Routine Blood Tests Research Articles

Sex-specific association of peripheral blood cell indices and inflammatory markers with depressive symptoms in early adolescence

BackgroundPrevious studies have reported the correlation of dysregulated blood cell indices and peripheral inflammatory markers with depression in adults but limited studies have examined this correlation in early adolescents. MethodsThis study used data from the Chinese Early Adolescents Cohort Study, which was conducted in Anhui, China. Students' depression symptoms were repeatedly measured using the Chinese version of the Center for Epidemiological Studies Depression Scale for Children. Students' blood samples were collected in September 2019 and September 2021. The peripheral blood cell counts and inflammatory marker levels were determined using routine blood tests. Multivariable regression models were used to explore the associations between blood cell indices and adolescent depressive symptoms in both the whole sample and the sex-stratified samples. ResultsThe white blood cell (WBC) count, neutrophil count (NC), platelet (PLT) count, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio, and systemic immune inflammation index (SII) were positively correlated with the severity of depressive symptoms during follow-up. The mean corpuscular volume (MCV), mean hemoglobin (HGB) volume (MCH), and mean corpuscular HGB concentration (MCHC) exhibited negative temporal correlations with depressive symptoms. Additionally, several sex-specific blood cell markers were correlated with depression. Male adolescents with increased red blood cell (RBC) and female adolescents with decreased HGB levels and upregulated WBC, NC, NLR, and SII levels exhibited severe depressive symptoms at follow-up. ConclusionsThese findings suggested the potential usefulness of peripheral blood cell indices in the assessment of depression in early adolescents.

Supplementary management of symptomatic hand osteoarthritis with Pycnogenol®.

The aim of this 4-week pilot registry, supplement study was to assess the effects of Pycnogenol® compared to a standard management on hand osteoarthritis associated with pain. As Pycnogenol® decreases inflammation and pain, chronic use of drugs, causing side effects may be reduced. The registry patients included suffered finger pain associated with hand osteoarthritis All subjects used a standard management (SM). A supplementary group additionally used 150 mg Pycnogenol® per day. In addition, a retrospective group with 40 comparable subjects using oral diclofenac was used for comparison. Forty-two subjects with hand osteoarthritis completed the study. The registry patients were former sport professionals, fishermen and subjects working with their hands in a common manual activity. 22 subjects took Pycnogenol® in addition to standard management and 20 subjects followed the standard management only and served as controls. The two groups were comparable at inclusion. No subject had to stop supplementation or the SM. No side effects were observed. After 4 weeks, spontaneous pain in the morning and pain after work were significantly reduced with Pycnogenol® supplementation compared to controls (P<0.05). Residual pain at rest in the evening was significantly improved after 4 weeks with the supplement compared to controls (P<0.05). The number of subjects requiring pain medication during the 4-week study period was significantly lower in the supplement group (2/22) compared to controls (8/20) (P<0.05). Hand dynamometry results show significant improvement in hand-finger strength (due to decreased pain and stiffness) with the supplement compared to controls (P<0.05). At inclusion, all subjects presented hyperthermic joints, 2°C higher than the surrounding tissues as shown by thermography. After 4 weeks, the number of subjects with hyperthermic joints was lower in the Pycnogenol® group than in controls (P<0.05). Both nonspecific markers of inflammation (ESR and C-reactive protein levels in blood) were significantly lower after 4 weeks in the Pycnogenol® group than in controls (P<0.05). Other routine blood tests were normal at inclusion and at the end of the study. Within 4 weeks, plasma oxidative stress decreased by 14.4% (P<0.05) in the Pycnogenol® group vs 5.5% in the control group. The retrospective comparison with a group of 40 comparable subjects using oral diclofenac showed that after 4 weeks, the efficacy of Pycnogenol® on improving pain in the morning, after work and in the evening, on hand-finger strength and on decreasing C-reactive protein was significantly higher (P<0.05) than in the diclofenac group (comparable, non-parallel group, CNPG). In conclusion, supplementation with Pycnogenol® was well tolerated and effectively controlled pain while improving grip strength in patients with hand osteoarthritis. All supplement subjects showed an improved operativity.

Associations of three differential white blood cell counts, platelet counts, and their derived inflammatory indices with cancer-related fatigue in patients with breast cancer undergoing chemotherapy.

