Blood biochemical indicators are an important basis for the diagnosis and treatment by doctors. The performance of related instruments, the qualification of operators, the storage method and time of blood samples and other factors will affect the accuracy of test results. However, it is difficult to meet the clinical needs of rapid detection and early screening of diseases with currently available methods. Point-of-care testing (POCT) is a new diagnostic technology with the characteristics of instant, portability, accuracy and efficiency. Microfluidic chips can provide an ideal experimental reaction platform for POCT. This paper summarizes the existing detection methods for common biochemical indicators such as blood glucose, lactic acid, uric acid, dopamine and cholesterol, and focuses on the application status of POCT based on microfluidic technology in blood biochemistry. It also summarizes the advantages and challenges of existing methods and prospects for development. The purpose of this paper is to provide relevant basis for breaking through the technical barriers of microfluidic and POCT product development in China.
Humans ; Point-of-Care Testing ; Lactic Acid/blood* ; Microfluidic Analytical Techniques/methods* ; Blood Glucose/analysis* ; Point-of-Care Systems ; Blood Chemical Analysis/instrumentation* ; Uric Acid/blood* ; Cholesterol/blood* ; Dopamine/blood* ; Microfluidics/methods*

OBJECTIVE: To investigate the predictive value of early lactate/albumin ratio (LAR) combined with quick sequential organ failure assessment (qSOFA) for the 28-day prognosis of patients with sepsis caused by emergency community-acquired pneumonia (CAP). METHODS: The clinical data of patients with sepsis caused by CAP admitted to the department of emergency of Beijing Haidian Hospital from June 2021 to August 2022 were retrospectively analyzed, including gender, age, comorbidities, lactic acid (Lac), serum albumin (Alb), LAR, procalcitonin (PCT) within 1 hour, and 28-day prognosis. Patients were divided into two groups based on 28-day prognosis, and risk factors affecting patients' prognosis were analyzed using univariate and multivariate Cox regression methods. Patients were divided into two groups according to the best cut-off value of LAR, and Kaplan-Meier survival curves were used to analyze the 28-day cumulative survival of patients in each group. Time-dependent receiver operator characteristic curve (ROC curve) were plotted to analyze the predictive value of sequential organ failure assessment (SOFA), acute physiology and chronic health evaluation II (APACHE II), and qSOFA+LAR score on the prognosis of patients with sepsis caused by CAP at 28 days. The area under the curve (AUC) was calculated and compared. RESULTS: A total of 116 patients with sepsis caused by CAP were included, of whom 80 survived at 28 days and 36 died, 28-day mortality of 31.0%. There were no statistically significant differences in age, gender, comorbidities, pH, platelet count, and fibrinogen between the survival and death groups, and there were significantly differences in blood urea nitrogen (BUN), white blood cell count (WBC), hemoglobin, Lac, Alb, PCT, D-dimer, LAR, as well as qSOFA score, SOFA score, and APACHE II score. Univariate Cox regression analyses showed that BUN, WBC, pH, Lac, Alb, PCT, LAR, qSOFA score, SOFA score, and APACHE II score were associated with mortality outcome. Multifactorial Cox regression analysis of the above variables showed that BUN, WBC, PCT, and APACHE II score were independent risk factors for 28-day death in the emergency department in patients with sepsis caused by CAP [hazard ratio (HR) were 1.081, 0.892, 1.034, and 1.135, respectively, all P < 0.05]. The best cut-off value of early LAR for predicting the 28-day prognosis of sepsis patients was 0.088, the Kaplan-Meier survival curve showed that the 28-day cumulative survival rate of sepsis patients in the LAR ≤ 0.088 group was significantly higher than that in the LAR > 0.088 group [82.9% (63/76) vs. 42.5% (17/40), Log-Rank test: χ² = 22.51, P < 0.001]. The qSOFA+LAR score was calculated based on the LAR cut-off value and qSOFA score, and ROC curve analysis showed that the AUCs of SOFA score, APACHE II score, and qSOFA+LAR score for predicting 28-day death of patients with sepsis caued by CAP were 0.741, 0.774, and 0.709, respectively, with the AUC of qSOFA+LAR score slightly lower than those of SOFA score and APACHE II score, but there were no significantly differences. When the best cut-off value of qSOFA+LAR score was 1, the sensitivity was 63.9% and the specificity was 80.0%. CONCLUSION The qSOFA+LAR score has predictive value for the 28-day prognosis of patients with sepsis caused by CAP in the emergency department, its predictive value is comparable to the SOFA score and the APACHE II score, and it is more convenient for early use in the emergency department.
Emergency Service, Hospital/statistics & numerical data* ; Sepsis/etiology* ; Prognosis ; Community-Acquired Pneumonia/mortality* ; Organ Dysfunction Scores ; Predictive Value of Tests ; Lactic Acid/blood* ; Serum Albumin, Human/analysis* ; Biomarkers/blood* ; Retrospective Studies ; Hospital Mortality ; Kaplan-Meier Estimate ; APACHE ; Procalcitonin/blood* ; ROC Curve ; Area Under Curve ; Humans

