Comparative study of efficacy and tolerability of flupirtine versus tramadol in non-steroidal anti-inflammatory drug intolerant mechanical low back pain

BackgroundMechanical low back pain (MLBP) is a commonly encountered entity in clinical practice. Pain relief and restoration of functional capacity are management goals.Aims and objectivesTo compare the efficacy and tolerability of flupirtine, a selective neuronal potassium channel-opener (SNEPCO), with tramadol, a widely-used opioid analgesic, in MLBP.MethodsThis randomized, single-blinded, intention to treat (ITT) trial started with 240 non-steroidal anti-inflammatory drug (NSAID) intolerant patients who were prescribed either tablet flupirtine (100 mg twice daily) or capsule tramadol (50 mg twice daily), for 4 weeks. Follow-up was done on days 14, 28 and 4 weeks after treatment completion. Assessment of improvements in Indian Health Assessment Questionnaire Disability Index (Indian HAQ-DI), Visual Analogue Scale (VAS), Numerical Rating Scale (NRS) and measurement of Pain Relief Rate (PRR) were performed. Adverse events were recorded.ResultsOne hundred and seven patients receiving flupirtine and 103 receiving tramadol were analyzed on an ITT basis. Scores in Indian HAQ-DI, VAS and NRS improved significantly in both groups in the last visit, but more so with flupirtine. PRR was reasonably higher with flupirtine, [59 (55.14%)] patients experiencing significant to complete pain relief at the end of the study, compared to tramadol [41 (39.81%)]. Adverse effects were less with flupirtine [26 (24.30%) versus 41 (39.81%), p < 0.05], minimizing drop-outs.ConclusionFlupirtine has better sustained efficacy and tolerability than tramadol in MLBP.     

Comparison of 1-Year Colectomy Risk Between the US and Korean Patients with Acute Severe Ulcerative Colitis: A Propensity Score Matching Analysis

Digestive Diseases and Sciences - Colectomy risk after acute severe ulcerative colitis (ASUC) has not been compared between Eastern and Western countries. We compared the 1-year colectomy risk...     

Impact of Race and Socioeconomic Status on Outcomes in Patients Hospitalized with COVID-19

BackgroundThe impact of race and socioeconomic status on clinical outcomes has not been quantified in patients hospitalized with coronavirus disease 2019 (COVID-19).ObjectiveTo evaluate the association between patient sociodemographics and neighborhood disadvantage with frequencies of death, invasive mechanical ventilation (IMV), and intensive care unit (ICU) admission in patients hospitalized with COVID-19.DesignRetrospective cohort study.SettingFour hospitals in an integrated health system serving southeast Michigan.ParticipantsAdult patients admitted to the hospital with a COVID-19 diagnosis confirmed by polymerase chain reaction.Main MeasuresPatient sociodemographics, comorbidities, and clinical outcomes were collected. Neighborhood socioeconomic variables were obtained at the census tract level from the 2018 American Community Survey. Relationships between neighborhood median income and clinical outcomes were evaluated using multivariate logistic regression models, controlling for patient age, sex, race, Charlson Comorbidity Index, obesity, smoking status, and living environment.Key ResultsBlack patients lived in significantly poorer neighborhoods than White patients (median income: $34,758 (24,531–56,095) vs. $63,317 (49,850–85,776), p < 0.001) and were more likely to have Medicaid insurance (19.4% vs. 11.2%, p < 0.001). Patients from neighborhoods with lower median income were significantly more likely to require IMV (lowest quartile: 25.4%, highest quartile: 16.0%, p < 0.001) and ICU admission (35.2%, 19.9%, p < 0.001). After adjusting for age, sex, race, and comorbidities, higher neighborhood income ($10,000 increase) remained a significant negative predictor for IMV (OR: 0.95 (95% CI 0.91, 0.99), p = 0.02) and ICU admission (OR: 0.92 (95% CI 0.89, 0.96), p < 0.001).ConclusionsNeighborhood disadvantage, which is closely associated with race, is a predictor of poor clinical outcomes in COVID-19. Measures of neighborhood disadvantage should be used to inform policies that aim to reduce COVID-19 disparities in the Black community.Supplementary InformationThe online version contains supplementary material available at 10.1007/s11606-020-06527-1.KEY WORDS: COVID-19, disparities, disadvantage, socioeconomic status, race     

Hepatitis E virus antigen detection as an early diagnostic marker: Report from India

