Blood gas analysis as a surrogate for microhemodynamic monitoring in sepsis

BACKGROUND:Emergency patients with sepsis or septic shock are at high risk of death.Despite increasing attention to microhemodynamics,the clinical use of advanced microcirculatory assessment is limited due to its shortcomings.Since blood gas analysis is a widely used technique reflecting global oxygen supply and consumption,it may serve as a surrogate for microcirculation monitoring in septic treatment.METHODS:We performed a search using PubMed,Web of Science,and Google scholar.The studies and reviews that were most relevant to septic microcirculatory dysfunctions and blood gas parameters were identified and included.RESULTS:Based on the pathophysiology of oxygen metabolism,the included articles provided a general overview of employing blood gas analysis and its derived set of indicators for microhemodynamic monitoring in septic care.Notwithstanding flaws,several parameters are linked to changes in the microcirculation.A comprehensive interpretation of blood gas parameters can be used in order to achieve hemodynamic optimization in septic patients.CONCLUSION:Blood gas analysis in combination with clinical performance is a reliable alternative for microcirculatory assessments.A deep understanding of oxygen metabolism in septic settings may help emergency physicians to better use blood gas analysis in the evaluation and treatment of sepsis and septic shock.

An investigation of the effects of dust storms on rat lung using HRCT and blood gas analysis

The increasing intensity and frequency of sand-dust storms in China has led to greater prominence of associated environmentaland health issues. Many studies have focused on the health effects of air particulate contaminants, but fewformal investigations have studied the effects of sand-dust storms on human and animal health. The aim of this study wasto investigate the effects of dust storms on rat lung by using high resolution computed tomography （HRCT） and blood gasanalysis through a wind tunnel simulating. We found that the rat lung damage effects can be detected by the HRCT imagingafter exposure to sand-dust storm environments, but had no obvious result through blood gas analysis. Exposure durationspositively correlated with the damage degree to lung tissue. These will provide some evidence for clinical diagnosis ofnon-occupational pneumoconiosis.

Detection and Analysis of Routine Blood Indexes in Guike Pig

[Objectives] In this study,routine blood indexes of Guike pig were detected to clarify quantity variation and morphology distribution of different functional cells（ red blood cells,white blood cells and platelets）,thus providing reference data for immunological evaluation and disease resistance research of Guike pig. [Methods] Blood samples were collected from forty-four 49-day-old healthy Guike pigs（ 22 males and 22 females） once a week for seven consecutive weeks to detect routine blood indexes,and the results were compared with routine blood indexes of Landrace pig and Enshi black pig. [Results]Among red blood cell indexes of Guike pig at different day ages,red blood cell count（ RBC） and hemoglobin count（ HGB） both reached the lowest levels（ 6. 85 × 10^12/L and 97. 1 g/L）at 70 days of age,which were significantly lower than the corresponding indexes at 49,56,63,84 and 91 days of age（ P 〈 0. 05,similarly hereinafter）; mean corpuscular hemoglobin（ MCH） and mean corpuscular hemoglobin concentration（ MCHC） demonstrated basically the same variation pattern,which both reached the lowest levels（ 15. 11 pg and 275. 70 g/L） at 70 days of age and reached the highest levels（ 16. 40 pg and 314. 30 g/L） at 91 days of age; hematocrit（ HCT）,mean corpuscular volume（ MCV） and red blood cell distribution width（ RDW） exhibited relatively stable changes with no significant differences among different day ages（ P 〉 0. 05,similarly hereinafter）. Among white blood cell indexes of Guike pig at different day ages,white blood cell count（ WBC） reached the lowest level（ 13. 71 × 10^9/L） at 63 days of age and reached the highest level（ 17. 52 × 10^9/L） at 84 days of age,with significant differences; neutrophil count（ NEUT）reached the lowest level（ 3. 61 × 10^9/L） at 70 days of age,which was significantly lower than that at 49,56 and 77 days of age; lymphocyte count（ LYMPH） exhibited relatively stable changes and was not significantly affected by the increase in day age. Among platelet indexes of Guike pig at different day ages,platelet count（ PLT）,thrombocytocrit（ PCT） and platelet volume distribution width（ PDW） exhibited relatively stable changes among different day ages,which were not significantly affected by the increase in day age. Compared to 35-day-old Landrace pig and 5-month-old Enshi black pig,most routine blood indexes of Guike pig were similar to or ranged between those of Landrace pig and Enshi black pig except HCT,mean platelet volume（ MPV）,PCT and PDW. [Conclusions]Guike pig has a certain uniqueness in routine blood indexes,which has developed a stable immune system at 49-91 days of age.

