Label-free detection of kidney stones urine combined with SERS and multivariate statistical algorithm.

Kidney stones are a common urological disease with an increasing incidence worldwide. Traditional diagnostic methods for kidney stones are relatively complex and time-consuming, thus necessitating the development of a quicker and simpler diagnostic approach. This study investigates the clinical screening of kidney stones using Surface-Enhanced Raman Scattering (SERS) technology combined with multivariate statistical algorithms, comparing the classification performance of three algorithms (PCA-LDA, PCA-LR, PCA-SVM). Urine samples from 32 kidney stone patients, 30 patients with other urinary stones, and 36 healthy individuals were analyzed. SERS spectra data were collected in the range of 450-1800 cm-1 and analyzed. The results showed that the PCA-SVM algorithm had the highest classification accuracy, with 92.9 % for distinguishing kidney stone patients from healthy individuals and 92 % for distinguishing kidney stone patients from those with other urinary stones. In comparison, the classification accuracy of PCA-LR and PCA-LDA was slightly lower. The findings indicate that SERS combined with PCA-SVM demonstrates excellent performance in the clinical screening of kidney stones and has potential for practical clinical application. Future research can further optimize SERS technology and algorithms to enhance their stability and accuracy, and expand the sample size to verify their applicability across different populations. Overall, this study provides a new method for the rapid diagnosis of kidney stones, which is expected to play an important role in clinical diagnostics.

Accuracy study of Angiotensin 1-7 composite index test to predict pulmonary fibrosis and guide treatment.

BACKGROUND: Pulmonary fibrosis can develop after acute respiratory distress syndrome (ARDS). The hypothesis is we are able to measure phenotypes that lie at the origin of ARDS severity and fibrosis development. The aim is an accuracy study of prognostic circulating biomarkers. METHODS: A longitudinal study followed COVID-related ARDS patients with medical imaging, pulmonary function tests and biomarker analysis, generating 444 laboratory data. Comparison to controls used non-parametrical statistics; p < 0·05 was considered significant. Cut-offs were obtained through receiver operating curve. Contingency tables revealed predictive values. Odds ratio was calculated through logistic regression. RESULTS: Angiotensin 1-7 beneath 138 pg/mL defined Angiotensin imbalance phenotype. Hyper-inflammatory phenotype showed a composite index test above 34, based on high Angiotensin 1-7, C-Reactive Protein, Ferritin and Transforming Growth Factor-ß. Analytical study showed conformity to predefined goals. Clinical performance gave a positive predictive value of 95 % (95 % confidence interval, 82 %-99 %), and a negative predictive value of 100 % (95 % confidence interval, 65 %-100 %). Those severe ARDS phenotypes represented 34 (Odds 95 % confidence interval, 3-355) times higher risk for pulmonary fibrosis development (p < 0·001). CONCLUSIONS: Angiotensin 1-7 composite index is an early and objective predictor of ARDS evolving to pulmonary fibrosis. It may guide therapeutic decisions in targeted phenotypes.

Emergency department clinical performance of ADVIA Centaur n-terminal prohormone of B-type natriuretic peptide assay.

BACKGROUND: Natriuretic peptide testing is guideline recommended as an aid to the diagnosis of heart failure (HF). We sought to evaluate the performance of the ADVIA Centaur (Siemens Healthcare Diagnostics, Tarrytown, NY) NT-proBNPII assay (PBNPII) in emergency department (ED) dyspneic patients. METHODS: Eligible patients presented to the ED with dyspnea, with their gold standard diagnosis determined by up to 3 cardiologists blinded to the PBNPII results. Patients were stratified into 3 groups based on PBNPII resultsa rule out group of NT-proBNP<300  pg/mL, an age-specific rule in group using cutoffs of 450, 900, and 1800 pg/mL, for <50, 50-75, and > 75 years respectively, and an intermediate cohort for results between the rule out and rule in groups. RESULTS: Of 3128 eligible patients, 1148 (36.7 %) were adjudicated as acute heart failure (AHF). The gold standard AHF diagnosis rate was 3.7, 24.3, and 67.2 % for patients with NTproBNPII in the negative, indeterminate, and positive groups, respectively. Overall likelihood ratios (LR) were 0.07 (95 % CI: 0.05,0.09), 0.55 (0.45,0.67), and 3.53 (3.26,3.83) for the same groups, respectively. Individual LR+for age dependent cutoffs were 5.01 (4.25,5.91), 3.71 (3.25,4.24), and 2.38 (2.10,2.69), respectively. NTproBNPII increased with increasing severity of HF when stratified by NYHA classification. CONCLUSIONS: The ADVIA Centaur PBNPII assay demonstrates acceptable clinical performance using the recommended single rule out and age dependent rule in cutoffs for an AHF diagnosis in dyspneic ED patients.