Inflammation is thought to be a vital element in the etiology of cancer-related fatigue (CRF), and circulating blood cell parameters could be important markers of inflammatory response. However, the associations of several major blood cell counts and their derived inflammatory indices with CRF are not well described. The present study aimed to establish whether a relationship exists between the counts of three white blood cell (WBC) types, platelets, and CRF and investigate whether several systemic inflammatory indices were associated with CRF in patients with breast cancer (BC). A cross-sectional survey was conducted with a sample of 824 patients with BC undergoing chemotherapy. The cancer fatigue scale was administered to assess CRF. Hematological indicators, including neutrophils, lymphocytes, monocytes, and platelets, were retrieved from routine blood test. Network analyses were used to examine the associations among them. Among 824 participants, the mean score of CRF was (27 ± 10), ranging from 0 to 57. The results of network models indicated that physical fatigue was negatively linked to lymphocyte counts (weight = - 0.161), and affective fatigue was positively associated with neutrophil counts (weight = 0.070). Additionally, physical fatigue was positively linked to the platelet-to-lymphocyte ratio (PLR) (weight = 0.049). There were preliminary associations of counts of three WBC types, platelet counts, and systemic inflammatory indices, with distinct dimensions of CRF in patients with BC. Findings provide empirical support for the cellular basis of fatigue-associated inflammatory states.

The Association between S.T.O.N.E. Nephrolithometry Score and Hemoglobin Drop in Patients Undergoing Percutaneous Nephrolithotomy

Nephrolithiasis is a very common condition with significant burden to patients. Percutaneous nephrolithotomy (PCNL) is safe procedure considered as gold standard for large renal stones. The most common complication of PCNL is bleeding which can require blood transfusion to angioembolization and may even need nephrectomy. The purpose of this study is to assess if STONE Nephrolithometry Score can predict hemoglobin drop in PCNL procedure. A total of 104 patients who underwent PCNL during one year period from October of 2022 to September of 2023 were taken using consecutive sampling method. All patients with renal stones underwent routine blood tests including complete blood counts, renal function and electrolytes. CT scans were then done and STONE nephrolithometry Score was evaluated. PCNL was performed and hemoglobin investigation was sent at 24 hours postoperatively. The two data were compared with the STONE nephrolithometry Score and other factors. More than three-fourths (78.8%) of the patients had comorbidities with hypertension being the commonest (76.9%). There was a significant association of drop of hemoglobin more than 1 g/dl with age &lt;30 years (p &lt;0.034), higher preoperative hemoglobin (p &lt;0.046), larger stone size (p &lt;0.001), shorter tract length (p=0.017) and STONE Score greater than 10 (p&lt;0.001). On correlation study only STONE score (p = 0.015) and larger stone size (p = 0.002) were associated with hemoglobin drops of more than 1 g/dl. STONE Nephrolithometry score is a good predictor of bleeding complications during PCNL and higher score is associated with more drop in hemoglobin levels.

CRISPR/Cas9-mediated neuronal deletion of 5-lipoxygenase alleviates deficits in mouse models of epilepsy

IntroductionOur previous work reveals a critical role of activation of neuronal Alox5 in exacerbating brain injury post seizures. However, whether neuronal Alox5 impacts the pathological process of epilepsy remains unknown. ObjectivesTo prove the feasibility of neuron-specific deletion of Alox5 via CRISPR-Cas9 in the blockade of seizure onset and epileptic progression. MethodsHere, we employed a Clustered regularly interspaced short-palindromic repeat-associated proteins 9 system (CRISPR/Cas9) system delivered by adeno-associated virus (AAV) to specifically delete neuronal Alox5 gene in the hippocampus to explore its therapeutic potential in various epilepsy mouse models and possible mechanisms. ResultsNeuronal depletion of Alox5 was successfully achieved in the brain. AAV delivery of single guide RNA of Alox5 in hippocampus resulted in reducing seizure severity, delaying epileptic progression and improving epilepsy-associated neuropsychiatric comorbidities especially anxiety, cognitive deficit and autistic-like behaviors in pilocarpine- and kainic acid-induced temporal lobe epilepsy (TLE) models. In addition, neuronal Alox5 deletion also reversed neuron loss, neurodegeneration, astrogliosis and mossy fiber sprouting in TLE model. Moreover, a battery of tests including analysis of routine blood test, hepatic function, renal function, routine urine test and inflammatory factors demonstrated no noticeable toxic effect, suggesting that Alox5 deletion possesses the satisfactory biosafety. Mechanistically, the anti-epileptic effect of Alox5 deletion might be associated with reduction of glutamate level to restore excitatory/inhibitory balance by reducing CAMKII-mediated phosphorylation of Syn ISer603. ConclusionOur findings showed the translational potential of AAV-mediated delivery of CRISPR-Cas9 system including neuronal Alox5 gene for an alternative promising therapeutic approach to treat epilepsy.