Hemodynamic Analysis and Diagnosis Based on Multi-Deep Learning Models

This study employs nine distinct deep learning models to categorize 12,444 blood cell images and automatically extract from them relevant information with an accuracy that is beyond that achievable with traditional techniques.The work is intended to improve current methods for the assessment of human health through measurement of the distribution of four types of blood cells,namely,eosinophils,neutrophils,monocytes,and lymphocytes,known for their relationship with human body damage,inflammatory regions,and organ illnesses,in particular,and with the health of the immune system and other hazards,such as cardiovascular disease or infections,more in general.The results of the experiments show that the deep learning models can automatically extract features from the blood cell images and properly classify them with an accuracy of 98%,97%,and 89%,respectively,with regard to the training,verification,and testing of the corresponding datasets.

Effects of Hyperventilation on Venous-Arterial Bicarbonate Concentration Difference: A Possible Pitfall in Venous Blood Gas Analysis

Objectives: Recent reports on venous blood gas analysis have shown that venous bicarbonate concentration is useful in the evaluation of the body acid-base status. Most of these reports have been based on the Bland-Altman analysis comparing arterial and venous blood gas values. We intended to elucidate any factors that decrease the agreement between venous and arterial bicarbonate concentrations, which might impair the usefulness of venous blood gas analysis. Methods: Healthy volunteers and patients with various diseases (n = 141) were evaluated by simultaneous arterial and venous blood sampling and Bland-Altman analysis. The venous-arterial bicarbonate concentration difference was compared between healthy volunteers and untreated respiratory alkalosis patients. Intentional hyperventilation (30 or 60 breaths/min, for 3 min) was also performed on 6 healthy volunteers and the venous-arterial bicarbonate concentration difference was evaluated. Results: The relative average bias in bicarbonate concentration was 2.00 mEq/l with venous bicarbonate higher than arterial bicarbonate with 95% limits of agreement of ±4.15 mEq/l. Hyperventilation challenges increased the venous-arterial bicarbonate concentration difference in an intensity-dependent manner. The venous-arterial bicarbonate concentration difference was higher in untreated respiratory alkalosis patients than in healthy volunteers (P Conclusion: Although venous bicarbonate may be useful to evaluate the body acid-base status, hyperventilation increases the venous-arterial bicarbonate concentration difference. Physicians should keep this phenomenon in mind.

Determination of creatinine level in patient blood samples by Fourier NIR spectroscopy and multivariate analysis in comparison with biochemical assay

In this paper,in vivo spectra from 23 patients'blood samples with various Creatinine(Cr)concentration levels ranging from 0.96 to 12.5 mg/dL were measured using Fourier transform near-infrared spectrometer(FT-NIRS)and spectrum quantitative analysis method.Since Cr undergoes passive filtration,it serves as a key biomarker of kidneys function via the estimation of glomerular filtration rate.Thus,increased blood Cr concentration reflects impaired renal func-tion.After spectra pre processing and outlier exclusion,a spectral model was developed based on partial least squares regression(PLSR)method,wherein Cr concentrations correlated with filtered NIR spectra across several peaks,where Cr is know n to absorb NIR light.Several statistical metrics were applied to estimate the model efficiency during data analysis.Comparison of spectra-derived concentrations to reference Cr measurements by the current gold-standard Jaffe's method held in hospital lab revealed a Cr prediction accuracy of 1.64 mg/dL with good corre-lation of R=0.9.Bland-Altman plots were used to compare between our calculations and ref-erence lab values and reveal minimal bias between the two.The finding presented the potential of FT-NIRS coupled with PLSR technique for Cr determination.

