Fractionated stereotactic radiotherapy of intracranial postoperative cavities after resection of brain metastases - Clinical outcome and prognostic factors

Background and Purpose

After surgical resection of brain metastases (BM), radiotherapy (RT) is indicated. Postoperative stereotactic radiosurgery (SRS) reduces the risk of local progression and neurocognitive decline compared to whole brain radiotherapy (WBRT). Aside from the optimal dose and fractionation, little is known about the combination of systemic therapy and postoperative fractionated stereotactic radiotherapy (fSRT), especially regarding tumour control and toxicity.

Methods

In this study, 105 patients receiving postoperative fSRT with 35 Gy in 7 fractions performed with Cyberknife were retrospectively reviewed. Overall survival (OS), local control (LC) and total intracranial brain control (TIBC) were analysed via Kaplan-Meier method. Cox proportional hazards models were used to identify prognostic factors.

Results

Median follow-up was 20.8 months. One-year TIBC was 61.6% and one-year LC was 98.6%. Median OS was 28.7 (95%-CI: 16.9-40.5) months. In total, local progression (median time not reached) occurred in 2.0% and in 20.4% radiation-induced contrast enhancements (RICE) of the cavity (after median of 14.3 months) were diagnosed. Absence of extracranial metastases was identified as an independent prognostic factor for superior OS (p = <0.001) in multivariate analyses, while a higher Karnofsky performance score (KPS) was predictive for longer OS in univariate analysis (p = 0.041). Leptomeningeal disease (LMD) developed in 13% of patients.

Conclusion

FSRT after surgical resection of BM is an effective and safe treatment approach with excellent local control and acceptable toxicity. Further prospective randomized trials are needed to establish standardized therapeutic guidelines.

Diagnostic findings in sinonasal aspergillosis in dogs in the United Kingdom: 475 cases (2011-2021)

OBJECTIVES

To describe the diagnostic tests used and their comparative performance in dogs diagnosed with sinonasal aspergillosis in the United Kingdom. A secondary objective was to describe the signalment, clinical findings and common clinicopathologic abnormalities in sinonasal aspergillosis.

MATERIALS AND METHODS

A multi-centre retrospective survey was performed involving 23 referral centres in the United Kingdom to identify dogs diagnosed with sinonasal aspergillosis from January 2011 to December 2021. Dogs were included if fungal plaques were seen during rhinoscopy or if ancillary testing (via histopathology, culture, cytology, serology or PCR) was positive and other differential diagnoses were excluded.

RESULTS

A total of 662 cases were entered into the database across the 23 referral centres. Four hundred and seventy-five cases met the study inclusion criteria. Of these, 419 dogs had fungal plaques and compatible clinical signs. Fungal plaques were not seen in 56 dogs with turbinate destruction that had compatible clinical signs and a positive ancillary test result. Ancillary diagnostics were performed in 312 of 419 (74%) dogs with observed fungal plaques permitting calculation of sensitivity of cytology as 67%, fungal culture 59%, histopathology 47% and PCR 71%.

CLINICAL SIGNIFICANCE

The sensitivities of ancillary diagnostics in this study were lower than previously reported challenging the clinical utility of such tests in sinonasal aspergillosis. Treatment and management decisions should be based on a combination of diagnostics including imaging findings, visual inspection, and ancillary testing, rather than ancillary tests alone.

Interaction of SMAC/Diablo with a survivin/BIRC5-derived peptide alters essential cancer hallmarks: tumor growth, inflammation, and immunosuppression

SMAC/Diablo is known as a pro-apoptotic mitochondrial protein released into the cytosol in response to apoptotic signals. We recently reported SMAC overexpression in cancers as essential for cell proliferation and tumor growth due to non-apoptotic functions including phospholipid synthesis regulation. These functions may be associated with its interactions with partner proteins. Using a peptide array with 768 peptides derived from 11 selected SMAC-interacting proteins, we identified SMAC-interacting sequences. These SMAC-binding sequences were produced as cell penetrating peptides targeted to the cytosol, mitochondria, or nucleus, inhibiting cell proliferation and inducing apoptosis in several cell lines. For in-vivo study, a survivin/BIRC5-derived peptide was selected due to its overexpression in many cancers, and involvement in mitosis, apoptosis, autophagy, cell proliferation, inflammation, and immune responses, as a target for cancer therapy. Specifically, a SMAC-targeting survivin/BIRC5-derived peptide, given intratumorally or intravenously, strongly inhibited lung tumor growth, cell proliferation, angiogenesis, and inflammation, induced apoptosis, and remodeled the tumor microenvironment. The peptide promoted tumor infiltration of CD8+ cells and increased cell-intrinsic PD-1/PD-L1 expression, resulting in cancer cell self-destruction and increased tumor cell death, preserving immune cells. Thus, targeting the interaction between the multifunctional proteins SMAC and survivin represents a innovative therapeutic cancer paradigm.

High-precision regressors for particle physics

Monte Carlo simulations of physics processes at particle colliders like the Large Hadron Collider at CERN take up a major fraction of the computational budget. For some simulations, a single data point takes seconds, minutes, or even hours to compute from first principles. Since the necessary number of data points per simulation is on the order of 10 9 - 10 12 , machine learning regressors can be used in place of physics simulators to significantly reduce this computational burden. However, this task requires high-precision regressors that can deliver data with relative errors of less than 1% or even 0.1% over the entire domain of the function. In this paper, we develop optimal training strategies and tune various machine learning regressors to satisfy the high-precision requirement. We leverage symmetry arguments from particle physics to optimize the performance of the regressors. Inspired by ResNets, we design a Deep Neural Network with skip connections that outperform fully connected Deep Neural Networks. We find that at lower dimensions, boosted decision trees far outperform neural networks while at higher dimensions neural networks perform significantly better. We show that these regressors can speed up simulations by a factor of 10 3 - 10 6 over the first-principles computations currently used in Monte Carlo simulations. Additionally, using symmetry arguments derived from particle physics, we reduce the number of regressors necessary for each simulation by an order of magnitude. Our work can significantly reduce the training and storage burden of Monte Carlo simulations at current and future collider experiments.

Synthesis, antimicrobial, anticancer evaluation and molecular docking with Bax and MDM2 of dibromosterculic acid

Dibromosterculic acid [8-(1,2-dibromo-2-octylcyclopropyl)-octanoic acid], a new synthetic derivative was prepared by bromination of sterculic acid. This synthetic derivative showed strong fungicidal activity against two pathogenic fungal species namely Penicillium chrysogenum and Aspergillus niger with minimum inhibitory concentration (MIC) value of 0.007 mg/ml and good bactericidal activity against Bacillus subtilis and Xanthomonas sp. with MIC value of 0.015 mg/ml. Cytotoxic activity on both normal (MCF-10A) and cancerous (MDA-MB-468) cell lines revealed that the survivability percentage of normal cells was unaffected, whereas cancerous cells were decreased greatly by dibromosterculic acid with 50% survivability at 9 µg/ml concentration. Molecular-docking using AutoDock 4.2 with Bax exhibited strong pi-sigma interaction with PHE-93, pi-alkyl and alkyl interaction with TRP-139, ARG-89 and PHE-92 whereas MDM2 revealed strong hydrogen bond interaction with GLN-59 and pi-alkyl interaction with PHE-55. All experimental parameters suggested that this synthetic derivative would be valuable for target-specific drug development with nominal side effects.

Hyperon Polarization along the Beam Direction Relative to the Second and Third Harmonic Event Planes in Isobar Collisions at sqrt[s_{NN}]=200 GeV

The polarization of Λ and Λ[over ¯] hyperons along the beam direction has been measured relative to the second and third harmonic event planes in isobar Ru+Ru and Zr+Zr collisions at sqrt[s_{NN}]=200  GeV. This is the first experimental evidence of the hyperon polarization by the triangular flow originating from the initial density fluctuations. The amplitudes of the sine modulation for the second and third harmonic results are comparable in magnitude, increase from central to peripheral collisions, and show a mild p_{T} dependence. The azimuthal angle dependence of the polarization follows the vorticity pattern expected due to elliptic and triangular anisotropic flow, and qualitatively disagrees with most hydrodynamic model calculations based on thermal vorticity and shear induced contributions. The model results based on one of existing implementations of the shear contribution lead to a correct azimuthal angle dependence, but predict centrality and p_{T} dependence that still disagree with experimental measurements. Thus, our results provide stringent constraints on the thermal vorticity and shear-induced contributions to hyperon polarization. Comparison to previous measurements at RHIC and the LHC for the second-order harmonic results shows little dependence on the collision system size and collision energy.