Roles of serum uric acid on the association between arsenic exposure and incident metabolic syndrome in an older Chinese population.

Growing evidences showed that heavy metals exposure may be associated with metabolic diseases. Nevertheless, the mechanism underlying arsenic (As) exposure and metabolic syndrome (MetS) risk has not been fully elucidated. So we aimed to prospectively investigate the role of serum uric acid (SUA) on the association between blood As exposure and incident MetS. A sample of 1045 older participants in a community in China was analyzed. We determined As at baseline and SUA concentration at follow-up in the Yiwu Elderly Cohort. MetS events were defined according to the criteria of the International Diabetes Federation (IDF). Generalized linear model with log-binominal regression model was applied to estimate the association of As with incident MetS. To investigate the role of SUA in the association between As and MetS, a mediation analysis was conducted. In the fully adjusted log-binominal model, per interquartile range increment of As, the risk of MetS increased 1.25-fold. Compared with the lowest quartile of As, the adjusted relative risk (RR) of MetS in the highest quartile was 1.42 (95% confidence interval, CI: 1.03, 2.00). Additionally, blood As was positively associated with SUA, while SUA had significant association with MetS risk. Further mediation analysis demonstrated that the association of As and MetS risk was mediated by SUA, with the proportion of 15.7%. Our study found higher As was remarkably associated with the elevated risk of MetS in the Chinese older adults population. Mediation analysis indicated that SUA might be a mediator in the association between As exposure and MetS.

Arsenic exposure and oxidative damage to lipid, DNA, and protein among general Chinese adults: A repeated-measures cross-sectional and longitudinal study.

Arsenic-related oxidative stress and resultant diseases have attracted global concern, while longitudinal studies are scarce. To assess the relationship between arsenic exposure and systemic oxidative damage, we performed two repeated measures among 5236 observations (4067 participants) in the Wuhan-Zhuhai cohort at the baseline and follow-up after 3 years. Urinary total arsenic, biomarkers of DNA oxidative damage (8-hydroxy-2'-deoxyguanosine (8-OHdG)), lipid peroxidation (8-isoprostaglandin F2alpha (8-isoPGF2α)), and protein oxidative damage (protein carbonyls (PCO)) were detected for all observations. Here we used linear mixed models to estimate the cross-sectional and longitudinal associations between arsenic exposure and oxidative damage. Exposure-response curves were constructed by utilizing the generalized additive mixed models with thin plate regressions. After adjusting for potential confounders, arsenic level was significantly and positively related to the levels of global oxidative damage and their annual increased rates in dose-response manners. In cross-sectional analyses, each 1% increase in arsenic level was associated with a 0.406% (95% confidence interval (CI): 0.379% to 0.433%), 0.360% (0.301% to 0.420%), and 0.079% (0.055% to 0.103%) increase in 8-isoPGF2α, 8-OHdG, and PCO, respectively. More importantly, arsenic was further found to be associated with increased annual change rates of 8-isoPGF2α (ß: 0.147; 95% CI: 0.130 to 0.164), 8-OHdG (0.155; 0.118 to 0.192), and PCO (0.050; 0.035 to 0.064) in the longitudinal analyses. Our study suggested that arsenic exposure was not only positively related with global oxidative damage to lipid, DNA, and protein in cross-sectional analyses, but also associated with annual increased rates of these biomarkers in dose-dependent manners.

The association of isocarbophos and isofenphos with different types of glucose metabolism: The role of inflammatory cells.