Risk Evaluation in Blood Donation Using Failure Mode and Effective Analysis

The recognition and management of risk in donation process and blood product is critical to ensure donor and patient safety. To achieve this goal, the failure mode and effects analysis (FMEA) is a convenient method;moreover it was used to prevent the occurrence of adverse events and look at what could go strong at each step. This study aimed to utilize FMEA in central blood bank in Khartoum to evaluate the potential risk and adverse event that may occur during the donation process. According to the severity, occurrence and the detection of each failure mode, the risk priority number (RPN) was calculated to determine which of the failures should take priority to find a solution and applying corrective action to reduce the failure risk. The statistical package for social sciences (SPSS) version 11 was used as descriptive and analytical statistics tool. The FMEA technique provides a systematic method for finding vulnerabilities in a process before they result in an error, and in this study a satisfactory outcome was reached.

Bioinformatics Analysis Raises Candidate Genes in Blood for Early Screening of Parkinson's Disease

Parkinson＇s disease （PD） is a typical degenerative disease, which is characterized by the most obvious symptoms of movement dysfunction, including shaking, rigidity, slowness of movement and difficulty in walking and gait. This disease can not be clearly identified through laboratory tests at present, thus application of high-throughput technique in studying the expression profiles of PD helps to find the genetic markers for its early diagnosis. Studies on expression profiles of neurodegenerative diseases have revealed the novel genes and pathways involved in the progress of illness. In this study, the expression profiles of PD in blood were compared, showing that 181 differentially expressed genes （DEG） exhibit a similar expression trend both in patients and in normal controls.

Effect of blood gas analysis in patients with bed rest and blood sampling through the dorsal artery:A meta-analysis

Objective:To systematic evaluation by the dorsalis pedis artery puncture for bed patients blood gas analysis of application effect of impact.Methods:A randomized controlled trial of the effect of arterial blood extraction on blood gas analysis in PubMed,CNKI,Wanfang database and VIP database.After selecting the literature,extracting the data and evaluating the quality of the literature.Meta- analysis was carried out by RevMan 5.3 software.Results:Twelve randomized controlled trials were included and 1696 patients were enrolled.After meta-analysis,the arterial puncture can effectively improve the success of arterial puncture in patients with bed [Z = 5.78,95%CI(1.90,3.66),P<0.001],reduce the occurrence of hematoma [Z = 4.27,95%CI(0.19,0.54),P<0.001],reduce the mistaken into the vein [Z = 4.60,95%CI(0.08,0.36),P<0.001],reduce cyanosis [Z = 2.84,95%CI(0.23,0.81),P<0.008],the difference was statistically significant.Conclusion:Dorsalis pedis artery puncture can improve the success rate of blood gas analysis in bedridden patients,reduce the incidence of hematoma and the incidence of venous leakage,and can be widely used in clinical practice.

Effects of Suhuang Zhike Capsule on Pulmonary Function, Blood Gas Analysis Index, Serum PCT and CRP Expression in Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease

