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Nevin Manimala Statistics

Differential gene expression of ADAMTS-1, ADAMTS-9 and TIMP-3 in periodontitis

Biotech Histochem. 2022 Sep 12:1-6. doi: 10.1080/10520295.2022.2121857. Online ahead of print.

ABSTRACT

A disintegrin and metalloproteinase with thrombospondin motifs (ADAMTS) are metalloproteinases that bind to components of the extracellular matrix (ECM) to regulate tissue remodeling and homeostasis. ADAMTS can be inhibited by tissue inhibitors of metalloproteinases (TIMPs). Expression of ADAMTS increases under inflammatory conditions. We investigated the mRNA expression of ADAMTS-1, ADAMTS-9 and TIMP-3 genes in both healthy gingival tissues and periodontitis. Clinical periodontal measurements were conducted and gingival biopsies were obtained from stage IIIgrade C generalized periodontitis and healthy (control) groups. mRNA expression was evaluated using real-time quantitative polymerase chain reaction (RTqPCR). All clinical periodontal parameters were significantly higher in the periodontitis group than for the control group. ADAMTS-1 levels were significantly higher in the periodontitis group and were significantly correlated with clinical attachment level and probing pocket depth. Differences in ADAMTS-9 and TIMP-3 mRNA in the periodontitis group compared to the control group were not statistically significant. Increased ADAMTS-1 mRNA expression in periodontitis indicates that members of the ADAMTS family of metalloproteinases are associated with pathogenesis and progression of periodontal disease. Maintaining balance between ADAMTS and TIMP is important for limiting ECM catabolism and preventing tissue damage.

PMID:36093887 | DOI:10.1080/10520295.2022.2121857

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Nevin Manimala Statistics

Use of antiepileptic drugs by trimester

J Matern Fetal Neonatal Med. 2022 Sep 11:1-4. doi: 10.1080/14767058.2022.2122039. Online ahead of print.

ABSTRACT

OBJECTIVE: To determine which antiepileptic drugs pregnant women receive by trimester.

METHODS: This retrospective cohort study using the IBM Watson Health MarketScan Research Databases evaluated which antiepileptic drugs pregnant women with epilepsy received by trimester. Women with aged 15-54 years with a history of seizure disorder who underwent a delivery hospitalization between 2008 and 2017 were included in the analysis. Descriptive statistics were performed.

RESULTS: Of 34,144 women with a seizure disorder diagnosis and a delivery hospitalization, 10,289 (30.1%) received an anti-epileptic medication during pregnancy of which more than half received lamotrigine or levetiracetam. Other antiepileptic medications used by >5% of the population during any one trimester in the study period included carbamazepine, clonazepam, and topiramate. In evaluating medication use in the 1st trimester versus the 2nd trimester, clonazepam use decreased 32.0% (95% CI 60.0%, 77.0%) from 5.6% to 3.8% of patients receiving antiepileptics from the 1st to the 2nd trimester, gabapentin deceased 22.1% (95% CI 0.68%, 0.90%) from 4.1% to 3.2%, and topiramate decreased 30.0% (95% CI 62.8%, 77.9%) from 7.2% to 5.1%. In comparison, levetiracetam increased from 22.5% to 33.3% between the 1st and 3rd trimester and lamotrigine 22.2% to 27.5% between the 1st and 3rd trimester, 48.3% and 24.0% increases respectively.

CONCLUSION: Antiepileptic drugs with less favorable fetal risk profiles such as topiramate decreased by trimester while medications with more favorable fetal risk profiles such as lamotrigine and levetiracetam increased. These findings broadly support that there are opportunities to improve pre-conceptional counseling of women with epilepsy.

PMID:36093852 | DOI:10.1080/14767058.2022.2122039

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Nevin Manimala Statistics

Aspartate aminotransferase to platelet ratio index (APRI) score: is it useful in patients with intrahepatic cholestasis of pregnancy?

J Matern Fetal Neonatal Med. 2022 Sep 11:1-6. doi: 10.1080/14767058.2022.2122036. Online ahead of print.

ABSTRACT

OBJECTIVE: It is aimed to evaluate the efficacy of using aspartate aminotransferase (AST)/platelet count ratio [AST to platelet ratio index (APRI) score] in ICP patients.

METHODS: This study was carried out including 101 patients diagnosed with ICP (72 patients with mild ICP and 29 patients with severe ICP). Laboratory tests and neonatal outcomes of both groups were analyzed retrospectively. APRI scores were compared between the two groups. Receiver operating characteristic (ROC) analysis was used to evaluate the performance of the APRI score in determining the severity of ICP and the prediction of adverse neonatal outcomes. p < .05 was considered to be a statistically significant result.