A predictive modeling approach for Taiwanese diagnosis-related groups medical costs: A focus on laparoscopic appendectomy

Abstract Background: In the Taiwanese diagnosis-related groups (Tw-DRGs) system, effective management of medical resources is vital to ensure the sustainability of hospital operations. Objectives: The aim is to create a predictive model to estimate the medical costs linked to a specific Tw-DRGs item, utilizing laparoscopic appendectomy without complications or comorbidities (DRG16701) as a representative case. Materials and Methods: We employed a dataset comprising 248 surgical cases performed at a regional teaching hospital between January 2017 and December 2019. These cases were classified based on the difference between the Tw-DRGs payment standard and actual medical costs. Two experiments were conducted: one without feature selection and one with feature selection. We utilized random forest (RF) and principal component analysis in each experiment. Each experiment applied the following four predictive models: decision tree, RF, logistic regression, and backpropagation neural network. The models were evaluated by measuring the accuracy, F1-score, and area under the receiver operating characteristic curve (AUROC). Results: The RF model demonstrated satisfactory performance, achieving an accuracy and F1-score of 0.920 on the testing set, with an AUROC ranging from 0.92 to 0.95. Feature selection methods enhanced model performance, particularly for the RF model. Critical features included premeal glucose levels, age, body mass index, weight, potassium, activated partial thromboplastin time, C-reactive protein level, and height. Conclusion: On average, each laparoscopic appendectomy case resulted in a deficit of NTD 3173.6. Cost prediction proved feasible using routine blood test data obtained upon admission or before surgery. The RF model and feature selection emerged as the most suitable predictive model for this specific purpose.

Could Triglyceride-Glucose Index, a Predictor of Atherosclerosis, Be Associated with Retinal Vein Occlusion?

The triglyceride-glucose (TyG) index is a sign of atherosclerosis in cardiovascular diseases. The TyG index is thought to have clinical significance for the assessment of vascular damage. In this study we aimed to demonstrate the connection between the TyG index and retinal vein occlusion (RVO). This case-control observational study involved 492 participants aged 40-90, admitted to the ophthalmology outpatient clinic of our hospital. TyG index was calculated using the formula: ln(fasting TG [mg/dL] × fasting plasma glucose [mg/dL]/2). The RVO group included 387 patients (181 women and 206 men) and the control group included 115 patients (61 women and 54 men). The average patient age was 62.9±11.1 years in the RVO group and 56.7±8.7 years in the control group. The TyG index was higher in the RVO group (8.9±0.7) than in the control group (8.8±0.6). This difference was statistically significant (p=0.04). The correlation was statistically significant when evaluated according to age and sex by multivariate logistic regression analysis (odds ratio: 1.45, confidence interval: 1.03- 2.02, p=0.03). The TyG index is a novel atherogenicity index that is derived from routine blood tests and can be used to determine the risk of RVO in at-risk individuals with a simple calculation. Therefore, the TyG index could help as a reliable guide to identify individuals at RVO with high risk and initiate early intervention.

Integrating routine blood biomarkers and artificial intelligence for supporting diagnosis of silicosis in engineered stone workers.

Engineered stone silicosis (ESS), primarily caused by inhaling respirable crystalline silica, poses a significant occupational health risk globally. ESS has no effective treatment and presents a rapid progression from simple silicosis (SS) to progressive massive fibrosis (PMF), with respiratory failure and death. Despite the use of diagnostic methods like chest x-rays and high-resolution computed tomography, early detection of silicosis remains challenging. Since routine blood tests have shown promise in detecting inflammatory markers associated with the disease, this study aims to assess whether routine blood biomarkers, coupled with machine learning techniques, can effectively differentiate between healthy individuals, subjects with SS, and PMF. To this end, 107 men diagnosed with silicosis, ex-workers in the engineered stone (ES) sector, and 22 healthy male volunteers as controls not exposed to ES dust were recruited. Twenty-one primary biochemical markers derived from peripheral blood extraction were obtained retrospectively from clinical hospital records. Relief-F features selection technique was applied, and the resulting subset of 11 biomarkers was used to build five machine learning models, demonstrating high performance with sensitivities and specificities in the best case greater than 82% and 89%, respectively. The percentage of lymphocytes, the angiotensin-converting enzyme, and lactate dehydrogenase indexes were revealed, among others, as blood biomarkers with significant cumulative importance for the machine learning models. Our study reveals that these biomarkers could detect a chronic inflammatory status and potentially serve as a supportive tool for the diagnosis, monitoring, and early detection of the progression of silicosis.