OBJECTIVE: To observe the effects of Suhuang Zhike Capsule on pulmonary function, blood gas analysis index, serum PCT and CRP expression in patients with acute exacerbation of chronic obstructive pulmonary disease. METHODS: A total of 88 patients with acute exacerbation of chronic obstructive pulmonary disease admitted to the Department of Respiratory Medicine, Xuancheng People's Hospital of Anhui Province from December 2014 to December 2016 were randomly divided into the observation group and the control group, with 44 cases in each group. The control group was given routine clinical treatment, and the observation group was given Suhuang Zhike Capsule on the basis of the treatment method of the control group. After 7 days' treatment, the improvement of lung function indexes were observed and evaluated before and after treatment(forced expiratory volume in one second(FEV_1), forced expiratory volume occupancy in the 1^(st) second percentage of vital capacity(FEVl/FVC), peak expiatory flow(PEF)), blood gas analysis index(Arterial oxygen partial pressure(PaO_2) and arterial blood carbon dioxide partial pressure(PaCO_2), oxygenation index(OI)) and serum cytokine levels(procalcitonin(PCT) and C reactive protein(CRP). RESULTS: The total effective rate of the observation group was significantly higher than that of the control group(P < 0.05). The FEV_1, FEV_1/FVC and PEF in 2 groups were significantly increased after the treatment(P < 0.05), and the above lung function indexes in the observation group were significantly higher than the control group(P < 0.05). PaO_2 and OI were significantly increased after the treatment(P < 0.05), PaCO_2 was significantly decreased after the treatment(P < 0.05), and the improvement of above blood gas analysis indexes were significantly superior of the observation group than the control group(P < 0.05). The serum PCT and CRP levels in 2 groups were significantly decreased after the treatment(P < 0.05), and the improvement in the observation group were more significant than that in the control group(P < 0.05). CONCLUSION: Suhuang Zhike Capsule can inhibit serum inflammatory cytokine levels in patients with acute exacerbation of chronic obstructive pulmonary disease, improve blood gas analysis indicators, and improve lung functions.

Peripheral blood RNA biomarkers can predict lesion severity in degenerative cervical myelopathy

Degenerative cervical myelopathy is a common cause of spinal cord injury,with longer symptom duration and higher myelopathy severity indicating a worse prognosis.While numerous studies have investigated serological biomarkers for acute spinal cord injury,few studies have explored such biomarkers for diagnosing degenerative cervical myelopathy.This study involved 30 patients with degenerative cervical myelopathy(51.3±7.3 years old,12 women and 18 men),seven healthy controls(25.7±1.7 years old,one woman and six men),and nine patients with cervical spondylotic radiculopathy(51.9±8.6 years old,three women and six men).Analysis of blood samples from the three groups showed clear differences in transcriptomic characteristics.Enrichment analysis identified 128 differentially expressed genes that were enriched in patients with neurological disabilities.Using least absolute shrinkage and selection operator analysis,we constructed a five-gene model(TBCD,TPM2,PNKD,EIF4G2,and AP5Z1)to diagnose degenerative cervical myelopathy with an accuracy of 93.5%.One-gene models(TCAP and SDHA)identified mild and severe degenerative cervical myelopathy with accuracies of 83.3%and 76.7%,respectively.Signatures of two immune cell types(memory B cells and memory-activated CD4^(+)T cells)predicted levels of lesions in degenerative cervical myelopathy with 80%accuracy.Our results suggest that peripheral blood RNA biomarkers could be used to predict lesion severity in degenerative cervical myelopathy.

Clinical significance of coagulation function combined with blood gas analysis and serum NT-proBNP detection in COPD patients