Detection of Oncogenic Human Papillomavirus (HPV-16 and HPV-18) from Bacterial Vaginosis Positive Patient Attending at Tertiary Care Hospital in Mymensingh

Cervical cancer is the fourth most common cancer in women in the world and is the second leading malignancy among Bangladeshi women. Persistent infection with high risk human papillomavirus (HPV) is an important cause of development of cervical intraepithelial neoplasia (CIN) followed by cancer. Bacterial vaginosis (BV), a common treatable vaginal infection which can disrupt the balanced vaginal ecosystem and its innate protective mechanisms against infection, can play an essential role in the acquisition and persistence of high risk human papillomavirus (HR-HPV) infection. This cross sectional study was conducted to detect the HR-HPV (HPV-16 and HPV-18) infection among bacterial vaginosis positive patient in the Department of Microbiology, Mymensingh Medical College (MMC), Bangladesh, from March 2018 to February 2019. A total of 300 endocervical swabs and high vaginal swabs were collected from the VIA (Visual inspection with acetic acid) outdoor clinic of Obstetrics and Gynaecology Department of Mymensingh Medical college Hospital. HPV DNA was tested among all 300 cases by nested PCR. Typing of HPV 16 and HPV 18 was done among HPV DNA positive cases with BV and intermediate flora by multiplex PCR. BV was diagnosed according to Nugent criteria by using the gram stained smear of high vaginal swab. A total of 57/300 (19.0%) samples were positive for HPV DNA by nested PCR. Of the total 300 cases 78(26.0%) had BV, 38(13.0%) had intermediate flora and 184(61.0%) had normal vaginal flora. HPV DNA was more positive in patients having intermediate flora 08/38 (21.05%) followed by the patients having normal vaginal flora 37/184 (20.11%) and BV 12/78 (15.38%). Among the 12 BV patients who were also HPV DNA positive (83.33%) were belong to high risk HPV (type 16 and 18) group and among them 08(66.67%) were HPV-16 and 02(16.67%) were HPV-18. But among 08 HPV DNA positive intermediate flora containing patients only 01(12.5%) were belong to HR-HPV (type 16 and no type 18 was detected).

Thyroid Hormone Level in Children with Nephrotic Syndrome

Nephrotic syndrome is the most common glomerular disease affecting children. Hypothyroidism is one of the most important complications which occur due to urinary loss of protein bound thyroid hormones, such as thyroxin binding globulin, transthyretin and albumin. This cross sectional study was conducted in the Department of Pediatric, Mymensingh Medical College Hospital (MMCH), Bangladesh from February 2018 to October 2019. This study was carried out to find out the thyroid profile in children with nephrotic syndrome and compared with thyroid profile of other acute illness in children. Total 122 children aged 2-12 years, further subdivided into Group A (n=61) suffering from nephrotic syndrome (1st attack, infrequent relapse) and Group B (n=61) other disease like viral fever, pneumonia, bronchiolitis, diarrhoea, UTI. Demographic details of patients and their relevant clinical details were obtained by an interviewer administered questionnaire. Blood for free T4, TSH were taken and compared between both groups. The mean FT4 values in Group A and Group B were 16.09±22.32fmol/ml and 68.22±11.65fmol/ml respectively, whereas the TSH level was significantly higher in Group A than controls (5.42±1.04 vs. 3.53±1.44). The T4 levels in nephrotic syndrome (Group A) patients were low. Analysis was done by using SPSS 22.0 version for windows software. Continuous and catagorical parameters were compared by unpaired 't' test and Chi-Square test. A p-value of 0.05 was considered significant. Hypothyroidism was found more in younger children i.e. age less than 6 years. This study concluded that children with nephrotic syndrome have a state of hypothyroidism.

Ear Infections by Non albicans Candida Species with Isolation of Rare Drug Resistant Species in a Tertiary Care Hospital of Bangladesh

Otomycosis, a fungal infection of external ear, is challenging for both patients and otolaryngologist as it requires long term treatment and follow up. Candida spp. is second common organism causing otomycosis with Aspergillus being first. Among Candida species, C. albicans is considered as most common but in recent years there is increasing incidence of Non albicans Candida (NAC) species with greater resistance and recurrence. This descriptive type of observational study was planned to determine the species distribution and antifungal susceptibility of Candida spp. causing otomycosis. From March 2021 to February 2022, 60 patients clinically suspected of Candida associated otomycosis at Mymensingh Medical College Hospital, Bangladesh were enrolled. Specimens were taken by an otorhinolaryngologist. After culture and microscopic examination, isolated Candida species were identified by phenotypic and genotypic method and antifungal susceptibility was determined at Department of Microbiology, Mymensingh Medical College. From 60 samples 18(30.0%) were positive for Candida on microscopy and culture. Of the isolates, C. albicans were 2(11.11%) and Non albicans Candida (NAC) 16(88.89%). Five different NAC species were identified of which C. parapsilosis was predominant 5(27.77%) followed by C. tropicalis 4(22.22%) and C. famata 3(16.67%). Rare species of C. ciferrii 2(11.11)%, Kodamaea ohmeri 2(11.11%) were isolated. Candida spp. showed highest resistance to Clotrimazole 8(44.0%) followed by Itraconazole 6(33.0%), Nystatin 4(22.0%) and Fluconazole 3(17.0%). C. ciferrii and Kodamaea ohmeri showed resistance to all antifungals except Nystatin. Outcomes from this study showed a different picture of species distribution, with isolation of rare and emerging drug resistant threatening species like C. ciferri and Kodamea ohmeri which necessitates more detailed survey.

Measurements of the Elliptic and Triangular Azimuthal Anisotropies in Central ^{3}He+Au, d+Au and p+Au Collisions at sqrt[s_{NN}]=200 GeV

The elliptic (v_{2}) and triangular (v_{3}) azimuthal anisotropy coefficients in central ^{3}He+Au, d+Au, and p+Au collisions at sqrt[s_{NN}]=200  GeV are measured as a function of transverse momentum (p_{T}) at midrapidity (|η|<0.9), via the azimuthal angular correlation between two particles both at |η|<0.9. While the v_{2}(p_{T}) values depend on the colliding systems, the v_{3}(p_{T}) values are system independent within the uncertainties, suggesting an influence on eccentricity from subnucleonic fluctuations in these small-sized systems. These results also provide stringent constraints for the hydrodynamic modeling of these systems.

Observation of Directed Flow of Hypernuclei _{Λ}^{3}H and _{Λ}^{4}H in sqrt[s_{NN}]=3 GeV Au+Au Collisions at RHIC

We report here the first observation of directed flow (v_{1}) of the hypernuclei _{Λ}^{3}H and _{Λ}^{4}H in mid-central Au+Au collisions at sqrt[s_{NN}]=3  GeV at RHIC. These data are taken as part of the beam energy scan program carried out by the STAR experiment. From 165×10^{6} events in 5%-40% centrality, about 8400 _{Λ}^{3}H and 5200 _{Λ}^{4}H candidates are reconstructed through two- and three-body decay channels. We observe that these hypernuclei exhibit significant directed flow. Comparing to that of light nuclei, it is found that the midrapidity v_{1} slopes of _{Λ}^{3}H and _{Λ}^{4}H follow baryon number scaling, implying that the coalescence is the dominant mechanism for these hypernuclei production in the 3 GeV Au+Au collisions.