To investigate the associations between isocarbophos and isofenphos with impaired fasting glucose (IFG) and type 2 diabetes mellitus (T2DM), and to assess the mediation roles of inflammation cells. There were 2701 participants in the case-control study, including 896 patients with T2DM, 900 patients with IFG, 905 subjects with NGT. Plasma isocarbophos and isofenphos concentrations were measured using gas chromatography and triple quadrupole tandem mass spectrometry. Generalized linear models were used to calculate the relationships between plasma isofenphos and isocarbophos levels with inflammatory factor levels and T2DM. Inflammatory cell was used as mediators to estimate the mediating effects on the above associations. Isocarbophos and isofenphos were positively related with T2DM after adjusting for other factors. The odds ratio (95% confidence interval) (OR (95%CI)) for T2DM was 1.041 (1.015, 1.068) and for IFG was 1.066 (1.009, 1.127) per unit rise in ln-isocarbophos. The prevalence of T2DM increased by 6.4% for every 1 unit more of ln-isofenphos (OR (95% CI): 1.064 (1.041, 1.087)). Additionally, a 100% rise in ln-isocarbophos was linked to 3.3% higher ln-HOMA2IR and a 0.029 mmol/L higher glycosylated hemoglobin (HbA1c) (95% CI: 0.007, 0.051). While a 100% rise in ln-isofenphos was linked to increase in ln-HOMA2 and ln-HOMA2IR of 5.8% and 3.4%, respectively. Furthermore, white blood cell (WBC) and neutrophilic (NE) were found to be mediators in the relationship between isocarbophos and T2DM, and the corresponding proportions were 17.12% and 17.67%, respectively. Isofenphos and isocarbophos are associated with IFG and T2DM in the rural Chinese population, WBC and NE have a significant role in this relationship.

Assessment of internal exposure risk from metals pollution of occupational and non-occupational populations around a non-ferrous metal smelting plant.

Non-ferrous metal smelting poses significant risks to public health. Specifically, the copper smelting process releases arsenic, a semi-volatile metalloid, which poses an emerging exposure risk to both workers and nearby residents. To comprehensively understand the internal exposure risks of metal(loid)s from copper smelting, we explored eighteen metal(loid)s and arsenic metabolites in the urine of both occupational and non-occupational populations using inductively coupled plasma mass spectrometry with high-performance liquid chromatography and compared their health risks. Results showed that zinc and copper (485.38 and 14.00 µg/L), and arsenic, lead, cadmium, vanadium, tin and antimony (46.80, 6.82, 2.17, 0.40, 0.44 and 0.23 µg/L, respectively) in workers (n=179) were significantly higher compared to controls (n=168), while Zinc, tin and antimony (412.10, 0.51 and 0.15 µg/L, respectively) of residents were significantly higher than controls. Additionally, workers had a higher monomethyl arsenic percentage (MMA%), showing lower arsenic methylation capacity. Source appointment analysis identified arsenic, lead, cadmium, antimony, tin and thallium as co-exposure metal(loid)s from copper smelting, positively relating to the age of workers. The hazard index (HI) of workers exceeded 1.0, while residents and control were approximately at 1.0. Besides, all three populations had accumulated cancer risks exceeding 1.0 × 10-4, and arsenite (AsIII) was the main contributor to the variation of workers and residents. Furthermore, residents living closer to the smelting plant had higher health risks. This study reveals arsenic exposure metabolites and multiple metals as emerging contaminants for copper smelting exposure populations, providing valuable insights for pollution control in non-ferrous metal smelting.

MRPL13 is a metastatic and prognostic marker of breast cancer: A silico analysis accompanied with experimental validation.

BACKGROUND: Although progress has been made in accurate diagnosis and targeted treatments, breast cancer (BC) patients with metastasis still present a grim prognosis. With the continuous emergence and development of new personalized and precision medicine targeting specific tumor biomarkers, there is an urgent need to find new metastatic and prognostic biomarkers for BC patients. METHODS: We were dedicated to identifying genes linked to metastasis and prognosis in breast cancer through a combination of in silico analysis and experimental validation. RESULTS: A total of 25 overlap differentially expressed genes were identified. Ten hub genes (namely MRPL13, CTR9, TCEB1, RPLP0, TIMM8B, METTL1, GOLT1B, PLK2, PARL and MANBA) were identified and confirmed. MRPL13, TCEB1 and GOLT1B were shown to be associated with the worse overall survival (OS) and were optionally chosen for further verification by western blot. Only MRPL13 was found associated with cell invasion, and the expression of MRPL13 in metastatic BC was significantly higher than in primary BC. CONCLUSION: We proposed MRPL13 could be a potential novel biomarker for the metastasis and prognosis of breast cancer.