OBJECTIVE: To explore the predictive efficacy of the early lactic acid/albumin ratio (LAR) for the occurrence of acute skin failure (ASF) in patients with sepsis. METHODS: A retrospective study was conducted to collect the clinical data of 115 patients with sepsis admitted to the intensive care unit (ICU) of the First Affiliated Hospital of Dalian Medical University from June 2022 to March 2024. The patients' gender, age, length of ICU stay, past medical history, and severity scores, use of mechanical ventilation or vasoactive drugs, albumin (Alb), lactic acid (Lac), mean arterial pressure (MAP), and blood gas analysis indicators within 24 hours of ICU admission were collected, and LAR was calculated. The patients were divided into two groups based on whether they developed ASF, and the clinical data between the two groups were compared. Multivariate Logistic regression analysis was used to screen the risk factors for the occurrence of ASF in patients with sepsis. The receiver operator characteristic curve (ROC curve) was drawn to analyze the predictive value of LAR for the occurrence of ASF in patients with sepsis. RESULTS: A total of 115 patients with sepsis were enrolled in the final analysis, among whom 35 developed ASF and 80 did not. The incidence of ASF was 30.43%. Univariate analysis showed that compared with the non-ASF group, the ASF group had higher acute physiology and chronic health evaluation II (APACHE II) score, proportion of using vasoactive drugs, Lac, and LAR as well as lower Alb and MAP, with statistically significant differences. Multivariate Logistic regression analysis was conducted on the factors with statistical significance in the univariate analysis, and the results showed that Alb [odds ratio (OR) = 0.639, 95% confidence interval (95%CI) was 0.474-0.862, P = 0.003], Lac (OR = 17.228, 95%CI was 1.517-195.641, P = 0.022), MAP (OR = 0.905, 95%CI was 0.855-0.959, P = 0.001), and LAR (OR < 0.001, 95%CI was < 0.001-0.005, P = 0.033) were independent risk factors for the occurrence of ASF in patients with sepsis. ROC curve analysis showed that the area under the ROC curve (AUC) of LAR for predicting the occurrence of ASF in patients with sepsis was 0.867 (95%CI was 0.792-0.943), which was superior to Alb, Lac, and MAP [AUC (95%CI) was 0.739 (0.648-0.829), 0.844 (0.760-0.929), and 0.860 (0.783-0.937), respectively]. When the optimal cut-off value of LAR was 0.11, the sensitivity was 65.7%, the specificity was 96.3%, and the Youden index was 0.620. Patients were grouped based on the optimal cut-off value of LAR, and the results showed that the incidence of ASF in the LAR > 0.11 group was significantly higher than that in the LAR ≤ 0.11 group [88.89% (24/27) vs. 12.50% (11/88), P < 0.05]. CONCLUSIONS LAR has early predictive value for the occurrence of ASF in patients with sepsis, and its efficacy is superior to that of Lac or Alb alone.
Humans ; Sepsis/blood* ; Retrospective Studies ; Lactic Acid/blood* ; Male ; Female ; Intensive Care Units ; Middle Aged ; Risk Factors ; Predictive Value of Tests ; Serum Albumin/analysis* ; ROC Curve ; Aged