Beam Energy Dependence of Triton Production and Yield Ratio (N_{t}×N_{p}/N_{d}^{2}) in Au+Au Collisions at RHIC

We report the triton (t) production in midrapidity (|y|<0.5) Au+Au collisions at sqrt[s_{NN}]=7.7-200  GeV measured by the STAR experiment from the first phase of the beam energy scan at the Relativistic Heavy Ion Collider. The nuclear compound yield ratio (N_{t}×N_{p}/N_{d}^{2}), which is predicted to be sensitive to the fluctuation of local neutron density, is observed to decrease monotonically with increasing charged-particle multiplicity (dN_{ch}/dη) and follows a scaling behavior. The dN_{ch}/dη dependence of the yield ratio is compared to calculations from coalescence and thermal models. Enhancements in the yield ratios relative to the coalescence baseline are observed in the 0%-10% most central collisions at 19.6 and 27 GeV, with a significance of 2.3σ and 3.4σ, respectively, giving a combined significance of 4.1σ. The enhancements are not observed in peripheral collisions or model calculations without critical fluctuation, and decreases with a smaller p_{T} acceptance. The physics implications of these results on the QCD phase structure and the production mechanism of light nuclei in heavy-ion collisions are discussed.

Revisiting and redefining return rate for determination of the precise growth status of a species

Growth curve models play an instrumental role in quantifying the growth of biological processes and have immense practical applications across all disciplines. The most popular growth metric to capture the species fitness is the "Relative Growth Rate" in this domain. The different growth laws, such as exponential, logistic, Gompertz, power, and generalized Gompertz or generalized logistic, can be characterized based on the monotonic behavior of the relative growth rate (RGR) to size or time. Thus, in this case, species fitness can be determined truly through RGR. However, in nature, RGR is often non-monotonic and specifically bell-shaped, especially in the situation when a species is adapting to a new environment [1]. In this case, species may experience with the same fitness (RGR) for two different time points. The species precise growth and maturity status cannot be determined from this RGR function. The instantaneous maturity rate (IMR), as proposed by [2], helps to determine the correct maturity status of the species. Nevertheless, the metric IMR suffers from severe drawbacks; (i) IMR is intractable for all non-integer values of a specific parameter. (ii) The measure depends on a model parameter. The mathematical expression of IMR possesses the term "carrying capacity" which is unknown to the experimenter. (iii) Note that for identifying the precise growth status of a species, it is also necessary to understand its response when the populations are deflected from their equilibrium position at carrying capacity. This is an established concept in population biology, popularly known as the return rate. However, IMR does not provide information on the species deflection rate at the steady state. Hence, we propose a new growth measure connected with the species return rate, termed the "reverse of relative of relative growth rate" (henceforth, RRRGR), which is treated as a proxy for the IMR, having similar mathematical properties. Finally, we introduce a stochastic RRRGR model for specifying precise species growth and status of maturity. We illustrate the model through numerical simulations and real fish data. We believe that this study would be helpful for fishery biologists in regulating the favorable conditions of growth so that the species can reach a steady state with optimum effort.

Measurement of Sequential ϒ Suppression in Au+Au Collisions at sqrt[s_{NN}]=200 GeV with the STAR Experiment

We report on measurements of sequential ϒ suppression in Au+Au collisions at sqrt[s_{NN}]=200  GeV with the STAR detector at the Relativistic Heavy Ion Collider (RHIC) through both the dielectron and dimuon decay channels. In the 0%-60% centrality class, the nuclear modification factors (R_{AA}), which quantify the level of yield suppression in heavy-ion collisions compared to p+p collisions, for ϒ(1S) and ϒ(2S) are 0.40±0.03(stat)±0.03(sys)±0.09(norm) and 0.26±0.08(stat)±0.02(sys)±0.06(norm), respectively, while the upper limit of the ϒ(3S) R_{AA} is 0.17 at a 95% confidence level. This provides experimental evidence that the ϒ(3S) is significantly more suppressed than the ϒ(1S) at RHIC. The level of suppression for ϒ(1S) is comparable to that observed at the much higher collision energy at the Large Hadron Collider. These results point to the creation of a medium at RHIC whose temperature is sufficiently high to strongly suppress excited ϒ states.

Beam Energy Dependence of Fifth- and Sixth-Order Net-Proton Number Fluctuations in Au+Au Collisions at RHIC

We report the beam energy and collision centrality dependence of fifth and sixth order cumulants (C_{5}, C_{6}) and factorial cumulants (κ_{5}, κ_{6}) of net-proton and proton number distributions, from center-of-mass energy (sqrt[s_{NN}]) 3 GeV to 200 GeV Au+Au collisions at RHIC. Cumulant ratios of net-proton (taken as proxy for net-baryon) distributions generally follow the hierarchy expected from QCD thermodynamics, except for the case of collisions at 3 GeV. The measured values of C_{6}/C_{2} for 0%-40% centrality collisions show progressively negative trend with decreasing energy, while it is positive for the lowest energy studied. These observed negative signs are consistent with QCD calculations (for baryon chemical potential, μ_{B}≤110  MeV) which contains the crossover transition range. In addition, for energies above 7.7 GeV, the measured proton κ_{n}, within uncertainties, does not support the two-component (Poisson+binomial) shape of proton number distributions that would be expected from a first-order phase transition. Taken in combination, the hyperorder proton number fluctuations suggest that the structure of QCD matter at high baryon density, μ_{B}∼750  MeV at sqrt[s_{NN}]=3  GeV is starkly different from those at vanishing μ_{B}∼24  MeV at sqrt[s_{NN}]=200  GeV and higher collision energies.

Deciphering the segregation of proteins in high-protein dairy powders after spray-drying

High-protein dairy powders are ingredients mainly produced by spray-drying, then subjected to aging during transport and storage. They often undergo physicochemical changes at this stage, such as the development of the Maillard reaction, primarily because of their intrinsic chemical properties, but also as a result of nonoptimal storage conditions. Components present at the particle surface are the first to be targeted by moisture and other environmental disruptions. Consequently, the identification, control, and prediction of particle surface components are useful to anticipate the effect of powder aging on product quality. Here, a new diafiltration method is proposed which fractionates proteins from a binary colloidal dispersion of 80% casein micelles and 20% whey proteins, according to their presence at the surface or core of the particle. This method shows that whey proteins are strongly enriched at the particle surface, whereas casein micelles are located at the core of the particles. This protocol also allows the identification of the rehydration kinetics for each rehydrated protein layer of the particle, revealing that 2 distinct forms of swelling occur: (1) a rapid swelling and elution of whey proteins present at the particle surface, and (2) a swelling of casein micelles located below the whey proteins, associated with a slow elution of casein micelles from the particles being rehydrated.

Causal connections between socioeconomic disparities and COVID-19 in the USA

With the increasing use of machine learning models in computational socioeconomics, the development of methods for explaining these models and understanding the causal connections is gradually gaining importance. In this work, we advocate the use of an explanatory framework from cooperative game theory augmented with do calculus, namely causal Shapley values. Using causal Shapley values, we analyze socioeconomic disparities that have a causal link to the spread of COVID-19 in the USA. We study several phases of the disease spread to show how the causal connections change over time. We perform a causal analysis using random effects models and discuss the correspondence between the two methods to verify our results. We show the distinct advantages a non-linear machine learning models have over linear models when performing a multivariate analysis, especially since the machine learning models can map out non-linear correlations in the data. In addition, the causal Shapley values allow for including the causal structure in the variable importance computed for the machine learning model.

POS1105 EFFICACY AND SAFETY OF COLCHICINE FOR THE TREATMENT OF OSTEOARTHRITIS: A SYSTEMATIC REVIEW AND META-ANALYSIS OF INTERVENTION TRIALS

Background

Colchicine, an approved treatment for gout, has been trialled in many diseases, including osteoarthritis (OA), due to its anti-inflammatory effects. However, its efficacy and safety remain unclear in OA.

Objectives

This systematic review and meta-analysis evaluated the efficacy and safety of colchicine for the treatment of OA.1

Methods

PubMed, Web of Science, Scopus, and Cochrane Central were searched from inception through November 2020. Two reviewers independently screened for randomised controlled trials (RCTs) comparing colchicine with placebo or other active-comparators for the treatment of OA (knee, hand, or hip OA), extracted data, and performed Cochrane risk of bias assessments.