Can Machine Learning Assist in Diagnosis of Primary Immune Thrombocytopenia? A Feasibility Study.

Primary Immune Thrombocytopenia (ITP) is a rare autoimmune disease characterised by the immune-mediated destruction of peripheral blood platelets in patients leading to low platelet counts and bleeding. The diagnosis and effective management of ITP are challenging because there is no established test to confirm the disease and no biomarker with which one can predict the response to treatment and outcome. In this work, we conduct a feasibility study to check if machine learning can be applied effectively for the diagnosis of ITP using routine blood tests and demographic data in a non-acute outpatient setting. Various ML models, including Logistic Regression, Support Vector Machine, k-Nearest Neighbor, Decision Tree and Random Forest, were applied to data from the UK Adult ITP Registry and a general haematology clinic. Two different approaches were investigated: a demographic-unaware and a demographic-aware one. We conduct extensive experiments to evaluate the predictive performance of these models and approaches, as well as their bias. The results revealed that Decision Tree and Random Forest models were both superior and fair, achieving nearly perfect predictive and fairness scores, with platelet count identified as the most significant variable. Models not provided with demographic information performed better in terms of predictive accuracy but showed lower fairness scores, illustrating a trade-off between predictive performance and fairness.

Clinical and hematological characteristics of children infected with the omicron variant of SARS-CoV-2: role of the combination of the neutrophil: lymphocyte ratio and eosinophil count in distinguishing severe COVID-19.

Investigate the clinical/hematological characteristics of children infected with the Omicron variant of severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) and identify an effective indicator to distinguish coronavirus disease 2019 (COVID-19) severity in children. A retrospective study was conducted through electronic medical records from pediatric patients. The demographic, clinical, and routine blood test (RBT) features of children diagnosed by real-time PCR for SARS-CoV-2 were collected. Data of 261 patients were analyzed. The most common abnormality shown by RBTs was increased monocyte count (68%). Children had "mild-moderate" or "severe" forms of COVID-19. Prevalence of abnormal neutrophil count (p = 0.048), eosinophil count (p = 0.006), mean corpuscular volume (p = 0.033), mean platelet volume (p = 0.006), platelet-large cell ratio (p = 0.043), and red blood cell distribution width-standard deviation (p = 0.031) were significantly different in the two types. A combination of the neutrophil: lymphocyte ratio (NLR) and eosinophil count for diagnosing severe COVID-19 presented the largest AUC (0.688, 95% CI = 0.599-0.777; p < 0.001), and the AUC increased with a decrease in age. Combination of the NLR and eosinophil count might be a promising indicator for identifying severe COVID-19 in children at infection onset.

Abdominal wound length influences the postoperative serum level of interleukin-6 and recovery of flatus passage among patients with colorectal cancer.

A mini-laparotomy for colorectal cancer (CRC) has been reported to shorten postoperative ileus (POI) and hospital stay. Interleukin-6 (IL-6) plays a role in intestinal tissue inflammation, leading to POI. This study investigated the effects of abdominal wounds and IL-6 levels on POI in patients having CRC surgery. Forty-three patients with CRC underwent bowel resection. Serum samples were collected preoperatively and at 2, 24, and 48 h after surgery for cytokine quantification by ELISA. Clinical data, including time from surgery to first passage of flatus and postoperative hospital stay, demographic and pathological data, and routine blood tests, were compared statistically with abdominal wound length and the postoperative increments of cytokines (designated as Δ). The length of the abdominal wound showed a significant correlation with clinical variables (length of operation time, time of first flatus passage, and length of postoperative hospital stay) and cytokine variables (IL-6(Δ2 h), IL-8(Δ2 h) and IL-10(Δ2 h). Linear regression analysis showed that the abdominal wound length significantly influenced the operation time, time of first flatus passage, and length of postoperative hospital stay (p < 0.001). The length of the abdominal wound showed a significant influence on the IL-6(Δ2 h) and IL-8(Δ2 h) (p < 0.001, respectively) but no influence on IL-10(Δ2 h). IL-6(Δ2 h), but not IL-8(Δ2 h), significantly influenced the time to first flatus passage and length of hospital stay (p = 0.007, p = 0.006, respectively). The mini-laparotomy approach (wound length <7 cm) led to significantly shortened operation time, time of first flatus passage, length of postoperative stay (p = 0.004, p = 0.003, p = 0.006, respectively) as well as reduced postoperative increment of IL-6(Δ2 h) (p = 0.015). The mini-laparotomy for anterior resection surgery significantly influenced operation time, time of first passage of flatus, length of postoperative stay, and IL-6(Δ2 h). Our study is the first to report the complex interaction among the length of the abdominal wound, IL-6 serum level, recovery of the first passage of flatus, and postoperative hospital stay. These results suggest that smaller abdominal wounds and smaller postoperative IL-6 increments were associated with faster recovery of flatus passage and shorter hospital stays.

