate any significant benefit over SI group in preventing PEP (OR = 1.00, 95% CI [0.68, 1.45], P = 0.98), irrespective of gender or the epinephrine concentration used. The tests for subgroup differences were not statistically significant with P-values of 0.66 and 0.28, respectively. The addition of topical epinephrine to rectal NSAID did not improve the rate of moderate to severe PEP (OR = 0.94, P = 0.86) or PEP in high-risk patients (OR = 1.14, 95%, P = 0.73). The rates of infection, including cholangitis and sepsis (OR = 0.63, P = 0.07), gastrointestinal bleeding (OR = 1.25, P = 0.56) and procedure-related death (OR = 0.71, P = 0.59) were similar between both groups.

CONCLUSION: The addition of topical epinephrine did not demonstrate any benefit over rectal NSAID alone in preventing PEP or reducing other procedure-related adverse events.

PMID:35695971 | DOI:10.1007/s10620-022-07518-4

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Nevin Manimala Statistics

Machine learning-based assessment of long-term climate variability of Kerala

Environ Monit Assess. 2022 Jun 13;194(7):498. doi: 10.1007/s10661-022-10011-0.

ABSTRACT

Studies on historical patterns of climate variables and climate indices have attained significant importance because of the increasing frequency and severity of extreme events worldwide. While the recent events in the tropical state of Kerala (India) have drawn attention to the catastrophic impacts of extreme rainfall events leading to landslides and loss of human lives, a comprehensive and long-term spatiotemporal assessment of climate variables is still lacking. This study investigates the long-term trend analysis (119 years) of climate variables at 5% significance level over the state using gridded datasets of daily rainfall (0.25° × 0.25° spatial resolution) and temperature (1° × 1° spatial resolution) at annual and seasonal scales (south-west monsoon, north-east monsoon, winter and summer). Five trend analysis techniques including the Mann-Kendall test (MK), three modified Mann-Kendall tests and innovative trend analysis (ITA) test were performed in the study. It is evident from the trend analysis results that more than 83% of grid points were showing negative trends in annual and south-west monsoon season rainfall series (at a mean rate of 39.70 mm and 28.30 mm per decade respectively). All the trend analysis tests identified statistically significant increasing trends in mean and maximum temperature at annual and seasonal scales (0.10 to 0.20 °C/decade) for all grids. The K-means clustering algorithm delineated 59 grid points into five clusters for annual rainfall, illustrating a clear geographical pattern over the study area. There is a clear gradient in rainfall distribution and concentration inside the state at annual as well as seasonal scales. The majority of annual rainfall is concentrated in a few months of the year. That may lead the state vulnerable to water scarcity in non-rainy seasons.

PMID:35695969 | DOI:10.1007/s10661-022-10011-0

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Nevin Manimala Statistics

Using generalized additive models to decompose time series and waveforms, and dissect heart-lung interaction physiology

J Clin Monit Comput. 2022 Jun 13. doi: 10.1007/s10877-022-00873-7. Online ahead of print.

ABSTRACT

Common physiological time series and waveforms are composed of repeating cardiac and respiratory cycles. Often, the cardiac effect is the primary interest, but for, e.g., fluid responsiveness prediction, the respiratory effect on arterial blood pressure also convey important information. In either case, it is relevant to disentangle the two effects. Generalized additive models (GAMs) allow estimating the effect of predictors as nonlinear, smooth functions. These smooth functions can represent the cardiac and respiratory cycles’ effects on a physiological signal. We demonstrate how GAMs allow a decomposition of physiological signals from mechanically ventilated subjects into separate effects of the cardiac and respiratory cycles. Two examples are presented. The first is a model of the respiratory variation in pulse pressure. The second demonstrates how a central venous pressure waveform can be decomposed into a cardiac effect, a respiratory effect and the interaction between the two cycles. Generalized additive models provide an intuitive and flexible approach to modelling the repeating, smooth, patterns common in medical monitoring data.

PMID:35695942 | DOI:10.1007/s10877-022-00873-7

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Nevin Manimala Statistics

Assessment of absorbable gelatin sponge for maxillary sinus floor elevation versus anorganic bovine bone minerals: a randomized clinical trial

Oral Maxillofac Surg. 2022 Jun 13. doi: 10.1007/s10006-022-01086-7. Online ahead of print.

ABSTRACT

PURPOSE: The present study compared the absorbable gelatin sponge as a space-filling material versus anorganic bone bovine mineral (ABBM) in maxillary sinus augmentation with simultaneous endosseous dental implant placement.

METHODS: Eighteen maxillary sinus floor elevation cases were randomly allocated into two groups. The first group received ABBM, while the second group received an absorbable gelatin sponge as a space-filling material. For both groups, CBCT scans were obtained immediately postoperatively and six months later to calculate the difference in sinus floor bone gain. Osstell readings were recorded both at the time of implant placement and implant exposure with a total of twenty-three dental implant placements in relation to the eighteen elevated sinus floors.

RESULTS: The mean radiographic sinus floor gain in the ABBM group was 10.2 mm (± 2.5), while in the absorbable gelatin sponge group was 5.4 mm (± 2.0), with a mean difference of 4.8, which was statistically significant (p < 0.001). The mean implant stability for the ABBM was 77.3 (± 4.9), while in the absorbable gelatin sponge group was 74.2 (± 3.0), with a mean difference of 3.1, which was statistically insignificant (p = 0.1610).

CONCLUSION: The ABBM showed superior results regarding the amount of radiographic sinus floor bone gain. However, the implant stability was invariable between both groups.