Results

The search retrieved 391 articles after removing duplicates, and 16 full-text articles were reviewed for eligibility (Figure 1A). Ten RCTs, nine in knee OA, one in hand OA, consisting of 847 patients (429 in colchicine arm, 409 in control arm) were included. RCTs were conducted between 2002 and 2021; three in India, two in Iran and Turkey, and one each in Australia, Singapore, and Iraq; follow-up period ranged 2 to 12 months. Moderate-quality evidence showed no clinically important pain reduction with colchicine compared to placebo in knee/hand OA patients (standardised mean difference [SMD], -0.17; 95% confidence interval [CI], -0.55 to 0.22) (Figure 1B). Moderate-quality evidence showed no improvement in dysfunction with colchicine compared to placebo in knee OA patients (SMD, -0.37; 95% CI, -0.87 to 0.13). Colchicine showed an acceptable safety profile with AEs/SAEs comparable to placebo (Figure 1C)

Conclusion

Current evidence does not conclusively suggest a benefit of colchicine in reducing pain and improving physical function in hand/knee OA patients. Future trials should focus on the sub-groups of OA patients with local or systemic evidence of inflammation and/or mineralisation who may benefit from colchicine.

References

[1]Rheumatology (Oxford). 2018 Jan 1;57(suppl_1):i4-i11.

Disclosure of Interests

None declared

LB0003 WITHDRAWING METHOTREXATE AFTER BOTH VERSUS ONLY SECOND DOSE OF THE ChAdOx1 nCoV-19 VACCINE IN PATIENTS WITH AUTOIMMUNE INFLAMMATORY ARTHRITIS: TWO INDEPENDENT RANDOMIZED CONTROLLED TRIALS (MIVAC I AND II)

Background

Pausing methotrexate (MTX) for two to four weeks, improved immunogenicity of influenza vaccination in patients with rheumatoid arthritis (RA), albeit a risk of disease flare (1). This guided the framing of guidelines on MTX withdrawal for COVID-19 vaccination (2). However, evidence for MTX withdrawal for COVID-19 vaccination is limited to observational studies only.

Objectives

To compare the efficacy and safety of holding MTX after each (MIVAC 1) and only after the second dose (MIVAC II) of the ChAdOx1 vaccine versus continuation of MTX in two randomized controlled trials (RCTs).

Methods

Two single centre, investigator-blinded, RCTs were conducted in patients with RA or Psoriatic arthritis (PsA) on stable doses of MTX without prior COVID-19 (CTRI reg. no. MIVAC I: CTRI/2021/07/03463 & MIVAC II: CTRI/2021/07/035307). In MIVAC I, unvaccinated patients were randomised (1:1) to hold or continue MTX for two weeks after each dose of the vaccine. MIVAC II included patients who had continued MTX during the first dose of ChAdOx1 and were randomised (1:1) to hold or continue MTX for 2 weeks after the second vaccine dose. The primary outcome for both the trials was the anti-Receptor Binding Domain (RBD) antibody titres measured four weeks after the second vaccine dose (per protocol analysis). Secondary outcome was the flare rate, defined as an increase in disease activity scores (DAS28/cDAPSA) or physician intent to hike DMARDs.

Results

250 patients were randomized for MIVAC 1 and 178 for MIVAC II and after due exclusions, 158 and 157 were eligible for analysis respectively (Figure 1). In MIVAC I, median anti-RBD titres were significantly high in the MTX hold group [2484 (1050-4388) versus 1147(433-2360), p=0.001] but the flare rate was higher in the hold group [20 (25%) versus 6(8%) p=0.005] compared to continue group. In MIVAC II median anti-RBD titres were significantly high for the MTX hold group [2553 (1792-4823) versus 990 (356-2252), p=0.001] when compared to continue group but there was no difference in the flare rate between the groups [9(11.8%) and 4(7.9%), p=0.15] (Table 1). Since both were parallel studies in similar population, MTX hold arms across both the trials were compared for anti-RBD titres and flare. There was no difference in the anti-RBD titres [p=0.2] between the groups. In MIVAC I, 29(36.25%) patients had reported flare (19 in either first or second dose, 10 for both doses) when compared to MIVAC II where only 9(11.84%) patients had reported flare after the second dose (P <0.001).

Table 1.

Baseline demographics and key results

VariableMIVAC IMIVAC IIMTX HoldMTX ContinuePMTX HoldMTX ContinueP valueN=80N=78valueN=76N=81Age†48 (38-53.3)49 (39-59)0.1953 (42.3-59)53(50-62)0.14Female (%) ‡73 (91.3)75 (96.2)0.3365 (85.5)70 (86.4)>0.99RA (%) ‡69(86.3)69 (93.2)70 (85.6)80 (87.7)PsA (%) ‡11(13.8)6 (8.1)0.316 (7.9)1 (1.2)0.057DAS28†2.7 (2.4-3.2)2.6 (2-3.3)0.62.7(2.3-3.4)2.8 (2.1-3.5)0.78cDAPSA †2(3-4.5)2.5(1.3-3.8)0.463(2.8-3)30.15Prednisolone (%) ‡29 (36.3)23(31.1)0.424(31.6)26 (32.1)>0.99MTX mg/week†17.5 (10-25)15 (10-20)0.05715 (9.4-25)17.5(7.5-25)0.92Anti- RBD antibody titres post second dose (IU/mL) †2484 (1050-4388.8)1147.5 (433.5-2360.3)<0.0012553.5 (1792.5-4823.8)990.5 (356.1-2252.5)<0.001Flare (N%) ‡Post first dose20 (25)6 (8)0.005NANAPost second dose19 (23.8)10(13.3)0.19 (11.8)4 (7.9)0.15

All analysis as per protocol population.

†Median (interquartile range): Mann Whitney U test.

‡ N (%): Fisher Exact test

. Bolded if p<0.05.

Conclusion

Holding MTX after both the doses or only after the second dose of ChAdOx1 yields higher anti-RBD antibody titres as compared to continuing MTX. Comparing across the trials, holding MTX only after the second dose appears to be non-inferior to holding MTX after both doses of the vaccine with a lesser risk of flare.

References

[1]Park JK et al. Clin Rheumatol. 2020 Feb; 39(2):375-379.

[2]Curtis JR, et al. Arthritis & Rheumatology. 2021 Oct;73(10): e60-75.

Acknowledgements

Acknowledgments to all participating investigators, patients and their families

Disclosure of Interests

Anu Sreekanth: None declared, Teny Skaria: None declared, Sneha Joseph: None declared, Rashwith Umesh: None declared, Manju Mohanan: None declared, Aby Paul: None declared, Sakir Ahmed Speakers bureau: Sakir Ahmed had received honorarium as speaker from Pfizer, Dr Reddy’s, Cipla, and Novartis unrelated to this Comment, Pankti Mehta: None declared, Seena Oomen: None declared, Janet Benny: None declared, Justin George: None declared, Anagha Paulose: None declared, K Narayanan: None declared, Sanjana Joseph: None declared, Anuroopa Vijayan: None declared, Kaveri Nalianda: None declared, Padmanabha Shenoy: None declared

Investigation and control strategy for canine distemper disease on endangered wild dog species: a model-based approach

The canine distemper virus (CDV) is a major threat to the already endangered wild dogs. We propose an evidence-based mathematical model of canine distemper in the wild to predict the rate and possibility of disease spread in wild dogs under a different scenario. We find the endemic and disease-free equilibrium points and the condition for their stability from the model. The bifurcation analysis of the model shows how the endemic equilibrium can be transformed into the disease-free equilibrium through parameters that represent fundamental ecological properties. The sensitivity of these parameters to the secondary disease spread points out the specific interaction rates and a birth rate that should be targeted to reduce the CDV outbreak. We suggest target parameters for controlling the disease outbreak considering the plausibility of manipulating them in terms of implications besides the sensitivity of the parameters. Finally, this article proposes two specific control strategies based on this modeling framework: isolation and birth-control-reintroduction. Since the isolation strategy may be cost-intensive, we modify our model to quantify the isolation rate necessary to reduce the disease outbreak. We suggest that the birth-control-reintroduction strategy based on the proposed model is cost-effective for a small contaminated area. Overall, the models in this study is applied in the field of conservation biology.