OBJECTIVE: The predictors of poor prognosis in heat stroke (HS) remain unknown. This study investigated the predictive factors of poor prognosis in patients with HS.METHODS: Data were obtained and analyzed from the health records of patients diagnosed with heat illness at Ajou university hospital between January 2008 and December 2017. Univariate and multivariate analyses were performed to identify the independent predictors of poor prognosis.RESULTS: Thirty-six patients (median age, 54.5 years; 33 men) were included in the study. Poor prognosis was identified in 27.8% of the study population (10 patients). The levels of S100B protein, troponin I, creatinine, alanine aminotransferase, and serum lactate were statistically significant in the univariate analysis. Multiple regression analysis revealed that poor prognosis was significantly associated with an increased S100B protein level (odds ratio, 177.37; 95% confidence interval, 2.59 to 12,143.80; P=0.016). The S100B protein cut-off level for predicting poor prognosis was 0.610 μg/L (area under the curve, 0.906; 95% confidence interval, 0.00 to 1.00), with 86% sensitivity and 86% specificity.CONCLUSION: An increased S100B protein level on emergency department admission is an independent prognostic factor of poor prognosis in patients with HS. Elevation of the S100B protein level represents a potential target for specific and prompt therapies in these patients.
Alanine Transaminase ; Biomarkers ; Creatinine ; Emergency Service, Hospital ; Heat Stroke ; Hot Temperature ; Humans ; Lactic Acid ; Multivariate Analysis ; Prognosis ; Sensitivity and Specificity ; Troponin I

OBJECTIVE: To evaluate the prognostic value of the difference between peripheral venous and arterial partial pressure of carbon dioxide in patients with septic shock following early resuscitation. METHODS: This prospective study was conducted among the patients with septic shock treated in our department during the period from May, 2017 to May, 2018. Peripheral venous, peripheral arterial and central venous blood samples were collected simultaneously and analyzed immediately at bedside after 6-h bundle treatment. Arterial blood lactate concentration (Lac) and the arterial (PaCO), peripheral venous (PpvCO) and central venous partial pressure of carbon dioxide (PcvCO) were recorded. The differences between PpvCO and PaCO (Ppv-aCO) and between PcvCO and PaCO (Pcv-aCO) were calculated. Pearson correlation analysis was used to test the agreement between Pcv-aCO and Ppv-aCO. Multivariable logistic regression analysis was performed to analyze the possible risk factors for 28-day mortality, and the receiver-operating characteristic curve (ROC) was plotted to assess the prognostic values of these factors for 28-day mortality. RESULTS: A total of 62 patients were enrolled in this study, among who 35 survived and 27 died during the 28-day period. Compared with the survivor group, the patients died within 28 days showed significantly higher Acute Physiology and Chronic Health Evaluation Ⅱ (APACHE Ⅱ) score (24.2±6.0 20.5±4.9, =0.011), sequential organ failure assessment (SOFA) score (14.9±4.7 12.2±4.5, =0.027), PcvaCO (5.5±1.6 7.1±1.7, < 0.001), PpvaCO (7.1±1.8 10.0±2.7, < 0.001), and arterial lactate level (3.3±1.2 4.2±1.3, =0.003) after 6-h bundle treatment. Pearson correlation analysis showed that Ppv-aCO was significantly correlated with Pcv-aCO (=0.897, R= 0.805, < 0.001). Multiple logistic regression analysis identified Ppv-aCO (β=0.625, =0.001, OR=1.869, 95% CI: 1.311-2.664) and lactate level (β=0.584, =0.041, OR=1.794, 95%CI: 1.024-3.415) as the independent risk factors for 28-day mortality. The maximum area under the ROC (AUC) of Ppv-aCO was 0.814 (95%CI: 0.696- 0.931, < 0.001), and at the best cut- off value of 9.05 mmHg, Ppv-aCO had a sensitivity of 70.4% and a specificity of 88.6% for predicting 28-day mortality. The AUC of lactate level was 0.732 (95%CI: 0.607-0.858, =0.002), and its sensitivity for predicting 28-day mortality was 70.4% and the specificity was 74.3% at the best cut-off value of 3.45 mmol/L; The AUC of Pcv-aCO was 0.766 (95%CI: 0.642-0.891, < 0.001), and its sensitivity was 66.7% and the specificity was 80.0% at the best cut-off value of 7.05 mmHg. CONCLUSIONS A high Ppv-aCO after early resuscitation of septic shock is associated with poor outcomes. Ppv-aCO is well correlated with Pcv-aCO and can be used as an independent indicator for predicting 28-day mortality in patients with septic shock.
APACHE ; Carbon Dioxide ; Cardiopulmonary Resuscitation ; Humans ; Lactic Acid ; blood ; Organ Dysfunction Scores ; Partial Pressure ; Pilot Projects ; Prognosis ; Prospective Studies ; ROC Curve ; Regression Analysis ; Shock, Septic ; blood ; mortality