Integrating pretest probability for rheumatoid arthritis with likelihood ratios of RF and ACPA to improve clinical utility of rheumatoid arthritis autoantibody testing.

BACKGROUND AND AIMS: Rheumatoid arthritis (RA) manifests through various symptoms and systemic manifestations. Diagnosis involves serological markers like rheumatoid factor (RF) and anti-citrullinated protein antibodies (ACPA). Past studies have shown the added value of likelihood ratios (LRs) in result interpretation. LRs can be combined with pretest probability to estimate posttest probability for RA. There is a lack of information on pretest probability. This study aimed to estimate pretest probabilities for RA. MATERIALS AND METHODS: This retrospective study included 133 consecutive RA patients and 651 consecutive disease controls presenting at a rheumatology outpatient clinic. Disease characteristics, risk factors associated with RA and laboratory parameters were documented for calculating pretest probabilities and LRs. RESULTS: Joint involvement, erosions, morning stiffness, and positive CRP, ESR tests significantly correlated with RA. Based on these factors, probabilities for RA were estimated. Besides, LRs for RA were established for RF and ACPA and combinations thereof. LRs increased with antibody levels and were highest for double high positivity. Posttest probabilities were estimated based on pretest probability and LR. CONCLUSION: By utilizing pretest probabilities for RA and LRs for RF and ACPA, posttest probabilities were estimated. Such approach enhances diagnostic accuracy, offering laboratory professionals and clinicians insights in the value of serological testing during the diagnostic process.

Copeptin associates with major adverse cardiovascular events in patients on maintenance hemodialysis.

BACKGROUND: End-stage renal disease (ESRD) necessitating hemodialysis pose substantial cardiovascular risks, with cardiovascular disease (CVD) as a leading cause of mortality. Biomarkers like copeptin have emerged as potential indicators of cardiovascular stress and prognosis in CKD populations. OBJECTIVE: This study aimed to assess the prognostic value of copeptin in predicting major adverse cardiovascular events (MACEs) among hemodialysis patients, alongside traditional cardiac biomarkers. METHODS: ESRD patients undergoing maintenance hemodialysis were enrolled. Copeptin levels were measured, and patients were followed for MACEs, defined as cardiovascular deaths, myocardial infarction, stroke, or heart failure-related hospitalizations. Cox proportional-hazards models were used to evaluate the association between copeptin and outcomes, adjusting for relevant covariates. RESULTS: Among 351 patients followed for a median of 22.7 months, elevated copeptin levels were significantly associated with an increased risk of MACEs (HR 1.519, 95 % CI 1.140 to 2.023; p = 0.00425). Copeptin demonstrated predictive capability across multiple statistical tests (Log-rank p = 0.024; Gehan p < 0.001; Tarone-Ware p < 0.001; Peto-Peto p = 0.027), although significance was attenuated in pairwise comparisons post-adjustment for multiple testing. Combining copeptin with NT-proBNP or hs-cTnT further enhanced risk stratification for MACEs. CONCLUSION: Elevated copeptin levels independently predict adverse cardiovascular outcomes in hemodialysis patients. Integrating copeptin with traditional cardiac biomarkers may refine risk stratification and guide personalized therapeutic strategies in this high-risk population.

Development of an equation to predict delta bilirubin levels using machine learning.