Cholangiocarcinoma, sequential chemotherapy, and prognostic tests.

Routine blood tests are prognostic tests for patients with cholangiocarcinoma. New drug regimens may produce a median overall survival of 2 years or more. This single practice, IRB-approved, phase II trial examines prognostic tests, Kaplan-Meier survival, and univariate Cox regression analyses. Eligibility requires: intent-to-treat; signed consent; advanced measurable intrahepatic cholangiocarcinoma, with or without resistance to the test drugs; any adult age; performance status 0-2; and expected survival of ≥ 6 weeks. Biweekly treatment, with 1/3 of standard dosages in mg/M2, includes: Gemcitabine 500; 5-Fluorouracil 1200 over 24 hours; Leucovorin 180; Irinotecan 80; and on day 2, Oxaliplatin 40. On progression, drugs are added on day 2: first, Docetaxel 25 precedes Oxaliplatin, with or without Mitomycin C 6 after Oxaliplatin. The next sequential additions are day 1, Cetuximab 400 total mg, then 200 mg weekly, and then Bevacizumab 10 mg/kg is substituted for Cetuximab (FDA IND# 119005). For 35 patients, 19 with 1-2 lines of prior therapy, resistant tumors, and 16 no prior therapy, survival at 24-months is ≥ 72 and ≥ 58%, respectively. For 14 patients aged ≥ 70 years, ≥ 63% survive 24 months, P = 0.28. Validated tests that predict ≤ 6-month survivals find median survival times of 17-months through > 2-years when compared to patients with favorable tests: Neutrophils lymphocyte ratio > 3.0, HR = 6.54, P < 6.4x10-3; absolute neutrophil count > 8000/μl, HR = 4.95, P < 6.5x10-3; serum albumin < 3.5 g/dl, HR = 4.10, P < 0.03; and lymphocyte monocyte ratio< 2.1, HR = 1.6, P = 0.50. Overall, the 76 (60-90)% of patients with 0-2 out of 4 high risk tests survive ≥ 24 months, (P = 7.1x10-3). Treatments produce neither hospitalization, neutropenic fever, severe enteritis, nor severe neuropathies. Two-year survival is replicable and predictable. Findings warrant phase III validation tests of sequential regimens, re-challenge with recombination, low dosages, and blood tests that are associated with lethal mechanisms that impair response and survival.

Relationship between preoperative hemoglobin levels and length of stay in elderly patients with hip fractures: A retrospective cohort study.

Globally, hip fractures in elderly individuals are a prevalent and serious issue. Patients typically have a longer length of stay (LOS), which increases the risk of complications and increases hospitalization costs. Hemoglobin (Hb) is a routine blood test that is associated with disease prognosis. This study aimed to investigate the relationship between preoperative Hb and LOS in elderly hip fracture patients and to determine a reliable transfusion threshold. The clinical data of hip fracture patients (aged ≥ 60 years) admitted to the Department of Orthopaedics, Shenzhen Second People's Hospital, between January 2012 and December 2021 were retrospectively analyzed. Multiple linear regression analysis was used to assess the linear relationship between preoperative Hb and LOS. Smooth curve fitting was performed to investigate potential nonlinear relationships. In the case of discovering nonlinear relationships, a weighted two-piecewise linear regression model was built, and the inflection points were determined using a recursive algorithm. Subgroup analyses were conducted based on age and gender. A total of 1444 patients with an average age of (77.54 ± 8.73) years were enrolled. After adjusting for covariates, a nonlinear relationship was found between preoperative Hb and LOS. The two-piecewise linear regression model revealed an inflection point of 10 g/dL. On the left of the inflection point (Hb < 10 g/dL), the LOS was reduced by 0.735 days for every 1 g/dL increase in Hb (β = -0.735, 95% confidence interval: -1.346 to -0.124, P = .019). On the right side of the inflection point (Hb > 10 g/dL), the relationship was not statistically significant (β = 0.001, 95% confidence interval: -0.293 to 0.296, P = .992). In elderly hip fracture patients, there is a nonlinear association between preoperative Hb and LOS. However, when Hb levels were <10 g/dL, there was a negative correlation with the LOS. No correlation was observed when Hb levels were >10 g/dL. These findings underscore the importance of timely intervention to manage Hb levels in elderly patients with hip fractures, potentially reducing hospitalization durations and associated complications.