RESULTS: Patients with severe ICP had higher APRI scores than patients with mild ICP (p < .001). The cutoff value for the APRI score was 1.06, with 82% sensitivity and 72% specificity. There was also a significant positive association between APRI score and fasting bile acid level (r = 0.445, p < .001). In addition, elevated APRI scores were associated with meconium-stained amniotic fluid, neonatal intensive care unit admission and preterm delivery.

CONCLUSION: The APRI score may not be the perfect differentiating method for the severity of ICP but it may help the clinician working with limited resources.

PMID:36093839 | DOI:10.1080/14767058.2022.2122036

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Nevin Manimala Statistics

Maintaining Prehospital Intubation Success with COVID-19 Personal Protective Precautions

Prehosp Disaster Med. 2022 Sep 12:1-18. doi: 10.1017/S1049023X22001273. Online ahead of print.

ABSTRACT

BACKGROUND: Tracheal intubation is a high-risk intervention for exposure to airborne infective pathogens, including the novel coronavirus disease 2019 (COVID-19). During the recent pandemic, personal protective equipment (PPE) was essential to protect staff during intubation but is recognized to make the practical conduct of anesthesia and intubation more difficult. In the early phase of the coronavirus pandemic, some simple alterations were made to the emergency anesthesia standard operating procedure (SOP) of a prehospital critical care service to attempt to maintain high intubation success rates despite the challenges posed by wearing PPE. This retrospective observational cohort study aims to compare first-pass intubation success rates before and after the introduction of PPE and an altered SOP.

METHODOLOGY: A retrospective observational cohort study was conducted from January 1, 2019 through August 30, 2021. The retrospective analysis used prospectively collected data using prehospital electronic patient records. Anonymized data were held in Excel (v16.54) and analyzed using IBM SPSS Statistics (v28). Patient inclusion criteria were those of all ages who received a primary tracheal intubation attempt outside the hospital by critical care teams. March 27, 2020 was the date from which the SOP changed to mandatory COVID-19 SOP including Level 3 PPE – this date is used to separate the cohort groups.

RESULTS: Data were analyzed from 1,266 patients who received primary intubations by the service. The overall first-pass intubation success rate was 89.7% and the overall intubation success rate was 99.9%. There was no statistically significant difference in first-pass success rate between the two groups: 90.3% in the pre-COVID-19 group (n = 546) and 89.3% in the COVID-19 group (n = 720); Pearson chi-square 0.329; P = .566. In addition, there was no statistical difference in overall intubation success rate between groups: 99.8% in the pre-COVID-19 group and 100.0% in the COVID-19 group; Pearson chi-square 1.32; P = .251.Non-drug-assisted intubations were more than twice as likely to require multiple attempts in both the pre-COVID-19 group (n = 546; OR = 2.15; 95% CI, 1.19-3.90; P = .01) and in the COVID-19 group (n = 720; OR = 2.5; 95% CI, 1.5-4.1; P = <.001).

CONCLUSION: This study presents simple changes to a prehospital intubation SOP in response to COVID-19 which included mandatory use of PPE, the first intubator always being the most experienced clinician, and routine first use of video laryngoscopy (VL). These changes allowed protection of the clinical team while successfully maintaining the first-pass and overall success rates for prehospital tracheal intubation.

PMID:36093838 | DOI:10.1017/S1049023X22001273

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Nevin Manimala Statistics

Patient safety in medical education: Tunisian students’ attitudes

Libyan J Med. 2022 Dec;17(1):2122159. doi: 10.1080/19932820.2022.2122159.

