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Blood Gas Analysis

Blood Gas Analysis: A critical diagnostic tool for evaluating respiratory and metabolic function.
This process measures the levels of oxygen, carbon dioxide, and other gases in a patient's blood, providing vital insights into the body's respiratory and acid-base status.
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Most cited protocols related to «Blood Gas Analysis»

This study was a preplanned secondary analysis of a prospective registry of consecutive ED patients with severe sepsis with evidence of hypoperfusion treated with an institutional quantitative resuscitation protocol that is initiated in the ED at the time of recognition of sepsis (18 (link)). This study protocol was reviewed and approved by the institutional review board for the conduct of human research before enrollment of patients.
Subjects were enrolled from November 2005 through October 2007 in the ED at Carolinas Medical Center, an 800-bed teaching hospital with 120,000 ED patient visits per year. Explicit criteria for enrollment included 1) age >17 years; 2) suspected or confirmed infection; 3) two or more systemic inflammatory response syndrome criteria (19 (link)): heart rate >90 beats per minute, respiratory rate >20 breaths per minute, temperature >38°C or <36°C, white blood cell count >12,000 or <4000 cells/mm3 or >10% bands; and 4) systolic blood pressure <90 mm Hg or mean arterial pressure <65 mm Hg after a isotonic fluid bolus and anticipated need for ICU care, or a serum lactate concentration ≥4.0 mmol/L and anticipated need for ICU care. Exclusion criteria included 1) age <18 years; 2) need for immediate surgery; and 3) absolute contraindication for a chest central venous catheter.
Eligible subjects were identified by board-certified emergency physicians and were treated in the ED and medical ICU with an institution-approved quantitative resuscitation protocol that was previously described (20 (link)). All data elements required for calculation of the SOFA score at the time of ED recognition and resuscitation (T0) and 72 hours after ICU admission (T72), as well as hospital outcomes, were prospectively collected on standardized forms and entered into a database for later analysis. For T0 scores, only data available in the ED were used for calculation; and for T72 scores, data available within 12 hours of the 72-hour time point were used for calculation. To our knowledge, no physician in the ED had any independent knowledge of the SOFA score. For purposes of this study, we made one modification in the calculation of the respiratory component of the SOFA score (Table 1). We preferentially used the PaO2 to FIO2 ratio (PaO2/FIO2) when arterial blood gases were obtained. In cases where the PaO2 was not available, we used the peripheral arterial oxygen saturation (SaO2) to FIO2 ratio (SaO2/FIO2). This substitution has been previously validated with high correlation (21 (link)). The definitions of SOFA score variables were otherwise identical to those reported in the original publication by Vincent et al (17 (link)).
Publication 2009
Arteries Blood Gas Analysis Cells Chest Clinical Protocols Emergencies Ethics Committees, Research Homo sapiens Infection Inpatient Lactates Leukocyte Count Operative Surgical Procedures Patients Physicians Rate, Heart Respiratory Rate Resuscitation Saturation of Peripheral Oxygen Septicemia Serum Severe Sepsis Systemic Inflammatory Response Syndrome Systolic Pressure Venous Catheter, Central
All MRI measurements were performed on a 3T Siemens Tim Trio system (Siemens Medical Solutions, Erlangen, Germany) using a 12-channel head coil. The cylindrical container was placed in the scanner with its long axis parallel to the B0 field. A 2D gradient-recalled Echo (GRE) sequence was used to obtain axial phase maps with the following imaging parameters, voxel size: (voxel size =1×1×5 mm3, FOV = 76mm × 76 mm, flip angle = 25°, TE = 7.2ms, TR = 70ms, number of echoes = 2, echo spacing (ΔTE)= 2.5ms, total scan time ~11s). Phase difference (Δϕ) was computed by taking the difference of the phase images from the two echoes.
The susceptibility differences between various compartments (such as air, tissue etc.) cause field inhomogeneities and result in low spatial-frequency modulations of the phase signal. To minimize this interfering effect a retrospective correction method was implemented, which approximates the field inhomogeneity by a second-order polynomial. The compartments where oxygen saturation was to be determined were masked out and the phase difference image was weighted with the corresponding masked magnitude image. The robustness and accuracy of the method for quantifying susceptibility has been previously validated by some of the present authors (19 (link)). The experimental set-up, duplicated in the current work, consisted of an array of sample tubes filled with Gd-doped water of various concentrations and known volume susceptibilities.