PMID:35695945 | DOI:10.1007/s10006-022-01086-7

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Nevin Manimala Statistics

Interplay of thermal diffuse scattering and correlated compositional disorder in KCl1-xBrx

Acta Crystallogr B Struct Sci Cryst Eng Mater. 2022 Jun 1;78(Pt 3 Pt 1):385-391. doi: 10.1107/S2052520622003560. Epub 2022 May 11.

ABSTRACT

Single-crystal X-ray diffuse scattering measurements are reported of the compositional series KCl1-xBrx, a model system for the broader family of disordered rocksalts. Using a combination of Monte Carlo simulations and lattice dynamical calculations, we show that the observed diffuse scattering is well described in terms of (i) non-statistical anion distributions, (ii) local lattice relaxations accompanying Cl/Br substitution, and (iii) the contribution from low-energy phonons. It is found that a tendency for compositional domain formation broadens the thermal diffuse scattering by splitting and softening the acoustic phonon branches. This effect, which is strongest for intermediate compositions, is seen in both experiment and calculation alike. These results establish a link between local compositional order and unconventional lattice dynamics in this system, and reinforce emerging design principles of exploiting compositional fluctuations to tailor physical properties, such as thermal conductivity, that depend on phonon broadening.

PMID:35695112 | DOI:10.1107/S2052520622003560

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Nevin Manimala Statistics

Treatment for postoperative recurrence of pancreatic cancer: a narrative review

Chin Clin Oncol. 2022 Jun 2:cco-21-87. doi: 10.21037/cco-21-87. Online ahead of print.

ABSTRACT

BACKGROUND AND OBJECTIVE: Patients with pancreatic cancer frequently develop postoperative disease recurrence, even after surgical resection with curative intent. Because of the heterogeneity of this patient population, phase III trials have never been conducted to establish a standard therapy for patients with post-surgical recurrence, and no uniform consensus based on high-level evidence exists as to which intervention might be the most appropriate. The aim of this review is to introduce globally popular treatment strategies for pancreatic cancer patients with postoperative recurrences.

METHODS: This is a narrative review, summarising the contemporary evidence and emerging studies with treatment for postoperative recurrence of pancreatic cancer.

KEY AND CONTENT AND FINDINGS: For patients with local recurrence alone, various therapeutic strategies have been attempted, including repeat surgical resection, chemoradiotherapy, and chemotherapy alone. Several studies have examined the outcomes of these therapies, but most are retrospective analyses of a small number of patients and statistically too underpowered to allow any solid recommendations to be made. Therefore, with the exception that there appears to be a potential benefit of repeat resection for isolated recurrences in the pancreatic remnant in a selected subgroup of patients, the patient outcomes remain dismal. In regard to the management of patients with distant recurrences, postoperative distant recurrences are generally not considered as being distinct from primary metastatic disease, and most patients with distant recurrence(s) with/without local tumor recurrence receive systemic chemotherapy as the standard therapy for metastatic disease; some studies have demonstrated a trend toward better survival outcomes in patients with a history of surgical resection than in those without a history of surgical resection.

CONCLUSIONS: Although no uniform consensus based on high-level evidence exists, systemic chemotherapy has been used as the main treatment option, and some regimens have been demonstrated to offer a survival benefit. There is an urgent need for prospective trials to establish the most appropriate treatment strategies for this patients’ population.

PMID:35695055 | DOI:10.21037/cco-21-87

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Nevin Manimala Statistics

Evaluating data quality in the Australian and New Zealand dialysis and transplant registry using administrative hospital admission datasets and data-linkage

Health Inf Manag. 2022 Jun 11:18333583221097724. doi: 10.1177/18333583221097724. Online ahead of print.

ABSTRACT

Background: Clinical quality registries provide rich and useful data for clinical quality monitoring and research purposes but are susceptible to data quality issues that can impact their usage. Objective: This study assessed the concordance between comorbidities recorded in the Australia and New Zealand Dialysis and Transplant (ANZDATA) Registry and those in state-based hospital admission datasets. Method: All patients in New South Wales, South Australia, Tasmania, Victoria and Western Australia recorded in ANZDATA as requiring chronic kidney replacement therapy (KRT) between 01/07/2000 and 31/12/2015 were linked with state-based hospital admission datasets. Coronary artery disease, diabetes mellitus, cerebrovascular disease, chronic lung disease and peripheral vascular disease recorded in ANZDATA at each annual census date were compared overall, over time and between different KRT modalities to comorbidities recorded in hospital admission datasets, as defined by the International Classification of Diseases (ICD-10-AM), using both the kappa statistic and logistic regression analysis. Results: 29, 334 patients with 207,369 hospital admissions were identified. Comparison was made at census date for every patient comparison. Overall agreement was “very good” for diabetes mellitus (92%, k = 0.84) and “poor” to “fair” (21-61%, k = 0.02-0.22) for others. Diabetes mellitus recording had the highest accuracy (sensitivity 93% (±SE 0.2) and specificity 93% (±SE 0.2)), and cerebrovascular disease had the lowest (sensitivity 54% (±SE 0.2) and specificity 21% (±SE 0.3)). The false positive rates for cerebrovascular disease, peripheral vascular disease and chronic airway disease ranged between 18 and 33%. The probability of a false positive was lowest for kidney transplant patients for all comorbidities and highest for patients on haemodialysis. Conclusions and Implications: Agreement between the clinical quality registry and hospital admission datasets was variable, with the prevalence of comorbidities being higher in ANZDATA.

PMID:35695032 | DOI:10.1177/18333583221097724