ABSTRACT

Health care delivery continues to be unsafe despite major patient safety (PS) improvement efforts over the past decade. Medical school education plays an important role in promoting this culture during initial training. To determine undergraduate medical students’ attitudes toward PS at a Tunisian medical school. We carried out a cross-sectional study among undergraduate medical students at Ibn Al Jazzar Medical School in Sousse, Tunisia, using a self-administered questionnaire inspired from the valid tool: Attitudes to Patient Safety Questionnaire (APSQ III). A total of 178 medical students responded to the questionnaire. Medical students tend to have an overall positive perceptions of PS culture with a global mean score 5.33 ± 0.5. Among the individual domains ‘Working hours as a cause of error’ earned the highest score (6.38 ± 1.0) followed in order by ‘Team functioning’ (6.24 ± 0.8), ‘Error inevitability’ (5.91 ± 1.0) and ‘Patient involvement in reducing error’ (5.50 ± 1.0). The lowest score was for ‘Professional incompetence as a cause of error’ (4.01 ± 1.0). A PS domain’s mean scores comparison based on socio-demographic variables: gender, age, academic year and on PS training revealed a statistically significant difference (p < 0.05) for five PS key dimensions: ‘ Error reporting confidence ‘, ‘ Working hours as a cause of error ‘, ‘ Professional incompetence as a cause of error ‘, ‘ Team functioning ‘ and ‘PS training received’. Tunisian medical students showed positive attitude towards PS. Nevermore, intensive in terms of frequency and duration sessions, based on various teaching methods may be needed to fulfill students’ educational needs.

PMID:36093793 | DOI:10.1080/19932820.2022.2122159

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Nevin Manimala Statistics

The impact of the COVID-19 pandemic on pharmacy personnel in primary care

Prim Health Care Res Dev. 2022 Sep 12;23:e56. doi: 10.1017/S1463423622000445.

ABSTRACT

INTRODUCTION: The coronavirus (COVID-19) pandemic has impacted healthcare worldwide. It has altered service delivery and posed challenges to practitioners in relation to workload, well-being and support. Within primary care, changes in physicians’ activities have been identified and innovative work solutions implemented. However, evidence is lacking regarding the impact of the pandemic on pharmacy personnel who work in primary care.

AIM: To explore the impact of the pandemic on the working practice (including the type of services provided) and job satisfaction of pharmacists and pharmacy technicians within Scottish general practice. Due to the stressful nature of the pandemic, we hypothesise that job satisfaction will have been negatively affected.

METHODS: An online questionnaire was distributed in May-July 2021, approximately 15 months since initial lockdown measures in the UK. The questionnaire was informed by previous literature and underwent expert review and piloting. Analysis involved descriptive statistics, non-parametric statistical tests and thematic analysis.

RESULTS: 180 participants responded (approximated 16.1% response rate): 134 pharmacists (74.4%) and 46 technicians (25.6%). Responses indicated greater involvement with administrative tasks and a reduction in the provision of clinical services, which was negatively perceived by pharmacists. There was an increase in remote working, although most participants continued to have a physical presence within general practices. Face-to-face interactions with patients reduced, which was negatively perceived by participants, and telephone consults were considered efficient yet less effective. Professional development activities were challenged by increased workloads and reduced support available. Although workplace stress was apparent, there was no indication of widespread job dissatisfaction.

CONCLUSION: The pandemic has impacted pharmacists and technicians, but it is unknown if changes will be permanent, and there is a need to understand which changes should continue. Future research should explore the impact of altered service delivery, including remote working, on patient care.

PMID:36093791 | DOI:10.1017/S1463423622000445

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Nevin Manimala Statistics

A preliminary study in classification of the severity of spine deformation in adolescents with lumbar/thoracolumbar idiopathic scoliosis using machine learning algorithms based on lumbosacral joint efforts during gait

Comput Methods Biomech Biomed Engin. 2022 Sep 10:1-12. doi: 10.1080/10255842.2022.2117547. Online ahead of print.

ABSTRACT

To assess the severity and progression of adolescents with idiopathic scoliosis (AIS), radiography with X-rays is usually used. The methods based on statistical observations have been developed from 3D reconstruction of the trunk or topography. Machine learning has shown great potential to classify the severity of scoliosis on imaging data, generally on X-ray measurements. It is also known that AIS leads to the development of gait disorder. To our knowledge, machine learning has never been tested on spine intervertebral efforts during gait as a radiation-free method to classify the severity of spinal deformity in AIS. Develop automated machine learning algorithms in lumbar/thoracolumbar scoliosis to classify the severity of spinal deformity of AIS based on the lumbosacral joint (L5-S1) efforts during gait. The lumbosacral joint efforts of 30 individuals with lumbar/thoracolumbar AIS were used as distinctive features fed to the machine learning algorithms. Several tests were run using various classification algorithms. The labeling consisted of three classes reflecting the severity of scoliosis i.e. mild, moderate and severe. The ensemble classifier algorithm including k-nearest neighbors, support vector machine, random forest and multilayer perceptron achieved the most promising results, with accuracy scores of 91.4%. This preliminary study shows lumbosacral joint efforts can be used to classify the severity of spinal deformity in lumbar/thoracolumbar AIS. This method showed the potential of being used as an assessment tool to follow-up the progression of AIS as a radiation-free method, alternative to radiography. Future studies should be performed to test the method on other categories of AIS.