Simple and statistically sound recommendations for analysing physical theories

Physical theories that depend on many parameters or are tested against data from many different experiments pose unique challenges to statistical inference. Many models in particle physics, astrophysics and cosmology fall into one or both of these categories. These issues are often sidestepped with statistically unsound ad hoc methods, involving intersection of parameter intervals estimated by multiple experiments, and random or grid sampling of model parameters. Whilst these methods are easy to apply, they exhibit pathologies even in low-dimensional parameter spaces, and quickly become problematic to use and interpret in higher dimensions. In this article we give clear guidance for going beyond these procedures, suggesting where possible simple methods for performing statistically sound inference, and recommendations of readily-available software tools and standards that can assist in doing so. Our aim is to provide any physicists lacking comprehensive statistical training with recommendations for reaching correct scientific conclusions, with only a modest increase in analysis burden. Our examples can be reproduced with the code publicly available at Zenodo.

Probing the Gluonic Structure of the Deuteron with J/ψ Photoproduction in d+Au Ultraperipheral Collisions

Understanding gluon density distributions and how they are modified in nuclei are among the most important goals in nuclear physics. In recent years, diffractive vector meson production measured in ultraperipheral collisions (UPCs) at heavy-ion colliders has provided a new tool for probing the gluon density. In this Letter, we report the first measurement of J/ψ photoproduction off the deuteron in UPCs at the center-of-mass energy sqrt[s_{NN}]=200  GeV in d+Au collisions. The differential cross section as a function of momentum transfer -t is measured. In addition, data with a neutron tagged in the deuteron-going zero-degree calorimeter is investigated for the first time, which is found to be consistent with the expectation of incoherent diffractive scattering at low momentum transfer. Theoretical predictions based on the color glass condensate saturation model and the leading twist approximation nuclear shadowing model are compared with the data quantitatively. A better agreement with the saturation model has been observed. With the current measurement, the results are found to be directly sensitive to the gluon density distribution of the deuteron and the deuteron breakup process, which provides insights into the nuclear gluonic structure.

Socio-demographic and Clinico-epidemiological Study of Scrub Typhus in A Tertiary Care Hospital of Mymensingh, Bangladesh

Scrub typhus is one of the leading causes of undifferentiated treatable febrile illness in Asia pacific region. It is grossly under diagnosed in many tropical countries of South Asia including Bangladesh, due to wide range of non-specific clinical presentations, low index of suspicion among clinicians, limited awareness and lack of accurate diagnostic facilities. This cross sectional observational study was conducted at department of Microbiology, Mymensingh Medical College, Mymensingh, Bangladesh from March 2019 to February 2020 enrolling 113 diagnosed cases of scrub typhus by Immunochromatographic test (ICT) and / or Nested PCR to characterize the socio-demographic and clinico-epidemiological features of scrub typhus in Mymensingh area. Majority of the scrub typhus cases came from rural areas (63.83%) and there was a slight female predominance (52.21%). The young (32.74%) and the young-adult age group (28.31%) were mostly affected. Most of the scrub typhus cases were housewives (30.98%), followed by farmers (23.89%) and students (21.23%). All the enrolled cases presented with fever. Other findings were myalgia (76.10%), headache (56.63%), cough (30.97%), vomiting (12.38%) and Respiratory distress (9.73%). Typical eschar of scrub typhus was present only in 9(7.96%) cases and 4(3.53%) patients had rashes on their skin. Few cases (3.53%) had jaundice and 15.96% cases were anaemic. Oliguria (7.96%) and neck rigidity (1.76%) were also documented. Most of the Nested PCR positive scrub typhus cases were documented during late rainy season and beginning of winter months. Findings of the study may offer increased awareness about high burden of scrub typhus as well as heightened suspicion among clinicians for early diagnosis, timely treatment and prevention of complications.

Detection of Quinolone Resistance Pattern and Presence of qnr Genes in Human Salmonella Isolates at Mymensingh, Bangladesh

Among the quinolones, fluoroquinolones are broad spectrum antimicrobial agents used for treating many clinical infections including Salmonellosis. Although high level of resistance to fluoroquinolones remains low in Salmonella but reduced susceptibility is increasing worldwide. Plasmid-mediated quinolone resistance (PMQR) of qnr type (qnrA, B and S) has been identified now a day in several enterobacterial species including Salmonella spp. This cross-sectional study was held at department of Microbiology, Mymensingh Medical College, Mymensingh, Bangladesh from March 2019 to February 2020. This study was conducted to determine the current quinolone resistance pattern and to detect the presence of qnrA, qnrB and qnrS genes among Salmonella isolates. Antimicrobial susceptibility test of 36 Salmonella isolates were done by disc diffusion method. MIC of ciprofloxacin was detected by agar dilution method. Then amplification with specific primers of qnrA, qnrB and qnrS genes were performed for all Salmonella isolates. The present study observed 80.5% resistance to nalidixic acid, 33.3% to ciprofloxacin and 19.4% to ofloxacin by disc diffusion method. qnr A gene was detected in 2(5.5%) isolates, where as qnrS was detected in 5 (13.8%) isolates. None of the isolates was positive for qnrB gene. All the qnrA positive isolates showed resistance to Ciprofloxacin (MIC=128μg/ml) and Ofloxacin. In conclusion, presence of qnr genes in the study isolates is alarming, because, rapid dissemination might occur due to conjugative plasmid mediated horizontal transfer.

Rapid Serologic and Molecular Diagnosis of Scrub Typhus among Suspected Febrile Patients Visiting Mymensingh Medical College Hospital

Scrub typhus, caused by the bacterium- Orientia tsutsugamushi is one of the leading causes of undifferentiated treatable febrile illness in Asia pacific region. It is grossly under diagnosed in many tropical countries of South Asia including Bangladesh, due to wide range of non-specific clinical presentations, low index of suspicion among clinicians, limited awareness and lack of accurate diagnostic facilities. This cross-sectional descriptive study was conducted at Department of Microbiology, Mymensingh Medical College to diagnose scrub typhus by rapid Immunochromatographic test (ICT) as well as molecular detection of O. tsutsugamushi by Nested PCR and automated nucleotide sequencing among suspected febrile patients in Mymensingh, Bangladesh during 2019-20. Blood samples were collected from 402 febrile patients of suspected Rickettsial illness, referred from inpatient and outpatient departments of Medicine and Pediatrics, Mymensingh Medical College Hospital (MMCH). Among the enrolled 402 patients, 89 samples (22.13%) were seropositive by Immunochromatographic test (ICT) and 65 samples (16.16%) were positive for O. tsutsugamushi DNA by Nested PCR, targeting 47KDa gene. Therefore, 113/402 (28.10%) samples were positive for scrub typhus by PCR and/ or ICT. Highest number of patients was detected positive by nested PCR during the first 5-10 days of fever but only 2 cases were positive after 20 days. In case of ICT, highest positivity for only IgM (8.13%) and both antibodies (2.43%) were documented in first 5-10 days of fever, but IgG positivity was highest (41.66) in >20 days of fever. From 65 PCR positive samples, automated nucleotide sequencing was performed on 20 randomly selected samples and all were genetically confirmed to be O. tsutsugamushi.