The susceptibility difference (Δχ) between blood and water was computed from the phase difference (Δϕ) between an ROI placed inside the cross sectional area of each tube and the surrounding water as
Δχ=3ΔϕγB0ΔTE
Δχdo was obtained from the slope of Δχ/Hct, where Hct are the individual hematocrit levels, and the concentration of deoxy-Hb (1-HbO2) obtained from blood gas analysis (Eq 2):
ΔχHct=Δχdo(1HbO2)+Δχoxy
where Δχoxy is the susceptibility difference between fully oxygenated blood and water. In this model it is assumed that the χplasma~ χwater (14 (link)).
Publication 2011
BLOOD Blood Gas Analysis ECHO protocol Epistropheus Head Microtubule-Associated Proteins Oxygen Saturation Oxyhemoglobin oxytocin, 1-desamino-(O-Et-Tyr)(2)- Radionuclide Imaging Susceptibility, Disease Tissues TRIO protein, human Volumes, Packed Erythrocyte
Patients were seen every three months during years 1 and 2 post treatment and then every 6 months until 4 years post treatment. Imaging was required at each visit for response and toxicity assessment using CT scans. Follow-up PET scans were required if progressive soft tissue abnormalities where noted on CT. Pulmonary function tests (FEV-1, DLCO, and arterial blood gases) were to be performed every 3 months for year 1 posttreatment and every 6 months for year 2 post treatment. Tumor measurements at each follow-up were carried out using the Response Evaluation Criteria in Solid Tumors (RECIST)12 (link) where a complete response (CR) is total tumor disappearance and partial response (PR) is decrease in the longest tumor diameter by 30% or more.
The primary endpoint of the study was two-year actuarial primary tumor control. Primary tumor control was defined as the absence of primary tumor failure. Primary tumor failure was defined based on meeting both of two criteria: 1. Local enlargement defined as at least a 20% increase in the longest diameter of the gross tumor volume per CT, and 2. Evidence of tumor viability. Tumor viability could be affirmed by either demonstrating PET imaging with uptake of a similar intensity as the pretreatment staging PET, or by repeat biopsy confirming carcinoma. Primary tumor failure included marginal failures occurring within 1 cm of the planning target volume (1.5-2.0 cm from the gross tumor volume). Failure beyond the primary tumor but within the involved lobe was collected separately from disseminated failure within uninvolved lobes. Local failure is the combination of primary tumor and involved lobe failure with local control being the absence of local failure.
Secondary endpoints included assessments of treatment-related toxicity, disease free survival and overall survival. Disease-free survival included separate assessments of local-regional failure (within the primary site, involved lobe, hilum, and mediastinum) and disseminated recurrence (failure beyond the local and regional sites).
The National Cancer Institute’s Common Toxicity Criteria (CTC) Version 3.0 was used for grading of adverse events13 (link). Certain adverse events attributable to study therapy were specified prospectively within the protocol for use in evaluating the secondary endpoint of treatment related toxicity including grade 3 measures of lung injury, esophageal injury, heart injury, and nerve damage as well as any grade 4-5 toxicity felt related to treatment. However, all adverse events reported by participating centers were collected and assessed.
Publication 2010
Arteries Biopsy Blood Gas Analysis Carcinoma Congenital Abnormality Feelings Heart Injuries Hypertrophy Injuries Lung Injury Mediastinum Neoplasms Nervousness Patients Recurrence Tests, Pulmonary Function Tissues Vision X-Ray Computed Tomography
The SARS-CoV-2 strain 107 was obtained from the Guangdong Provincial CDC, Guangdong, China. Young ChRMs (#15011, #15333, #15335, and #15341) and aged ChRMs (#01055, #02059, #03055, and #04305) (Figure 1A) were intratracheally inoculated with 1×107 TCID50 SARS-CoV-2 in a 2 mL volume by bronchoscope. The animals were anaesthetized by Zoletil 50 (Virbac, France) and then used in the following experimental procedures. Body weight, rectal temperature, breathing rate, X-ray, serum biochemistry tests, routine blood tests, peripheral blood collection, peripheral blood mononuclear cell (PBMC) collection, nose swab collection, throat swab collection, and rectal swab collection were performed before SARS-CoV-2 infection and at 1, 3, 5, 7, 9, 11, 13, and 15 days post infection (dpi). Tracheal brush collection and blood gas analysis were performed before SARS-CoV-2 infection and at 3, 7, 11, and 15 dpi. Young (#15011 and #15335) and aged ChRMs (#02059 and #04305) were euthanized on 7 dpi and other animals on 15 dpi (Figure 1). All seven lung lobes were collected after left heart perfusion with pre-cooled phosphate-buffered saline (PBS).