OBJECTIVE: Reliable biomarkers of delayed neuropsychological sequelae (DNS) after acute carbon monoxide (CO) poisoning are lacking. This study investigated the associations between potential serum markers and the development of DNS after acute CO poisoning. METHODS: Retrospective chart reviews were conducted for patients diagnosed with acute CO poisoning during a 28-month period. The patients were divided into two groups according to the presence or absence of having developed DNS. Multivariate analysis was performed to identify predictors of DNS after CO poisoning. RESULTS: Of a total of 102 patients, 10 (9.8%) developed DNS. The levels of serum osmolarity, S100B protein, and serum lactate, as well as serum anion gap, were statistically significant in univariate analysis. Multiple logistic regression analysis showed that anion gap (adjusted odds ratio [AOR], 1.36; 95% confidence interval [CI], 1.11 to 1.88), serum lactate level (AOR, 1.74; 95% CI, 1.26 to 2.75), and serum S100B protein level ([AOR, 7.02×10⁵; 95% CI, 4.56×10² to 9.00×10¹⁰] in model 1, [AOR, 3.69×10⁵; 95% CI, 2.49×10² to 2.71×10¹¹] in model 2) were independently associated with DNS development. CONCLUSION: Based on our preliminary results, serum lactate level, serum anion gap, and serum S100B protein level in the emergency department could be informative predictors of DNS development in patients with acute CO poisoning. These markers might have the potential to improve early recognition of DNS in patients with acute CO poisoning.
Acid-Base Equilibrium ; Biomarkers* ; Carbon Monoxide Poisoning* ; Carbon Monoxide* ; Carbon* ; Emergency Service, Hospital ; Humans ; Interleukin-6* ; Lactic Acid* ; Logistic Models ; Multivariate Analysis ; Neurotoxicity Syndromes ; Odds Ratio ; Osmolar Concentration* ; Poisoning ; Retrospective Studies

OBJECTIVE: This study aimed to identify the effects of serum potassium and lactate on neurologic outcomes in out-of-hospital post-cardiac arrest adult patients. METHODS: This study was a single center, retrospective observational study. We recruited out-of-hospital post-cardiac arrest adult patients admitted to an intensive care unit from 2011 to 2017. Primary outcome was good neurologic outcome at discharge. To evaluate the prognostic impact of serum potassium and lactate, univariate and multivariate logistic regression analyses were performed. RESULTS: A total of 57 patients were included in this study. The number of patients with good neurologic outcome was 19 (33.3%). In the univariate analysis, good neurologic outcome patients showed a higher smoking rate, shorter pre-hospital transportation time, higher rate of percutaneous coronary intervention, and lower severity score (all p < 0.05). The good neurologic outcome patients also presented higher pH, lower partial pressure of carbon dioxide, and lower potassium regarding laboratory findings on the first hospital day (all p < 0.05). In the multivariate analysis, the independent factors favoring good neurologic outcome were pre-hospital transportation time (adjusted odds ratio [aOR], 0.82; 95% confidence interval [CI], 0.69–0.97; P=0.019) and lower partial pressure of carbon dioxide on the first hospital day (aOR, 0.95; 95% CI, 0.91–0.99; P=0.034). CONCLUSION: Serum potassium and lactate were not significantly associated with good neurologic outcome in out-of-hospital post-cardiac arrest adult patients. The prognostic factors for good neurologic outcome were pre-hospital transportation time and initial partial pressure of carbon dioxide.
Adult* ; Carbon Dioxide ; Cardiopulmonary Resuscitation ; Heart Arrest ; Humans ; Hydrogen-Ion Concentration ; Intensive Care Units ; Lactic Acid* ; Logistic Models ; Multivariate Analysis ; Observational Study ; Odds Ratio ; Partial Pressure ; Percutaneous Coronary Intervention ; Potassium* ; Prognosis ; Retrospective Studies ; Smoke ; Smoking ; Transportation

BACKGROUND/AIMS: The initial microbial colonization is a crucial step for the healthy development of an infant. Previous studies from India reported the dominance of target microbial species among Indian infants without any analysis on the diversity of target groups. This is the first study from India with an objective to investigate the establishment and diversity of lactic acid producing bacteria (LAB) and bifidobacteria in vaginally delivered, full term, breastfed infants for the first 4 months after birth. METHODS: Present study used polymerase chain reaction-denaturing gradient gel electrophoresis (PCR-DGGE) based sequence analysis of LAB and bifidobacteria in healthy infants. The results were used to compare the development and early colonization by LAB and bifidobacteria using diversity indices during the initial months of development of gut microbiota in infants. RESULTS: During the first 4 months, the Shannon diversity index (H) of LAB increased from 1.16 to 1.318 and for bifidobacteria the H increased from 0.975 to 1.293 (P < 0.05). Higher Sorenson’s pair wise similarity coefficient was observed for LAB and bifidobacteria during 2nd and the 3rd month. The species of the genera Enterococcus, Streptococcus, and Lactobacillus were dominant among the LAB group whereas Bifidobacterium breve was dominant species among Bifidobacterium group. CONCLUSIONS: Our results indicate that in breast fed infants, the microbial diversity of LAB and bifidobacteria increased during the period of study.
Bacteria* ; Bifidobacterium ; Biodiversity ; Breast ; Colon ; Electrophoresis ; Enterococcus ; Gastrointestinal Microbiome ; Humans ; India ; Infant* ; Lactic Acid* ; Lactobacillus ; Parturition ; Sequence Analysis ; Streptococcus