Seropositivity of Human Brucellosis among Patients with Pyrexia of Unknown Origin on Both Risk and Non-Risk Group of Individuals and Molecular Detection by Real-time PCR

Brucellosis is a zoonotic disease that is one of the important infectious causes of Pyrexia of Unknown Origin (PUO). The objective of the present study was to determine the seropositivity and molecular detection of human brucellosis among the patients with pyrexia of unknown origin on both risk and non-risk group of individuals in greater Mymensingh. A total of 400 blood samples were randomly collected from pyretic patients started from September 2018 to August 2019. Questionnaires were used to collect data on both risk and non-risk group of individuals. All samples were initially screened for anti-Brucella antibodies using the Brucella-specific latex agglutination test. For accurate investigation, seropositive as well as seronegative serum samples were tested by BCSP31 Brucella genus-specific TaqMan real-time PCR. Overall 32(8%) cases were positive out of 400 samples by Brucella-specific latex agglutination test and/or BCSP31 Brucella genus-specific real-time PCR. Brucella-specific latex agglutination test documented 7% (28/400) positivity for brucellosis. 22(5.5%) samples found Brucella genus-specific real-time PCR positive out of 400 samples. Most real-time PCR positive cases were found from sero-positive samples of risk group population (15/32). Sero-negative but real-time PCR positive cases also found only from risk group population (4/32). There were 10 seropositive cases where real-time PCR was negative. In addition to Brucella-specific latex agglutination test as a screening test, Brucella genus-specific real-time PCR was performed for confirmation and also to avoid unjustified costs, drug toxicity, and masking of other potentially dangerous diseases.

Detection of Biocide Resistance Genes (qacE and qacΔE1) in Pseudomonas spp Isolated from Patients with CSOM at Mymensingh Medical College Hospital, Bangladesh

Biocides, including disinfectants and antiseptics, are used for a variety of topical and hard surface applications in health care facilities. Biocides play a significant role for preventing and controlling nosocomial infections. However, failures in the antimicrobial activities of biocides have been reported. The resistance mechanism to disinfectants is usually determined by genes which are related to resistance to quaternary ammonium compounds, namely, qacE, qacΔE1 that are found in Gram-negative bacteria. The aim of this study is to detect the prevalence of Biocides resistance genes, qacE and qacΔE1, in clinical isolates of Pseudomonas spp. It was carried out from March 2017 to July 2018 in the department of Microbiology, Mymensingh Medical College, Mymensingh, Bangladesh. Samples were collected from Outpatient of ENT department, MMCH. In this study, 300 clinical samples of CSOM cases were tested by the PCR method. The present study shows detection of biocide resistance genes (qacE, qacΔE1) among 87 isolated Pseudomonas spp by uniplex PCR. Among 72 clinical isolates of Pseudomonas aeruginosa 67(93.05%) had the gene qacEΔ1 and 25(34.72%) had the gene qacE. In addition other 15 Pseudomonas spp 3(20%) isolates had the qacEΔ1 gene and 2(13.33%) isolates had the qacE gene. In this study there is a marked difference in detection of the qacEΔ1 gene between the MDR and non MDR P. aeruginosa isolates. The qacEΔ1 was identified in 50 of 54(92.59%) MDR isolates and 7 of 18(38.89%) non MDR strains respectively. While gene qacE was detect 25(46.29%) MDR isolates and did not show any qacEΔ1gene in non MDR isolates. This study shows that the genes, qacE, qacΔE1 are widespread among Pseudomonas aeruginosa, they are higher in MDR strains than non MDR strains.

Biomechanical comparison of tenorrhaphy constructs for tendon reconstructions and transfers

With tendon transfers or reconstructions, the tenorrhaphy must be strong enough to withstand early mobilization in the immediate postoperative period to decrease adhesion formation and optimize functional outcomes. The purpose of this study was to compare the strength, bulk, and gliding resistance of four common tendon-to-tendon attachment constructs. A biomechanical study was performed utilizing 80 cadaveric tendons to compare four common tendon tenorrhaphy constructs: the end-weave (EW); Pulvertaft (PT); single-pass, side-to-side (SP-STS); and simple, side-to-side (STS) attachments. The primary outcome measures investigated included tenorrhaphy morphology, gliding resistance, tensile strength, and deformation at failure of the different constructs. A total of 40 tendon pairs, 10 per repair group, were constructed, biomechanically evaluated, and outcomes were compared. There were no significant differences in the cross-sectional area of the native tendon (p = 0.334) or repair site (p = 0.564) and no difference in the added bulk of the repair (p = 0.663) between the repair groups. Gliding resistance was not significantly different between the repair groups (p = 0.110). The SP-STS repair was significantly stronger (p < 0.001), stiffer (p < 0.001), and exhibited less displacement at peak load (p = 0.004), and greater force generation at 1 cm of displacement (p = 0.002) compared to the other constructs. The SP-STS is significantly stronger, without a significant difference in bulk and gliding resistance compared to the PT, EW, STS repairs. SP-STS can be utilized in tendon transfers and reconstructions to safely permit early active mobilization.

Emergence of universality in the transmission dynamics of COVID-19

The complexities involved in modelling the transmission dynamics of COVID-19 has been a roadblock in achieving predictability in the spread and containment of the disease. In addition to understanding the modes of transmission, the effectiveness of the mitigation methods also needs to be built into any effective model for making such predictions. We show that such complexities can be circumvented by appealing to scaling principles which lead to the emergence of universality in the transmission dynamics of the disease. The ensuing data collapse renders the transmission dynamics largely independent of geopolitical variations, the effectiveness of various mitigation strategies, population demographics, etc. We propose a simple two-parameter model-the Blue Sky model-and show that one class of transmission dynamics can be explained by a solution that lives at the edge of a blue sky bifurcation. In addition, the data collapse leads to an enhanced degree of predictability in the disease spread for several geographical scales which can also be realized in a model-independent manner as we show using a deep neural network. The methodology adopted in this work can potentially be applied to the transmission of other infectious diseases and new universality classes may be found. The predictability in transmission dynamics and the simplicity of our methodology can help in building policies for exit strategies and mitigation methods during a pandemic.

Prevalence of ESBL Encoding Genes in Acinetobacter baumannii Strains Isolated from Various Samples of a Tertiary Care Hospital in Mymensingh

The aim of this study was to find the prevalence of ESBL genes among A. baumannii isolates. In this cross sectional study, 49 Acinetobacter spp. were isolated from various clinical samples from March 2019 to February 2020 conducted in the department of Microbiology, Mymensingh Medical College, Mymensingh, Bangladesh. Clinical samples including endotracheal aspirates, wound swab/pus, urine and blood. A total of 380 samples were analyzed. Growth was obtained in 34.21% of the samples yielding 130 organisms. Out of 130 organisms, 49(37.69%) were Acinetobacter spp. Among 49 Acinetobacter spp, 39(79.59%) were Acinetobacter baumannii which was identified by PCR targeting OXA-51 like gene. Amplification of the ESBL encoding genes, namely CTX-M, TEM, SHV done by molecular technique PCR. The most antibacterial resistance was against ceftriaxone (79.48%) and lower resistance only showed in colistin (12.82%). All the isolates were sensitive to tigecycline. The distribution of ESBLs genes such as TEM 20(51.28%), CTX-M 16(41.02%) and SHV 0(0%). The high resistance to most of the antibiotics among the studied strains and also a high prevalence of TEM gene in A. baumannii strains found in our study gives alarming sign towards the treatment complexity of these strains.

CutLang v2: Advances in a Runtime-Interpreted Analysis Description Language for HEP Data

We will present the latest developments in CutLang, the runtime interpreter of a recently-developed analysis description language (ADL) for collider data analysis. ADL is a domain-specific, declarative language that describes the contents of an analysis in a standard and unambiguous way, independent of any computing framework. In ADL, analyses are written in human-readable plain text files, separating object, variable and event selection definitions in blocks, with a syntax that includes mathematical and logical operations, comparison and optimisation operators, reducers, four-vector algebra and commonly used functions. Adopting ADLs would bring numerous benefits to the LHC experimental and phenomenological communities, ranging from analysis preservation beyond the lifetimes of experiments or analysis software to facilitating the abstraction, design, visualization, validation, combination, reproduction, interpretation and overall communication of the analysis contents. Since their initial release, ADL and CutLang have been used for implementing and running numerous LHC analyses. In this process, the original syntax from CutLang v1 has been modified for better ADL compatibility, and the interpreter has been adapted to work with that syntax, resulting in the current release v2. Furthermore, CutLang has been enhanced to handle object combinatorics, to include tables and weights, to save events at any analysis stage, to benefit from multi-core/multi-CPU hardware among other improvements. In this contribution, these and other enhancements are discussed in details. In addition, real life examples from LHC analyses are presented together with a user manual.