Objective:To investigate the clinical significance of coagulation function, blood gas analysis and serum N-terminal pro-brain natriuretic peptide (NT-proBNP) level detection in patients with chronic obstructive pulmonary disease (COPD).Methods: A total of 98 cases of COPD patients were selected and divided per different disease courses. For COPD acute exacerbation (AECOPD) stage, 53 patients were selected and set as group A. 45 cases of COPD patients in COPD stable stage were set as group B, and 50 cases of healthy people who received physical examination in our hospital in the corresponding period were collected and set as healthy controls (group C). Levels of PT, APTT, TT, Fbg, D-D, PaCO2, PaO2 and serum NT-proBNP in the whole 3 groups of patients were detected. Differences of index levels among the 3 groups and between before and after treatment in AECOPD patients were compared separately. The correlations of NT-proBNP, coagulation relevant indexes and arterial blood gas relevant indexes were analyzed.Results: (1) PT, APTT in group A and PT, APTT in group B were obviously longer than which in group C, and group A showed more significant variations. (2) Fbg, D-D, PaCO2, NT-proBNP in group A and Fbg, D-D, PaCO2, NT-proBNP in group B were obviously higher than which in group C;But PaO2 in group A and PaO2 in group B were significantly lower than which in group C;Group A showed more significant variations. (3) After treatment, PT and APTT in AECOPD patients were shorter than which before treatment, Fbg, D-D, PaCO2 and NT-proBNP were lower than before treatment, but PaO2 was higher than before treatment. (4) TT in group A were significantly longer than in group C, and differences showed no significance on comparison of TT between patients of group A and B, B and C and within A before and after treatment. (5) NT-proBNP in COPD patients showed significantly positive correlation separately with APTT, Fbg, D-D and PaCO2, showed significantly negative correlation with PaO2, but showed no obvious correlation with PT.Conclusion: Coagulation function and blood gas analysis combined with serum NT-proBNP level detection could better judge the severity of COPD. It shows significant reference value on clinical diagnosis, disease monitoring and evaluation for COPD patients.

Clinical significance of peripheral blood immune cells in patients with gastric cancer after surgery

BACKGROUND Gastric cancer is one of the most common malignant tumors worldwide,and surgical resection is one of the main ways to treat gastric cancer.However,the immune status of postoperative patients is crucial for prognosis and survival,and immune cells play an important role in this process.Therefore,it is helpful to understand the immune status of postoperative patients by evaluating the levels of peripheral blood immune cells,especially total T cells(CD3+),helper T cells(CD3+CD4+),and suppressor T cells(CD3+CD8+),and its relationship to sur-vival.AIM To analyzed the immune cells in peripheral blood of patients with gastric cancer after surgery,detect the levels of total T cells,helper T cells and suppressor T cells.METHODS A total of 58 patients with gastric cancer who received surgical treatment were included in the retrospective study.Flow cytometry was used to detect the level of peripheral blood immune cells and analyze the correlation between total T cells,helper T cells and inhibitory T cells.To explore the relationship between these immune markers and patient survival.RESULTS The results showed that the levels of total T cells,helper T cells,and suppressor T cells changed in patients after gastric cancer surgery.There was a significant positive correlation between total T cells,helper T cells and suppressor T cells(r=0.35,P<0.01;r=0.56,P<0.01).However,there was a negative correlation between helper T cells and suppressor T cells(r=-0.63,P<0.01).Follow-up showed that the survival rate of patients in the high-level total T cell group was significantly higher than that in the low-level group(28.87±24.98 months vs 18.42±16.21 months).The survival curve shows that the curve of patients in the high-level group is shifted to the upper right,and that of the low-level group is shifted downward.There was no significant difference between the levels of helper T cells and suppressor T cells and patient survival time.CONCLUSION By detecting peripheral blood immune cells with flow cytometry,we can initially evaluate the immune status of patients after gastric cancer surgery and initially explore its relationship with patient survival.

Optimization of Dry Ashing of Whole Blood Samples for Trace Metal Analysis

Dry ashing is an established method. Ashing whole blood samples are, however, often difficult to carry out with significant sample loss, and the procedure is not well documented. A new procedure has been devel- oped and optimized to dry-ash whole blood samples for trace metal analyses. The procedure reduces both the dry-ashing time by more than two thirds and sample loss. The ashed sample can be readily used in subse- quent, simultaneous or individual analysis of several metals by ICP-OES, as demonstrated in the analysis of a whole blood sample. The new procedure is simple, inexpensive, and faster than the established method.