Molecular Characteristics and Pretreatment Neutrophil-to-Lymphocyte Ratio as Predictors of Durable Clinical Benefit from Immune Checkpoint Inhibition in Non-Small Cell Lung Cancer

BackgroundPrior research in non-small cell lung cancer (NSCLC) has shown that tumors with specific driver mutations may be less likely to respond to immune checkpoint inhibitors (ICI). In this analysis, we evaluated the characteristics of patients with durable clinical benefit (DCB) to ICI compared to those with no durable clinical benefit (NDB), with emphasis on the role of molecular alterations in EGFR, ALK, and ROS1 and pretreatment neutrophil-to-lymphocyte ratio (NLR). MethodsWe retrospectively collected clinical characteristics and outcomes for patients who initiated ICI monotherapy for advanced NSCLC at Stanford University between April 2015 and May 2018. Patients were classified as having DCB if time on ICI therapy was greater than or equal to 180 days, or NDB if less than 180 days. Outcomes included best radiographic benefit while on ICI and survival from time of ICI initiation. ResultsOf 123 patients treated with ICI for NSCLC, 28 patients had DCB (23%), while 95 had NDB (77%). Median overall survival from initiation of ICI in the 33 patients with molecular alterations in EGFR (n = 31), ALK, or ROS1 and NLR of 5.9 or higher was 2.0 months, compared to 8.1 months in patients with these genomic alterations and NLR less than 5.9. Median overall survival in patients without alterations in EGFR, ALK, or ROS1 and NLR of 5.9 or higher was 4.3 months, compared to 12.1 months in patients with NLR less than 5.9 (P = .023). ConclusionsElevation in pretreatment NLR was associated with significantly lower overall median survival from initiation of ICI, particularly when in combination with NSCLC with alterations in EGFR, ALK, or ROS1. This finding could influence clinical practice as NLR is readily available through routine blood testing.

Electroacupuncture for slow flow/no-reflow phenomenon in patients with acute myocardial infarction undergoing percutaneous coronary intervention: protocol for a pilot randomized controlled trial.

Slow flow/no-reflow (SF-NR) during percutaneous coronary intervention (PCI) is associated with poor prognosis of patients with acute myocardial infarction (AMI). Currently, effective treatment is not available for SF-NR. Electroacupuncture (EA) has shown significant efficacy as an adjuvant therapy for many cardiovascular diseases by improving microcirculation and reducing ischemia-reperfusion injury. However, its effects on SF-NR in the AMI patients during PCI are not clear. This pilot trial aims to determine the efficacy of intraoperative EA in alleviating SF-NR in AMI patients undergoing PCI. This prospective, single-center, randomized controlled, pilot trial will recruit 60 AMI patients scheduled for PCI at the Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, China. The patients will be randomized in a 1:1 ratio into the EA or the control groups. Patients in the control group will undergo standard PCI. Patients in the EA group will undergo intraoperative electroacupuncture while undergoing standard PCI. Incidence of SF-NR is the primary outcome for this study. This study will also assess secondary outcomes including cardiac biomarkers, inflammatory biomarkers, pain and anxiety scores, electrocardiography parameters, traditional Chinese medicine (TCM) symptom score, and major adverse cardiovascular and cerebrovascular events (MACCE). All the included patients will undergo laboratory tests including routine blood tests, levels of electrolytes, as well as liver and renal function tests. Patients will be followed up for 1 month after the procedure. This pilot trial will provide evidence for the potential benefits of intraoperative EA in improving microvascular perfusion and preventing or alleviating SF-NR during PCI in patients with AMI. If proven effective, intraoperative EA will provide a new and effective strategy against SF-NR and provide evidence for subsequent multicenter trials. ClinicalTrials.gov, identifier (ChiCTR2300072265). Registered on 8 June 2023.

Establishment and validation of a bad outcomes prediction model based on EEG and clinical parameters in prolonged disorder of consciousness.