OBJECTIVE: Delta bilirubin (albumin-covalently bound bilirubin) may provide important clinical utility in identifying impaired hepatic excretion of conjugated bilirubin, but it cannot be measured in real-time for diagnostic purposes in clinical laboratories. METHODS: A total of 210 samples were collected, and their delta bilirubin levels were measured four times using high-performance liquid chromatography. Data collected included age, sex, diagnosis code, delta bilirubin, total bilirubin, direct bilirubin, total protein, albumin, globulin, aspartate aminotransferase, alanine transaminase, alkaline phosphatase, gamma-glutamyl transferase, lactate dehydrogenase, hemoglobin, serum hemolysis value, hemolysis index, icterus value (Iv), icterus index (Ii), lipemia value (Lv), and lipemia index. To conduct feature selection and identify the optimal combination of variables, linear regression machine learning was performed 1,000 times. RESULTS: The selected variables were total bilirubin, direct bilirubin, total protein, albumin, hemoglobin, Iv, Ii, and Lv. The best predictive performance for high delta bilirubin concentrations was achieved with the combination of albumin-direct bilirubin-hemoglobin-Iv-Lv. The final equation composed of these variables was as follows: delta bilirubin = 0.35 × Iv + 0.05 × Lv - 0.23 × direct bilirubin - 0.05 × hemoglobin - 0.04 × albumin + 0.10. CONCLUSION: The equation established in this study is practical and can be easily applied in real-time in clinical laboratories.

Interval-specific likelihood ratios and probability-based models for interpreting combined CSF biomarkers for Alzheimer's disease.

BACKGROUND: In Alzheimer's disease (AD) diagnosis, a cerebrospinal fluid (CSF) biomarker panel is commonly interpreted with binary cutoff values. However, these values are not generic and do not reflect the disease continuum. We explored the use of interval-specific likelihood ratios (LRs) and probability-based models for AD using a CSF biomarker panel. METHODS: CSF biomarker (Aß1-42, tTau and pTau181) data for both a clinical discovery cohort of 241 patients (measured with INNOTEST) and a clinical validation cohort of 129 patients (measured with EUROIMMUN), both including AD and non-AD dementia/cognitive complaints were retrospectively retrieved in a single-center study. Interval-specific LRs for AD were calculated and validated for univariate and combined (Aß1-42/tTau and pTau181) biomarkers, and a continuous bivariate probability-based model for AD, plotting Aß1-42/tTau versus pTau181 was constructed and validated. RESULTS: LR for AD increased as individual CSF biomarker values deviated from normal. Interval-specific LRs of a combined biomarker model showed that once one biomarker became abnormal, LRs increased even further when another biomarker largely deviated from normal, as replicated in the validation cohort. A bivariate probability-based model predicted AD with a validated accuracy of 88% on a continuous scale. CONCLUSIONS: Interval-specific LRs in a combined biomarker model and prediction of AD using a continuous bivariate biomarker probability-based model, offer a more meaningful interpretation of CSF AD biomarkers on a (semi-)continuous scale with respect to the post-test probability of AD across different assays and cohorts.

Biological variation of methylmalonic acid in urine in spanish population.

BACKGROUND-AIM: Methylmalonic acid (MMA) is currently the best biomarker of functional vitamin B12 deficiency. However, for a correct interpretation of the patient's results it is necessary to know its biological variation (BV). No BV data are available for urine MMA values, as measured by mass spectrometry. Hence, the aim of this study was to estimate the within- and between-person coefficients of variation (CVw, CVg) for MMA in a healthy population, and the associated index of individuality (II), as well as to define quality specifications based on BV and the reference change value (RCV). METHODS: Random urine samples from 34 healthy volunteers were collected over four consecutive weeks. Samples were stored at -80 °C until analysis in a single analytical run. MMA excretion was quantified by tandem liquid chromatography coupled to mass spectrometry (HPLC-MS/MS). Results were normalized to urine creatinine. The coefficients of variation were estimated by CV-ANOVA. Confidence intervals (95 %) were calculated. Quality specifications were defined according to international recommendations. RESULTS: A total of 128 samples were included. The coefficients of variation were CVw = 35.7 % (26.1-45.3) and CVg = 67.7 % (58.3-77.0). The associated II was 0.5 and the RCV was 88.1 %. CONCLUSION: Considering the II obtained, MMA in urine has high individuality, therefore, RCV is better to evaluate serial clinical results. Our results will contribute to a better clinical interpretation of this biomarker and will represent a great aid when defining analytical performance specifications for this magnitude.

Exploring near-infrared autofluorescence properties in parathyroid tissue: an analysis of fresh and paraffin-embedded thyroidectomy specimens.