PMID:36093771 | DOI:10.1080/10255842.2022.2117547

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Study on the use of bovine blood protein hydrolysate as a peptone in microbial culture media

Prep Biochem Biotechnol. 2022 Sep 10:1-12. doi: 10.1080/10826068.2022.2119577. Online ahead of print.

ABSTRACT

Livestock blood is a protein-rich waste byproduct produced during meat production processes in slaughterhouses. Its utilization through conversion into value-added products is an intriguing management strategy. In this study, bovine blood was used to obtain the protein hydrolysate for use as a peptone for microbial growth medium. Lyophilized bovine blood was heat treated to make it susceptible to enzymic hydrolysis, and then enzymatically treated with trypsin (bovine pancreas protease) to produce protein hydrolysate. Physico-chemical features were determined for protein hydrolysate and compared to commercial Merck peptone from meat. Amino acid compositions of bovine blood and commercial peptones were subjected to multivariate analysis based on Euclidean similarity matrix using software PAST. Strains of Staphylococcus aureus 25,923, Pseudomonas aeruginosa 27,853, Staphylococcus aureus 6538 P, Enterococcus faecalis 11,700, Escherichia coli 8739, Klebsiella pneumoniae 13,883, Salmonella typhimurium 14,028 and Listeria monocytogenes 13,932 were used as test microbial strains. Growth of bacteria in culture media based on the peptone from bovine protein hydrolysate was compared to that in corresponding reference media based on commercial peptone. The results of these growth tests were comparable. Growth data were depicted and statistically analyzed using R packages ggplot2 and growthcurver, respectively, providing data fitting a standard form of logistic equation.

PMID:36093752 | DOI:10.1080/10826068.2022.2119577

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Nevin Manimala Statistics

Novel and existing flexible survival methods for network meta-analyses

J Comp Eff Res. 2022 Sep 12. doi: 10.2217/cer-2022-0044. Online ahead of print.

ABSTRACT

Aim: Technical Support Document 21 discusses trial-based, flexible relative survival models. The authors generalized flexible relative survival models to the network meta-analysis (NMA) setting while accounting for different treatment-effect specifications. Methods: The authors compared the standard parametric model with mixture, mixture cure and nonmixture cure, piecewise, splines and fractional polynomial models. The optimal treatment-effect parametrization was defined in two steps. First, all models were run with treatment effects on all parameters and subsequently the optimal model was defined by removing uncertain treatment effects, for which the parameter was smaller than its standard deviation. The authors used a network in previously treated advanced non-small-cell lung cancer. Results: Flexible model-based NMAs impact fit and incremental mean survival and they increase corresponding uncertainty. Treatment-effect specification impacts incremental survival, reduces uncertainty and improves the fit statistic. Conclusion: Extrapolation techniques already available for individual trials can now be used for NMAs to ensure that the most plausible extrapolations are being used for health technology assessment submissions.

PMID:36093741 | DOI:10.2217/cer-2022-0044

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Nevin Manimala Statistics

A study of changes in the heat capacity of carbon nanotube-based ionanofluids prepared from a series of imidazolium ionic liquids

Phys Chem Chem Phys. 2022 Sep 12. doi: 10.1039/d2cp02110b. Online ahead of print.

ABSTRACT

Ionanofluids (INFs), nanoparticles dispersed into a base fluid, e.g. an ionic liquid, are a novel class of alternative heat transfer fluids. Addition of nanoparticles to a base ionic liquid is the prime reason for an enhancement in the thermophysical properties of ionanofluids. However, due to very limited research on ionanofluids, further studies are required to understand changes in the isobaric heat capacity of ionanofluids as a function of size of cations of the base ionic liquid structure and concentration of nanoparticles. Herein, isobaric heat capacity was measured as a function of temperature for the prepared ionanofluid samples from a series of imidazolium ionic liquids and multi walled carbon nanotubes (MWCNTs). Moreover, the influence of the size of cations on the isobaric heat capacity enhancement mechanism and the stability of ionanofluid samples was studied. Furthermore, experimental isobaric heat capacity data were assessed by a novel non-statistical data analysis method named mathematical gnostics (MG). MG marginal analysis was used to evaluate the most probable values from the measured data set. A robust linear regression along a gnostic influence function was also used to find the best fit to correlate the measured data.

PMID:36093723 | DOI:10.1039/d2cp02110b