Publication 2020
Animals Blood Blood Gas Analysis Body Weight Bronchoscopes COVID 19 Heart Hematologic Tests Infection Lung Nose PBMC Peripheral Blood Mononuclear Cells Perfusion Pharynx Phosphates Radiography Rectum Respiratory Rate Saline Solution SARS-CoV-2 Serum Strains Trachea Zoletil

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Publication 2020
Adrenal Cortex Hormones Anti-Bacterial Agents Antiviral Agents Arteries Arthralgia Blood Gas Analysis Blood Pressure Cerebrovascular Disorders Chest Pain chrysarobin Cough COVID 19 Critical Illness Dementia Diabetes Mellitus Disease, Chronic Dyspnea Fever Headache Heart Heart Diseases Immunoglobulins Infection Lactate Lung Lung Diseases Lymphocyte Count Malignant Neoplasms Malnutrition Mechanical Ventilator Myalgia Oxygen Partial Pressure Patient Admission Patients Platelet Counts, Blood Positive End-Expiratory Pressure Rate, Heart Respiratory Rate Rhinorrhea Signs, Vital Therapies, Oxygen Inhalation X-Rays, Diagnostic

Most recents protocols related to «Blood Gas Analysis»

The following data were recorded during the preoperative examination: Sex, age, height, body weight, BMI, smoking history, complete blood count (leukocytes, hemoglobin, platelets), liver function tests (liver enzymes, albumin), renal function tests, preoperative oxygen saturation, history of previous surgery, and concomitant diseases (type 2 diabetes, hypertension, pulmonary and cardiac diseases).
The following data were also collected: History and physical examination findings, chest radiographs, computed tomographic examinations of the chest (CT), electrocardiography (ECG) and echocardiography (if required), pulmonary function test results (forced expiratory volume (FEV1), forced vital capacity (FVC), and FEV1/FVC ratio), and arterial blood gases. In patients with lung cancer, the type and stage of malignancy were determined, and flexible bronchoscopy was performed.
During the intraoperative process, the type of endotracheal tube, the duration of anesthesia and surgery, the surgical procedure (VATS, thoracotomy, mediastinoscopy, and others) performed, and complications that required intraoperative treatment were also noted.
PPCs have been defined as complications that occur in the postoperative period and cause clinical conditions.
Publication 2023
Albumins Anesthesia Arteries Blood Gas Analysis Blood Platelets Body Weight Bronchoscopy Chest Complete Blood Count concomitant disease Diabetes Mellitus, Non-Insulin-Dependent Echocardiography Electrocardiography Enzymes Exhaling Forced Vital Capacity Heart Diseases Hemoglobin High Blood Pressures Kidney Function Tests Leukocytes Liver Liver Function Tests Lung Lung Cancer Mediastinoscopy Operative Surgical Procedures Oxygen Saturation Patients Physical Examination Radiography, Thoracic Staging, Cancer Tests, Pulmonary Function Thoracic Surgery, Video-Assisted Thoracotomy Training Programs Volumes, Forced Expiratory X-Ray Computed Tomography
All data were entered into an Excel sheet and analyzed using SPSS 23.0 version. Descriptive statistics for numerical variables were calculated as the mean and standard deviation for normal distribution and median (IQR) for non-normal distribution, whereas percentages for qualitative variables. Agreement between arterial and venous blood gas analysis parameters was done using the Bland–Altman plot. Pearson correlation coefficients were applied to estimate the correlation between arterial and venous blood gas analysis parameters for Gaussian distribution and the Spearman correlation coefficient for non-Gaussian distribution. Arterial parameters were predicted from venous samples using linear regression.
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Publication 2023
Arteries Blood Gas Analysis Veins
The following data were collected: demographic information, comorbidities, complications, D-dimer level, Simplified Acute Physiology Score (SAPS III), Sequential Organ Failure Assessment (SOFA) score, PaO2/FiO2 ratio, Body Mass Index (BMI), comorbidities, and use of anticoagulants and vasopressors. SAPS III and SOFA scores considered for analysis were calculated at the Intensive Care Unit (ICU) admission. D-dimer levels were evaluated using the HemosIL HS-500 automated immunoassay (HemosIL® D-dimer HS 500, Instrumentation Laboratory, 80003610270, Instrumental Laboratory Company, Bedford, MA, USA).