PLEURAL ENDOMETRIOSIS: BLOODY PLEURAL EFFUSION IN A 28-YEAR-OLD FEMALE WITH PRIMARY INFERTILITY (CASE REPORT)

Background. Endometriosis is defined as presence of endometrial glands outside the uterine cavity and it most commonly involves the structures within the pelvic cavity. Thoracic endometriosis syndrome usually presents as pneumothorax, hemoptysis, hemothorax or pulmonary nodules. Endometriosis presenting as hemorrhagic pleural effusion is rarely reported. Objectives. The aim of the study was to describe pleural endometriosis presenting as hemorrhagic pleural effusion and to insist on the role of medical thoracoscopy in making the diagnosis with the help of a case report. Methods. A case report of pleural endometriosis as a non-resolving hemorrhagic pleural effusion is presented. Results. A 28-years old female on treatment for her primary infertility presented with non-resolving bloody pleural effusion and she was on empirical anti-tubercular drugs for the last four months. Medical thoracoscopy revealed flat brownish grey plaques over the diaphragmatic pleura and the histology of pleural tissue revealed pleural endometriosis. She was initiated on gonadotropin releasing hormone-leuprolide and there was some clinico-radiological improvement. Conclusions. Thoracic endometriosis should be considered as one of the differentials for pleural effusion in female patient especially on treatment for infertility. Medical thoracoscopy should be the investigation of choice for evaluating pleural effusions before initiating empirical treatments.

Investigating the Effects of Ogawa Master Drive AI Automated Massage on Blood Circulation and Sleep Quality

Sleep and stress-related disorders are increasingly becoming more prevalent among adult population. Massage therapy (MT) may assist in improving the peripheral circulation through mechanical manipulation of soft tissues and passively act upon reducing stress stimuli as well as induce relaxation and sleep. For the purpose of evaluating the efficacy of massage chair therapy (MCT), this study is divided into two parts. First, 15 participants (mean age = (21.00 ±2.00) years; body mass index (BMI) = (19.22 ±2.23)) were enrolled in a randomized controlled, cross-over, and single-blinded trial on pre- and post-treatment based sessions where skin blood flow (SBF) was measured. Except for the control mode (p > 0.05), all other mode-variants exhibit significantly increased SBF between pre-post sessions (p < 0.05). Furthermore, compared to the blood circulation and sweet dreams massage modes, deep tissue massage mode exhibited a significantly increase in SBF values (p < 0.05). In the second part of the study, 5 participants (age 24.00±3.00 years; weight 73.10±5.63 kg; height 178.28 ±10.08 cm; BMI 22.49 ±1.89) underwent MCT with only sweet dreams mode. Richards-Campbell Sleep Questionnaire and wrist actigraph were used to assess pre- and post-treatment sleep quality. After undergoing massage all subjects showed improvement in overall sleep quality. These results are suggestive that the automated MCT may potentially improve blood circulation and promote relaxation and sleep.

An automated approach to determine antibody endpoint titers for COVID-19 by an enzyme-linked immunosorbent assay

While a variety of therapeutic options continue to emerge for COVID-19 treatment, convalescent plasma (CP) has been used as a possible treatment option early in the pandemic. One of the most significant challenges with CP therapy, however, both when defining its efficacy and implementing its approach clinically, is accurately and efficiently characterizing an otherwise heterogenous therapeutic treatment. Given current limitations, our goal is to leverage a SARS antibody testing platform with a newly developed automated endpoint titer analysis program to rapidly define SARS-CoV-2 antibody levels in CP donors and hospitalized patients. A newly developed antibody detection platform was used to perform a serial dilution enzyme-linked immunosorbent assay (ELISA) for immunoglobulin (Ig)G, IgM, and IgA SARS-CoV-2 antibodies. Data were then analyzed using commercially available software, GraphPad Prism, or a newly developed program developed in Python called TiterScape, to analyze endpoint titers. Endpoint titer calculations and analysis times were then compared between the two analysis approaches. Serial dilution analysis of SARS-CoV-2 antibody levels revealed a high level of heterogeneity between individuals. Commercial platform analysis required significant time for manual data input and extrapolated endpoint titer values when the last serial dilution was above the endpoint cutoff, occasionally producing erroneously high results. By contrast, TiterScape processed 1008 samples for endpoint titer results in roughly 14 minutes compared with the 8 hours required for the commercial software program analysis. Equally important, results generated by TiterScape and Prism were highly similar, with differences averaging 1.26 ± 0.2 percent (mean ± SD). The pandemic has created unprecedented challenges when seeking to accurately test large numbers of individuals for SARS-CoV-2 antibody levels with a rapid turnaround time. ELISA platforms capable of serial dilution analysis coupled with a highly flexible software interface may provide a useful tool when seeking to define endpoint titers in a high-throughput manner. Immunohematology 2021;37:33-43. While a variety of therapeutic options continue to emerge for COVID-19 treatment, convalescent plasma (CP) has been used as a possible treatment option early in the pandemic. One of the most significant challenges with CP therapy, however, both when defining its efficacy and implementing its approach clinically, is accurately and efficiently characterizing an otherwise heterogenous therapeutic treatment. Given current limitations, our goal is to leverage a SARS antibody testing platform with a newly developed automated endpoint titer analysis program to rapidly define SARS-CoV-2 antibody levels in CP donors and hospitalized patients. A newly developed antibody detection platform was used to perform a serial dilution enzyme-linked immunosorbent assay (ELISA) for immunoglobulin (Ig)G, IgM, and IgA SARS-CoV-2 antibodies. Data were then analyzed using commercially available software, GraphPad Prism, or a newly developed program developed in Python called TiterScape, to analyze endpoint titers. Endpoint titer calculations and analysis times were then compared between the two analysis approaches. Serial dilution analysis of SARS-CoV-2 antibody levels revealed a high level of heterogeneity between individuals. Commercial platform analysis required significant time for manual data input and extrapolated endpoint titer values when the last serial dilution was above the endpoint cutoff, occasionally producing erroneously high results. By contrast, TiterScape processed 1008 samples for endpoint titer results in roughly 14 minutes compared with the 8 hours required for the commercial software program analysis. Equally important, results generated by TiterScape and Prism were highly similar, with differences averaging 1.26 ± 0.2 percent (mean ± SD). The pandemic has created unprecedented challenges when seeking to accurately test large numbers of individuals for SARS-CoV-2 antibody levels with a rapid turnaround time. ELISA platforms capable of serial dilution analysis coupled with a highly flexible software interface may provide a useful tool when seeking to define endpoint titers in a high-throughput manner. Immunohematology 2021;37:33–43.

COVID-19 pandemic models revisited with a new proposal: Plenty of epidemiological models outcast the simple population dynamics solution

We have put an effort to estimate the number of publications related to the modelling aspect of the corona pandemic through the web search with the corona associated keywords. The survey reveals that plenty of epidemiological models outcast the simple population dynamics solution. Most of the future predictions based on these epidemiological models are highly unreliable because of the complexity of the dynamical equations and the poor knowledge of realistic values of the model parameters. The incidence time series of top ten corona infected countries are erratic and sparse. But in comparison, the incidence and disease fitness relationships are uniform and concave upward in nature. These simple profiles with the acceleration curves have fundamental implications in understanding the instinctive dynamics of the corona pandemic. We propose a simple population dynamics solution based on the incidence-fitness relationship in predicting that a plateau or steady state of SARS-CoV-2 will be reached using the basic concept of geometry.