Cardiovascular age of aviation personnel: based on the principal component analysis of heart rate and blood pressure variability

Objective: To introduce a method to calculate cardiovascular age, a new, accurate and much simpler index for assessing cardiovascular autonomic regulatory function, based on statistical analysis of heart rate and blood pressure variability (HRV and BPV) and baroreflex sensitivity (BRS) data. Methods: Firstly, HRV and BPV of 89 healthy aviation personnel were analyzed by the conventional autoregressive (AR) spectral analysis and their spontaneous BRS was obtained by the sequence method. Secondly, principal component analysis was conducted over original and derived indices of HRV, BPV and BRS data and the relevant principal components, PCi orig and PCi deri (i=1, 2, 3,...) were obtained. Finally, the equation for calculating cardiovascular age was obtained by multiple regression with the chronological age being assigned as the dependent variable and the principal components significantly related to age as the regressors. Results: The first four principal components of original indices accounted for over 90% of total variance of the indices, so did the first three principal components of derived indices. So, these seven principal components could reflect the information of cardiovascular autonomic regulation which was embodied in the 17 indices of HRV, BPV and BRS exactly with a minimal loss of information. Of the seven principal components, PC2 orig , PC4 orig and PC2 deri were negatively correlated with the chronological age ( P <0 05), whereas the PC3 orig was positively correlated with the chronological age ( P <0 01). The cardiovascular age thus calculated from the regression equation was significantly correlated with the chronological age among the 89 aviation personnel ( r =0.73, P <0 01). Conclusion: The cardiovascular age calculated based on a multi variate analysis of HRV, BPV and BRS could be regarded as a comprehensive indicator reflecting the age dependency of autonomic regulation of cardiovascular system in healthy aviation personnel.

Logistic Regression Analysis the Risk Factors of Peripherally Inserted Central Catheter Related Blood Stream Infection of Tumor Patients

Objective: Our object is to study risk factors of tumor patients’ PICC catheter-related blood stream infection. Method: a retrospective analysis of data of 586 PICC catheterized patients was implemented, a univariate analysis of general data and catheterizing data of tumor patients was then carried out, and data of single factors with statistical significance were incorporated into multi-factor Logistic regression model for analysis. Results: PICC catheter-related blood stream infection occurred to 16 patients, and occurrence rate was 2.73%. Multi-factor Logistic regression analysis results showed that number of puncturing times, positioning method and maintenance frequency were risk factors for tumor patients’ peripherally inserted central catheter catheter-related blood stream infection, and odds risk values were respectively 8.762, 9.253 and 10.324. Conclusion: for tumor patients implanted with peripherally inserted central catheters, using ECG positioning during strict sterile operation and catheterizing process to avoid repeated puncturing and increasing maintenance frequency could effectively reduce occurrence of PICC catheter-related blood stream infection.

UHAS-MIDA Software Package: Mass Isotopomer Distribution Analysis-Applying the Inverse Matrix for the Determination of Stable Isotopes of Chromium Distribution during Red Blood Cell Labelling

Clinical assessment of fluid volume status in children during malaria can be taxing and often inaccurate. During malaria, changes in fluid volume are rather multifarious and estimating this parameter, especially in sick children is very challenging for clinicians who frequently rely on indices such as long capillary refill times, tachycardia, central venous pressure and decreased urine volume as guides. Here, we present the UHAS-MIDA, an open-source software tool that calculates the red blood cell (RBC) concentration and blood volume during malaria in children determined using a stable isotope of chromium (53Cr as the label) by gas chromatography-mass spectrometry in selective ion monitoring (GC/MS-SIM) analysis. A key component involves the determination of the compositions of the most abundant naturally occurring isotopes of Cr (50Cr, 52Cr, 53Cr), and converting the proportions into a 3 × 3 matrix. To estimate unknown proportions of chromium isotopic mixtures from the measured abundances of three ions, an inverse matrix was calculated. The inverse together with several inputs is then used to calculate the corrected MS ion abundances. Thus, we constructed the software tool UHAS- MIDA using HTML, CSS/Bootstrap, JavaScript, and PHP scripting languages. The tool enables the user to efficiently determine RBC concentration and fluid volume. The source code, binary packages and associated materials for UHAS-MIDA are freely available at https://github.com/bentil078/Abaye-et-al_UHASmida