Significance: Near-infrared autofluorescence (NIRAF) utilizes the natural autofluorescence of parathyroid glands (PGs) to improve their identification during thyroid surgeries, reducing the risk of inadvertent removal and subsequent complications such as hypoparathyroidism. This study evaluates NIRAF's effectiveness in real-world surgical settings, highlighting its potential to enhance surgical outcomes and patient safety. Aim: We evaluate the effectiveness of NIRAF in detecting PGs during thyroidectomy and central neck dissection and investigate autofluorescence characteristics in both fresh and paraffin-embedded tissues. Approach: We included 101 patients diagnosed with papillary thyroid cancer who underwent surgeries in 2022 and 2023. We assessed NIRAF's ability to locate PGs, confirmed via parathyroid hormone assays, and involved both junior and senior surgeons. We measured the accuracy, speed, and agreement levels of each method and analyzed autofluorescence persistence and variation over 10 years, alongside the expression of calcium-sensing receptor (CaSR) and vitamin D. Results: NIRAF demonstrated a sensitivity of 89.5% and a negative predictive value of 89.1%. However, its specificity and positive predictive value (PPV) were 61.2% and 62.3%, respectively, which are considered lower. The kappa statistic indicated moderate to substantial agreement (kappa = 0.478; P < 0.001 ). Senior surgeons achieved high specificity (86.2%) and PPV (85.3%), with substantial agreement (kappa = 0.847; P < 0.001 ). In contrast, junior surgeons displayed the lowest kappa statistic among the groups, indicating minimal agreement (kappa = 0.381; P < 0.001 ). Common errors in NIRAF included interference from brown fat and eschar. In addition, paraffin-embedded samples retained stable autofluorescence over 10 years, showing no significant correlation with CaSR and vitamin D levels. Conclusions: NIRAF is useful for PG identification in thyroid and neck surgeries, enhancing efficiency and reducing inadvertent PG removals. The stability of autofluorescence in paraffin samples suggests its long-term viability, with false positives providing insights for further improvements in NIRAF technology.

The effect of genetic polymorphisms in STIM1 and ORAI1 on erythropoietin resistance in Egyptian patients with end-stage renal disease.

Chronic renal failure (CRF) is an incurable disease with unique challenges. Anemia is a frequent complication affecting dialysis patients. Erythropoietin (EPO) is used to treat anemia, but a poor response may result. We investigated genetic polymorphisms of store-operated calcium channel (SOC) signaling, an important erythropoietin-activated pathway that may induce EPO resistance in patients with renal failure. A total of 108 end stage renal disease (ESRD) patients were selected for this study. Patients were divided into two groups according to their erythropoietin resistance index (ERI): 39 patients with an ERI>10 and 69 patients with an ERI<10. We selected four tagging single nucleotide polymorphisms (tSNPs) in STIM1 and five in ORAI1 in our study. A polymerase chain reaction was performed, and genotyping against EPO resistance was correlated. Patients with the AG genotype of rs1561876 in STIM1, the TC genotype of rs6486795 in ORAI1, and the TG or GG genotypes of rs12320939 in ORAI1 were associated with an increased risk of erythropoietin resistance. Overall, we reported a moderately significant relationship between genetic polymorphisms of STIM1 and EPO resistance. We also reported a highly significant relationship between genetic polymorphisms of ORAI1 and EPO resistance. The (A-A-G) haplotype of STIM1 and the (G-T-G-T-A, G-C-G-C-G, or G-T-T-C-G) haplotypes of ORAI1 were significantly associated with EPO resistance.

The growth factor content as an indicator of platelet counts in platelet-rich plasma.