Hepatitis E virus (HEV) is implicated in many outbreaks of viral hepatitis in the Indian subcontinent. The conventional diagnosis of such outbreaks rests on the detection of anti‐HEV IgM antibodies. However, IgM antibodies develop after 4–5 days of infection. An early‐diagnostic marker is imperative for timely diagnosis of the outbreak and also initiation of control measures. This study aimed to determine the use of hepatitis E virus antigen detection as an early diagnostic marker in an outbreak in comparison to anti‐HEV IgM and RT‐PCR analyses. Forty samples were collected during a suspected outbreak of viral hepatitis due to HEV. A total of 36 samples were positive for one or more HEV markers. The positivity for anti‐HEV IgM, HEV antigen, and RT‐PCR was 91.6%, 69.4%, and 47.2% respectively. RT‐PCR and HEV antigen detection gave the highest positive results (100%) in the first 3 days of illness. Positive HEV PCR declined to 54% by Days 4–7, whereas HEV antigen and IgM detection were 88% and 100%, respectively. Sequencing of representative HEV samples indicated that the strains responsible for this outbreak belonged to genotype I, subtype 1a. HEV antigen was found to be an early diagnostic marker of acute infection. HEV antigen was detected in three additional cases in the early phase (1–3 days), and they had no detectable anti‐HEV IgM antibodies. These three samples were also positive for HEV RNA. After Day 7, anti‐HEV IgM was the main diagnostic indicator of infection. J. Med. Virol. 85:823–827, 2013. © 2013 Wiley Periodicals, Inc.     

Entropy-based particle correspondence for shape populations

Purpose

Statistical shape analysis of anatomical structures plays an important role in many medical image analysis applications such as understanding the structural changes in anatomy in various stages of growth or disease. Establishing accurate correspondence across object populations is essential for such statistical shape analysis studies.

Methods

In this paper, we present an entropy-based correspondence framework for computing point-based correspondence among populations of surfaces in a groupwise manner. This robust framework is parameterization-free and computationally efficient. We review the core principles of this method as well as various extensions to deal effectively with surfaces of complex geometry and application-driven correspondence metrics.

Results

We apply our method to synthetic and biological datasets to illustrate the concepts proposed and compare the performance of our framework to existing techniques.

Conclusions

Through the numerous extensions and variations presented here, we create a very flexible framework that can effectively handle objects of various topologies, multi-object complexes, open surfaces, and objects of complex geometry such as high-curvature regions or extremely thin features.

     

Media optimization studies for Serratiopeptidase production from Serratia marcescens ATCC 13880

Production of an anti-inflammatory enzyme serratiopeptidase by fermentation with Serratia marcescens ATCC 13880 was studied to ascertain optimal nutritional conditions for large scale production. To study biosynthesis and production of serratiopeptidase by Serratia marcescens ATCC 13880, different physicochemical parameters were studied and optimized. The optimized medium contain, (g/l) glycerine 10.0, maltose 10.0 as carbon source, peptone 10.0 as organic nitrogen source, ammonium sulphate 10.0 as inorganic nitrogen source, dihydrogen phosphate 10.0, sodium bicarbonate 10.0, sodium acetate 10.0 as inorganic salt source, ascorbic acid 10.0 as stabilizer, distilled water 1000 ml and the optimized fermentation conditions were pH 7.0, temperature 37 degrees C and duration 24 hr. The modified fermentation medium produced 27.36 IU/ml of serratiopeptidase compared to 17.97 IU/ml in basal medium and the molecular weight of the purified serratiopeptidase was found to be 52 kD.     

Racial/ethnic differences in activities of daily living disability in older adults with arthritis: a longitudinal study

OBJECTIVE: To investigate racial/ethnic differences in disability onset among older Americans with arthritis. Factors amenable to clinical and public health intervention that may explain racial/ethnic differences in incident disability were examined. METHODS: We analyzed longitudinal data (1998-2004) from a national representative sample of 5,818 non-Hispanic whites, 1,001 African Americans, 228 Hispanics interviewed in Spanish (Hispanic/Spanish), and 210 Hispanics interviewed in English (Hispanic/English), with arthritis and age >or=51 years who did not have baseline disability. Disability in activities of daily living (ADL) was identified from report of inability, avoidance, or needing assistance to perform >or=1 ADL task. RESULTS: Over the period of 6 years, 28.0% of African Americans, 28.5% of Hispanic/Spanish, 19.1% of Hispanic/English, and 16.2% of whites developed disability. The demographic-adjusted disability hazard ratios (AHR) were significantly greater among African Americans (AHR 1.94, 95% confidence interval [95% CI] 1.51-2.38) and Hispanic/Spanish (AHR 2.03, 95% CI 1.35-2.71), but not significantly increased for Hispanic/English (AHR 1.41, 95% CI 0.82-2.00) compared with whites. Differences in health factors (comorbid conditions, functional limitations, and behaviors) explained over half the excess risk among African Americans and Hispanic/Spanish. Medical access factors (education, income, wealth, and health insurance) were substantial mediators of racial/ethnic differences in all minority groups. CONCLUSION: Racial/ethnic differences in the development of disability among older adults with arthritis were largely attenuated by health and medical access factors. Lack of health insurance was particularly problematic. At the clinical level, treatment of comorbid conditions, functional limitations, and promotion of physical activity and weight maintenance should be a priority to prevent the development of disability, especially in minority populations.