This study aimed to explore the electroencephalogram (EEG) indicators and clinical factors that may lead to poor prognosis in patients with prolonged disorder of consciousness (pDOC), and establish and verify a clinical predictive model based on these factors. This study included 134 patients suffering from prolonged disorder of consciousness enrolled in our department of neurosurgery. We collected the data of sex, age, etiology, coma recovery scales (CRS-R) score, complications, blood routine, liver function, coagulation and other laboratory tests, resting EEG data and follow-up after discharge. These patients were divided into two groups: training set (n = 107) and verification set (n = 27). These patients were divided into a training set of 107 and a validation set of 27 for this study. Univariate and multivariate regression analysis were used to determine the factors affecting the poor prognosis of pDOC and to establish nomogram model. We use the receiver operating characteristic (ROC) and calibration curves to quantitatively test the effectiveness of the training set and the verification set. In order to further verify the clinical practical value of the model, we use decision curve analysis (DCA) to evaluate the model. The results from univariate and multivariate logistic regression analyses suggested that an increased frequency of occurrence microstate A, reduced CRS-R scores at the time of admission, the presence of episodes associated with paroxysmal sympathetic hyperactivity (PSH), and decreased fibrinogen levels all function as independent prognostic factors. These factors were used to construct the nomogram. The training and verification sets had areas under the curve of 0.854 and 0.920, respectively. Calibration curves and DCA demonstrated good model performance and significant clinical benefits in both sets. This study is based on the use of clinically available and low-cost clinical indicators combined with EEG to construct a highly applicable and accurate model for predicting the adverse prognosis of patients with prolonged disorder of consciousness. It provides an objective and reliable tool for clinicians to evaluate the prognosis of prolonged disorder of consciousness, and helps clinicians to provide personalized clinical care and decision-making for patients with prolonged disorder of consciousness and their families.

Predictive value of preoperative routine examination for the prognosis of patients with pT2N0M0 or pT3N0M0 colorectal cancer.

In recent years, the incidence of colorectal cancer (CRC) has been increasing. With the popularization of endoscopic technology, a number of early CRC has been diagnosed. However, despite current treatment methods, some patients with early CRC still experience postoperative recurrence and metastasis. To search for indicators associated with early CRC recurrence and metastasis to identify high-risk populations. A total of 513 patients with pT2N0M0 or pT3N0M0 CRC were retrospectively enrolled in this study. Results of blood routine test, liver and kidney function tests and tumor markers were collected before surgery. Patients were followed up through disease-specific database and telephone interviews. Tumor recurrence, metastasis or death were used as the end point of study to find the risk factors and predictive value related to early CRC recurrence and metastasis. We comprehensively compared the predictive value of preoperative blood routine, blood biochemistry and tumor markers for disease-free survival (DFS) and overall survival (OS) of CRC. Cox multivariate analysis demonstrated that low platelet count was significantly associated with poor DFS [hazard ratio (HR) = 0.995, 95% confidence interval (CI): 0.991-0.999, P = 0.015], while serum carcinoembryonic antigen (CEA) level (HR = 1.008, 95%CI: 1.001-1.016, P = 0.027) and serum total cholesterol level (HR = 1.538, 95%CI: 1.026-2.305, P = 0.037) were independent risk factors for OS. The cutoff value of serum CEA level for predicting OS was 2.74 ng/mL. Although the OS of CRC patients with serum CEA higher than the cutoff value was worse than those with lower CEA level, the difference between the two groups was not statistically significant (P = 0.075). For patients with T2N0M0 or T3N0M0 CRC, preoperative platelet count was a protective factor for DFS, while serum CEA level was an independent risk factor for OS. Given that these measures are easier to detect and more acceptable to patients, they may have broader applications.

Comparative observational study on diagnostic utility of impulse oscillometry vs spirometry in obstructive airway diseases