BACKGROUND: Platelet contains growth factors that enhance tissue repair mechanisms, including epidermal growth factor (EGF), platelet-derived growth factor (PDGF-AA and -AB), and transforming growth factor (TGF)-ß. Autologous platelet-rich plasma (PRP) has been shown to significantly improve the treatment of tendon injuries compared with hyaluronic acid and placebo. The topic of agreement between platelet concentrations and growth factors has been covered in some previous studies, but growth factor levels did not correlate well with platelet concentrations. METHOD: In this study, autologous PRP was prepared by concentrating platelets through a J6-MI centrifuge. The automatic hematology analyzer Sysmex XN-20 was used to analyze the platelet concentration in PRP, and the PRP growth factors were determined by ELISA, including PDGF, transforming growth factor- ß1 (TGF-ß1), and EGF. Statistical analysis was conducted on data from 107 patients who received autologous PRP using Pearson correlation analysis. RESULTS: Pearson correlation analysis revealed PDGF, TGF, and EGF had a strong positive correlation with the platelet concentration of the final PRP product (r = 0.697, p < 0.0001; r = 0.488, p < 0.0001; r = 0.572, p < 0.0001, respectively) CONCLUSIONS: There was a strong positive correlation between the concentration of platelets in the final PRP product and the levels of PDGF-AB, TGF-ß, and EGF. These results suggested straightforward and cost-effective growth factor tests can provide valuable information about platelet content in PRP.

Intrathecal Dexmedetomidine as an Adjuvant to Low Dose Hyperbaric 0.5% Bupivacaine on Haemodynamic Parameters in Patients Undergoing Transurethral Resection of Prostate.

OBJECTIVE: To determine the role of dexmedetomidine in potentiating the local anaesthetic efficacy of a low dose of bupivacaine when used as an adjuvant. STUDY DESIGN: A prospective, double-blind, randomised study. Place and Duration of the Study: Department of Anaesthesia, Sindh Institute of Urology and Transplantation, Karachi, Pakistan, from July 2021 to February 2022. METHODOLOGY: One hundred and eight patients of ASA physical class I-III undergoing transurethral resection of the prostate (TURP) under sub-arachnoid block (SAB) were enroled and distributed into two equal groups. Group BUPIPURE (BP) was given 7.5 mg of pure 0.5% hyperbaric bupivacain whereas group BUPIDEX (BD) was given 6 mg of 0.5% hyperbaric bupivacain with 3 µg dexmedetomidine intrathecally. The effects in Both groups were compared using chi-square and unpaired t-tests. A significance level of p <0.05 was used to evaluate the statistical significance. RESULTS: Both groups demonstrated a steady decrease in mean heart rate (mean HR 98.9-62.7 per minute as compared to 79.1-59.4 per minute in groups BP and BD, respectively), however, no patient reached to HR <50/min. Group BP had a higher HR variability than group BD. The two groups' median peak sensory levels were similar. However, a statistically significant difference was revealed in the time taken for 2-segment regression (87.5 ± 11.3 min vs. 115.5 ± 6.2 min p <0.001 in BP and BD), as well as the time to reach T10 sensory level (13.56 ± 2.5 min vs. 10.9 ± 3.0 min p <0.001). CONCLUSION: In patients having TURP, intrathecal dexmedetomidine combined with low-dose bupivacaine results in a quicker start, extended sensory and motor block, and a decreased need for rescue analgesics. KEY WORDS: Adjuvants, Dexmedetomidine, Spinal anaesthesia, Transurethral Resection of Prostate.

Dexmedetomidine versus Ketofol for Moderate Sedation in Endoscopic Retrograde Cholangiopancreatography.

OBJECTIVE: To compare the efficacy of dexmedetomidine versus ketofol for moderate sedation in patients undergoing endoscopic retrograde cholangiopancreatography (ERCP). STUDY DESIGN: Randomised controlled trial. Place and Duration of the Study: Department of Anaesthesia, SICU and Pain Management, Sindh Institute of Urology and Transplantation, Karachi, Paksitan, from December 2021 to June 2022. METHODOLOGY: Sixty-two patients aged 20-60 years of any gender scheduled for elective ERCP were included. Patients were randomly divided into Dexmedetomidine group (2ml ampule of 100ug/ml diluted in 18ml of normal saline) and Ketofol group (2ml ketamine and 10ml of propofol 1% diluted in 8ml of normal saline) for sedation. The mean difference in time to achieve Ramsay Sedation Scale (RSS) score of 4 and Modified Aldrete's Score (MAS) of 9 were noted as outcomes in each group. In addition, complications during the procedure and recovery were also noted. RESULTS: The mean age was 39.15 ± 9.82 years. There were 33 (53.2%) males and 29 (46.8%) females. The mean time to achieve RSS 4 was significantly lower in patients who were treated with Dexmedetomidine as compared to Ketofol, i.e., 11.84 ± 1.77 minutes vs. 13.10 ± 1.64 minutes respectively (p-value 0.005, 95% CI -2.12 to -0.39). Similarly, the mean time to achieve MAS score 9 was significantly lower in patients who were treated with Dexmedetomidine as compared to Ketofol, i.e., 11.19 ± 1.72 minutes vs. 12.23 ± 1.84 minutes, respectively (p-value 0.026, 95% CI -1.94 to -0.13). CONCLUSION: Dexmedetomidine proved to be more effective than Ketofol for sedation in ERCP, achieving faster sedation and quicker recovery. KEY WORDS: Dexmedetomidine, Ketofol, Sedation, Endoscopic Retrograde Cholangiopancreatography.