PURPOSE: To define early predictors of critical cases involving patients who visited the emergency department (ED) due to gas inhalation, with the goal of identifying patients who require intensive monitoring and treatment. METHODS: The retrospective study was carried out for patients who visited the ED at Ulsan University Hospital due to gas inhalation from March 2014 to February 2016. General demographics, mechanism of accident, critical symptoms, vital signs, blood lab test results, severity, and clinical manifestation were investigated. Patients were divided into a critical group and non-critical group, and predictors of critical cases were investigated by comparing both groups. RESULTS: Of the 180 patients, 26 patients were in the critical group. In this group, more patients displayed altered mentality and cardiac arrest (both p<0.001). The critical group also showed significantly higher fractions for low-blood pressure (systolic blood pressure<90 mmHg; p<0.001), number of critical symptoms (p<0.001), transport by emergency medical services (p=0.003), and consultation involving other departments (p<0.001). Patients in the critical group showed higher Korean Triage and Acuity Scale (KTAS) level (p<0.001), lactate value (p=0.001), and carboxy-hemoglobin value (p=0.017) as well as older age (p=0.001), lower pH (p=0.001), and HCO₃⁻ value (p<0.001). Multiple regression analysis revealed that predictors of critical cases were older age and higher KTAS level (both p<0.001). CONCLUSION: Patients admitted to the ED for treatment of gas inhalation, who were older and had a higher KTAS level, require intensive monitoring and treatment.
Blood Gas Analysis ; Demography ; Emergencies* ; Emergency Medical Services ; Emergency Medicine ; Emergency Service, Hospital* ; Heart Arrest ; Humans ; Hydrogen-Ion Concentration ; Inhalation* ; Lactic Acid ; Predictive Value of Tests ; Retrospective Studies ; Smoke Inhalation Injury ; Triage ; Ulsan ; Vital Signs

We report a case of primary central nervous system vasculitis (PCNSV) mimicking a cortical brain tumor. A 25-year-old woman presented with a 2-week history of headache and transient right hemiparesis. Brain magnetic resonance imaging (MRI) revealed a cortical-involving lesion on the left frontal lobe. The 6-cm sized lesion showed low signal intensity on T1-weighted images and high signal intensity on T2-weighted images. The lesion had continual linear enhancement on the subcortical white matter and leptomeninges. There was no evidence of hemorrhage on susceptibility-weighted images and no diffusion restriction on diffusion-weighted images. The regional cerebral blood volume was decreased on the MR perfusion images, and spectroscopy showed increased lactate and lipid peaks. The symptoms were aggravated by fever and seizures. Biopsy was performed to rule out tumorous or inflammatory lesions. Pathologically, lymphocytes were infiltrated on the vessels, and the arachnoid membrane was thickened with inflammatory cells. The patient did not have any underlying diseases, including immune disorders. After high-dose steroid administration, her symptoms improved. Two months later, brain MRI showed a reduction in the infiltration of the T2 hyperintensity lesion with subtle subcortical enhancement. We present a case of PCNSV involving the left frontal lobe, showing vasogenic edema, mass effect, and subcortical linear contrast enhancement without hemorrhage or infarction.
Adult ; Arachnoid ; Biopsy ; Blood Volume ; Brain Neoplasms* ; Brain* ; Central Nervous System ; Diffusion ; Edema ; Female ; Fever ; Frontal Lobe ; Headache ; Hemorrhage ; Humans ; Immune System Diseases ; Infarction ; Lactic Acid ; Lymphocytes ; Magnetic Resonance Imaging ; Membranes ; Paresis ; Perfusion ; Seizures ; Spectrum Analysis ; Steroids ; Vasculitis ; Vasculitis, Central Nervous System* ; White Matter