Background Obstructive airway diseases, including chronic obstructive pulmonary disease (COPD) and asthma, pose significant global health challenges. Early and accurate diagnosis is crucial for effective management. Although Spirometry has traditionally been the cornerstone of diagnostics, Impulse Oscillometry (IOS) has emerged as a promising alternative. This study aims to compare the diagnostic performance of Spirometry and IOS in patients attending the Respiratory Medicine Department at the Acharya Vinoba Bhave Rural Hospital, Sawangi, India. Methods A Comparative Observational Study was conducted between August 2022 and August 2024, enrolling patients who met specific inclusion criteria. Data were collected through a comprehensive medical history, clinical examination, routine blood tests, chest radiography, High-resolution computed tomography (HRCT), spirometry, and IOS. Key parameters, including Forced expiratory volume in the first second FEV1, FEV1/FVC (Forced Expiratory Volume), (Forced Expiratory Volume) FVC, (Forced Expiratory Flow) FEF 25-75 for Spirometry, and R5, R20, fres, X5, and AX for IOS, were analyzed using the Chi-Square Test and Student’s t-test with SPSS 27.0 and GraphPad Prism 7.0. Expected outcome The study included 130 participants with the primary objective of evaluating IOS’s diagnostic advantages of IOS over spirometry. Our findings demonstrate that IOS offers enhanced sensitivity for diagnosing early small airway diseases, which is a crucial factor for early diagnosis in both pediatric and adult populations.

The prognostic significance of preoperative platelet-to-lymphocyte ratio and interleukin-6 level in non-muscle invasive bladder cancer.

Non-muscle invasive bladder cancer (NMIBC) is the most prevalent type of bladder cancer, typically associated with a favorable prognosis and a risk of recurrence during the follow-up period. Inflammatory markers have been used to predict prognosis in various cancer types. The aim of this study was to explore the prognostic value of the readily accessible inflammatory markers, platelet-to-lymphocyte ratio (PLR) and interleukin-6 (IL-6), in NMIBC. The study comprised a retrospective analysis of clinical data collected from NMIBC patients diagnosed between October 2018 and October 2020. PLR was calculated using the routine preoperative blood test results, and preoperative IL-6 levels were recorded. Receiver operating characteristic (ROC) curves were generated for PLR and IL-6 level and the optimal cut-off values were determined using Youden's index. Survival curves were generated to evaluate the association between PLR and IL-6, and recurrence-free survival (RFS), and univariate and multivariate analysis were performed using the Cox proportional hazards regression model. A nomogram and calibration curve were generated to assess the clinical significance of the model. The ROC curves demonstrated that PLR and IL-6 levels were significantly associated with tumor pathology grade, with area under the curve (AUC) values of 0.833 (95% CI 0.757, 0.910) for PLR and 0.724 (95% CI 0.622, 0.825) for IL-6 levels. PLR and IL-6 levels were also positively associated with tumor recurrence, with AUC values of 0.647 (95% CI 0.538, 0.756) and 0.846 (95% CI 0.769, 0.924), respectively. The survival curves indicated that patients with high PLR and high IL-6 levels had shorter RFS than those with low PLR and low IL-6 level (P < 0.01). Univariate Cox proportional hazards regression analysis showed that age, tumor size, tumor number, pathological grade, PLR and IL-6 were potential risk factors for NMIBC recurrence. Multivariate analysis further revealed that tumor number, smoking, PLR, and IL-6 were independent risk factors for NMIBC recurrence (P < 0.05). Preoperative peripheral blood inflammatory markers (PLR and IL-6) are useful predictors of RFS in NMIBC patients at the time of initial diagnosis. High PLR and high IL-6 were identified as independent risk factors for tumor recurrence and could serve as potential biological markers for prediction of NMIBC recurrence.

Analysis of rare mutations associated with Thalassemia and their hematological characteristics in Chenzhou region of Hunan Province

To explore the distribution and hematological characteristics of rare thalassemia-associated mutations in Chenzhou region of Hunan Province with an aim to provide a basis for genetic counseling and effective prevention. A total of 37 370 individuals enrolled from January 2015 to December 2021 were screened by routine blood test and hemoglobin electrophoresis. The genotypes were determined with high-throughput sequencing. A total of 8 455 thalassemia mutations (including 185 rare ones) were detected, which had involved 27 mutational types. Rare type α-Thalassemia --THAI and CD31 (AGG>AAG) have the typical microcytic hypochromic hematological features, whilst SEA-HPFH, CD14 (CTG>-TG), CD37 (TGG>TAG), -90(C>T), Codon 15 (G>A), IVS-I-128 (T>G), CD86 (GCC>GC-) and Chinese Gγ+(Aγδβ)0 had typical microcytic hypochromic and β-thalassemia-associated hematological features of elevated HbA2 or HbF. In addition, the -50（G>A）heterozygotes of β-thalassemia had normal or slightly decreased MCV and MCH without an increase in HbA2. Various forms of thalassemia-associated mutations have been identified in the Chenzhou region of Hunan Province. Above finding has facilitated development of preventive and control strategies for thalassemia as well as birth health programs.