Postoperative Outcomes of the Awake Colorectal Surgery with Neuraxial Anaesthesia.

OBJECTIVE: To determine the outcome of awake surgery with combined spinal epidural in geriatric colon cancer patients with advanced comorbidity. STUDY DESIGN: Quasi-experimental study. Place and Duration of the Study: Department of Anaesthesiology and Reanimation, Ankara Bilkent City Hospital, Ankara, Turkiye, from April 2022 to 2023. METHODOLOGY: Twenty-four American Society of Anaesthesiologists (ASA) I-II patients, aged 25-65 years and scheduled for colon cancer surgery were included in this research. All patients were observed preoperatively, at the operation room and at the postoperative surgery service. Spinal anaesthesia was planned for Group I and general anaesthesia for Group II. Ketofol (1:1) was administered to the combined spinal-epidural group, with a Ramsay sedation score of 3 after the spinal block. Epidural analgesia was planned for all patients. Patients' age, gender, weight, comorbidities, ASA risk scores, intraoperative haemodynamic parameters, bleeding amounts, colloid, crystalloid, and blood products were collected. RESULTS: There was no significant difference between the demographic characteristics of both anaesthesia groups (p >0.05). The amount of bleeding was statistically lower in Group I than in the general anaesthesia group (p = 0.004). Oral intake, drain withdrawal, mobilisation, discharge times, and costs were similar in all groups (p >0.05). CONCLUSION: The regional anaesthesia applications facilitate compliance with routine mobilisation, discharge procedures and prevent complications in abdominal surgery and its positive perioperative effects in patients with poor respiratory parameters, poor general condition, and high comorbidity in advanced age. KEY WORDS: Regional anaesthesia, Spinal-epidural, Mobilisation, Pain, Colon cancer.

Microplastic in Gastric Fasting Liquid and Associated Gastric Pathology.

OBJECTIVE: To determine the presence of microplastics in the stomach, and the relationship between pathological changes in stomach tissue and microplastics. STUDY DESIGN: An analytical study. Place and Duration of the Study: Department of Internal Medicine, Sorgun State Hospital, Yozgat, Turkiye, from December 2022 to November 2023. METHODOLOGY: Fasting gastric fluid sampling and endoscopic sampling including mucosal and submucosal layers from the antrum were performed. The pH values of the gastric fluids were recorded. Samples were analysed gradually by adding iron solution, hydrogen peroxide, and sodium chloride (NaCl) in a beaker at 75 degrees for 30 minutes. Biopsy materials obtained from antrum were examined histopathologically and reported according to the Sydney classification. The relationship between gastric biopsy results and the presence of microplastic was evaluated using Chi-square test. The significance level was taken as p <0.005. RESULTS: The study included 61 individuals. The presence of microplastics was detected in 17 (27.86%) gastric fluid samples obtained from the individuals. A significant correlation was found between increased activity and inflammation in antrum biopsy and the presence of microplastic (χ2 = 8.55 p = 0.014; χ2 = 25.75, p = 0.001). The relationship between atrophy, metaplasia, and Helicobacter pylori in gastric tissue and the presence of microplastic was statistically insignificant (p >0.05). CONCLUSION: Microplastics were detected in gastric fasting fluid. These materials can cause histopathologic changes and inflammation in the gastric antrum. KEY WORDS: H. pylori, Intestinal metaplasia, Inflammation, Microplastic, Plastic, Sydney classification.