Combined systemic inflammation score (SIS) correlates with prognosis in patients with advanced pancreatic cancer receiving palliative chemotherapy

PURPOSE

The prognosis of patients with advanced pancreatic ductal adenocarcinoma (PDAC) remains dismal. New cytotoxic agents such as nab-paclitaxel and liposomal irinotecan (nal-Iri) have extended the armamentarium of therapeutic options in the last years. Nowadays, sequential therapeutic strategies with moderately toxic chemotherapeutic protocols can be administered to the patients. However, prognostic and predictive biomarkers are still missing to identify those patients, which profit most from a "continuum of care" concept rather than receiving intensive first-line protocols such as FOLFIRINOX. To this end, we retrospectively evaluated the impact of the systemic inflammation as one essential hallmark of cancer in patients with advanced PDAC treated with sequential systemic.

METHODS

A cohort of 193 PDAC patients treated at our center from January 2005 to August 2011 were retrospectively evaluated for the following systemic inflammatory response (SIR) markers: neutrophil-lymphocyte ratio (NLR), lymphocyte-monocyte ratio (LMR) C-reactive protein (CRP), and the modified Glasgow Prognostic Score (mGPS). SIR markers were correlated with clinico-pathological findings, response to chemotherapy and overall survival (OS) using Kaplan-Meier curves and Cox proportional models.

RESULTS

All evaluated SIR markers were significantly associated with OS in patients with metastatic disease but not in patients with locally advanced PDAC. Interestingly, all SIR markers were only prognostic in patients not receiving antibiotics as surrogate marker for systemic bacterial infections. Based on the evaluated SIR markers, we propose a new Systemic Inflammation Score (SIS), which significantly correlated with reduced OS (HR: 3.418 (1.802-6.488, p < 0.001)) and the likelihood of receiving further-line systemic therapies (p = 0.028).

CONCLUSION

Routinely assessed SIR biomarkers have potential to support therapeutic decision making in patients with metastatic PDAC.

Automated contact tracing: a game of big numbers in the time of COVID-19

One of the more widely advocated solutions for slowing down the spread of COVID-19 has been automated contact tracing. Since proximity data can be collected by personal mobile devices, the natural proposal has been to use this for automated contact tracing providing a major gain over a manual implementation. In this work, we study the characteristics of voluntary and automated contact tracing and its effectiveness for mapping the spread of a pandemic due to the spread of SARS-CoV-2. We highlight the infrastructure and social structures required for automated contact tracing to work. We display the vulnerabilities of the strategy to inadequate sampling of the population, which results in the inability to sufficiently determine significant contact with infected individuals. Of crucial importance will be the participation of a significant fraction of the population for which we derive a minimum threshold. We conclude that relying largely on automated contact tracing without population-wide participation to contain the spread of the SARS-CoV-2 pandemic can be counterproductive and allow the pandemic to spread unchecked. The simultaneous implementation of various mitigation methods along with automated contact tracing is necessary for reaching an optimal solution to contain the pandemic.

Expression and functional role of IGFs during early pregnancy in placenta of water buffalo

Adequate vascularisation is a key factor for successful fetal development. We hypothesized that Insulin-Like Growth Factor (IGF) family members regulate angiogenesis along with promoting fetal development and growth. In this experiment, we determined the expression and functional role of IGF family in placental compartments (caruncle; CAR, cotyledon; COT) during different stages of early pregnancy in the water buffalo (Bubalus bubalis). Samples were collected from early pregnancy 1 (EP1, 28-45 days), early pregnancy 2 (EP2, 45-90 days), and third stage of estrous cycle (11-16 days), which was taken as control. In addition, the role of IGF1 on mRNA expression of vWF, StAR, CYP11A1, 3βHSD, PCNA, and BAX were elucidated in cultured trophoblast cells (TCC) obtained from EP2. Quantitative real-time PCR (q-PCR), westernblot, and immunohistochemistry were done to investigate the gene expression, protein expression, and localization of examined factors, and RIA was also done to assess progesterone (P₄) concentration. Expression of IGFs, its receptors and binding proteins were found to be significantly higher (p < 0.05) in both CAR and COT as compared to control during early pregnancy, except binding proteins IGFBP1, 3 and 4 which were significantly (p < 0.05) downregulated in COT with advancement of pregnancy. mRNA expression was consistent with the findings of immunoblotting and immunolocalization experiments. Trophoblasts cell culture (TCC) study showed a significant time and dose-dependent effect of IGF1 onsteroidogenic transcript, which was found to be maximum at 100 ng/ml that paralleled with P₄ accretion in the media (p < 0.05). Further, IGF1 upregulated the transcripts of vWF, PCNA, and downregulated BAX at the same concentration (p < 0.05). Overall, our results demonstrated that the expression of IGFs is a site-specific phenomenon in placentome, which indicates autocrine/paracrine and endocrine function. Our in-vitro finding support that IGF1 plays a critical role in placental development by promoting angiogenesis, steroid synthesis, and cell proliferation during early pregnancy.

Consensus on definition and severity grading of lymphatic complications after kidney transplantation

BACKGROUND

The incidence of lymphatic complications after kidney transplantation varies considerably in the literature. This is partly because a universally accepted definition has not been established. This study aimed to propose an acceptable definition and severity grading system for lymphatic complications based on their management strategy.

METHODS

Relevant literature published in MEDLINE and Web of Science was searched systematically. A consensus for definition and a severity grading was then sought between 20 high-volume transplant centres.

RESULTS

Lymphorrhoea/lymphocele was defined in 32 of 87 included studies. Sixty-three articles explained how lymphatic complications were managed, but none graded their severity. The proposed definition of lymphorrhoea was leakage of more than 50 ml fluid (not urine, blood or pus) per day from the drain, or the drain site after removal of the drain, for more than 1 week after kidney transplantation. The proposed definition of lymphocele was a fluid collection of any size near to the transplanted kidney, after urinoma, haematoma and abscess have been excluded. Grade A lymphatic complications have a minor and/or non-invasive impact on the clinical management of the patient; grade B complications require non-surgical intervention; and grade C complications require invasive surgical intervention.

CONCLUSION

A clear definition and severity grading for lymphatic complications after kidney transplantation was agreed. The proposed definitions should allow better comparisons between studies.

Expression and functional role of fibroblast growth factors (FGF) in placenta during different stages of pregnancy in water buffalo (Bubalus bubalis)

The present study documented the expression and functional role of Fibroblast growth factors (FGFs) family and their receptors (Fibroblast growth factor receptor, FGFRs) in placenta (Cotyledon; COT, Caruncle; CAR) during different stages of pregnancy in water buffalo. Samples were collected from Early pregnancy 1 (EP1); Early pregnancy 2 (EP2); Mid pregnancy (MP) and Late pregnancy (LP) while diestrus stage of oestrus cycle (NP) was taken as control. In addition, modulatory role of FGF2 on mRNA expression of von Willebrand factor (vWF), Proliferating cell nuclear antigen (PCNA), steroidogenic acute regulatory protein (StAR), cytochrome P450 cholesterol side-chain cleavage (CYP11A1), 3β-hydroxysteroid dehydrogenase (3βHSD) and BCL2 Associated X (BAX) were studied in cultured trophoblast cells (TCC), obtained from EP2. Real-time PCR (qPCR), Western blot, and immunohistochemistry were applied to investigate mRNA and protein expressions, and the localization of examined factors whereas, P4 secretion was assessed by RIA. The mRNA and protein expression of FGFs and its receptors were maximum (P < 0.05) during EP (EP1 and EP2) in COT. However, FGFR1 and FGFR4 were upregulated (P < 0.05) during EP2 and MP in COT. Similarly, the mRNA and protein expression of FGFs and its receptors were upregulated (P < 0.05) during all stages of pregnancy in CAR. FGF family members were localized in the cytoplasm of trophoblast cells as well as in fetal blood vessels. At 100 ng/ml dosage, FGF2 stimulated the transcript of vWF maximally (P < 0.05). P4 secretion in trophoblast cells treated with FGF2 was maximum with the highest dose at 72 h. These findings corroborate that FGF acts locally in the trophoblast cells to modulate steroid hormone viz. progesterone synthesis, promote angiogenesis and favors cell survivability indicating that this factor may play an essential role in the regulation of placental formation and function in buffalo.