Comorbidities were assessed, including immunosuppression, arterial hypertension, diabetes, obesity, smoking, alcohol consumption, and neurological, hematological, respiratory, and cardiovascular diseases. Furthermore, immunosuppression was defined as a history of organ transplantation, chronic kidney disease, HIV infection, AIDS, and cancer treatment.
Clinical data included arterial blood gas analysis before and after the first prone session. In addition, the time until the first prone positioning, duration of the first prone session (in hours), number of prone sessions, and complications related to prone positioning were also collected. The time between the first intubation and the prone session was considered the first prone position. Unfortunately, due to hospital bed overload, it was impossible to collect data for blood gas analysis from the health staff on time. Therefore, the data considered for the analysis were obtained closest to the beginning and end of the first prone session.
Ventilator settings and respiratory mechanics calculations, such as Driving Pressure (DP), Plateau Pressure (Pplat), and respiratory system static Compliance (Cst), were collected before and after the first prone session. The total duration of the first prone session and a number of prone cycles were recorded. Furthermore, adverse effects, such as decreased oxygenation level, accidental extubation, central venous or arterial line removal, hemodynamic instability, acute arrhythmia, cardiopulmonary arrest, and vomiting, were recorded. Patient outcomes, including duration of invasive mechanical ventilation, length of hospital and ICU stay, reintubation, and survival, were also recorded.
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Publication 2023
Accidents Acquired Immunodeficiency Syndrome Anticoagulants Arterial Lines Arteries BLOOD Blood Gas Analysis Cardiac Arrhythmia Cardiopulmonary Arrest Cardiovascular Diseases Chronic Kidney Diseases Diabetes Mellitus fibrin fragment D Hemodynamics High Blood Pressures HIV Infections Immunoassay Immunosuppression Index, Body Mass Intubation Malignant Neoplasms Mechanical Ventilation Obesity Organ Transplantation Patients Pressure Respiratory Depression Respiratory Mechanics Respiratory Rate Respiratory System Tracheal Extubation Vasoconstrictor Agents Veins
The human study was approved as stated in the ethics statement. The samples used in the present studies were obtained from HIV-negative individuals. These human samples were procured from the period 2009–2010, and therefore were from the time before the onset of the COVID-19 pandemic. M. tuberculosis-infected human lung tissues are routinely obtained following surgery for removal of irreversibly damaged lobes or lungs (bronchiectasis and/or cavitary lung disease). Patients were assessed for extent of pulmonary disease (cavitation and or bronchiectasis) via HRCT. The fitness of each patient to withstand a thoracotomy and lung resection was determined by Karnofsky score, six-minute walk test, spirometry, and arterial blood gas. Assessment of patients with massive hemoptysis included their general condition, effort tolerance prior to hemoptysis, arterial blood gas measurement, serum albumin level and HRCT imaging of the chest. On gross assessment, all pneumonectomies or lobectomies were bronchiectatic, hemorrhagic, variably fibrotic and atelectatic and contained visible tubercles (Table 1). Written informed consent was obtained from patients recruited from King DinuZulu Hospital Complex, a tertiary center for TB patients in Durban, South Africa. Detailed methods for histopathological studies, including histology slide digitization and protocols for immunohistochemistry are presented in S1 Text.
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Publication 2023
6-Minute Walk Test Arteries Atelectasis Blood Gas Analysis Bronchiectasis Chest COVID 19 Fibrosis Hemoptysis Hemorrhage Homo sapiens Immune Tolerance Immunohistochemistry Lung Lung Diseases Mycobacterium tuberculosis Operative Surgical Procedures Patients Pneumonectomy Serum Albumin Spirometry Thoracotomy Tissues
The hematological parameters of 1,688 patients diagnosed with lung cancer and underwent surgical resection from the First Affiliated Hospital of Guangzhou Medical University from February 2010 to July 2018 were retrospectively evaluated. All samples of primary surgery patients who had not undergone anti-tumor therapy were obtained from the last preoperative blood test. Ninety-three patients with abnormally high or low results were excluded. The following results were included for analysis: routine blood tests, biochemical tests, coagulation function tests, arterial blood gas analysis, lipid profile, renal function, electrolyte levels, serum tumor markers, and blood pressure. In addition, the last blood index results of 197 consecutive patients with NSCLC in the Cancer Center of Sun Yat-sen University from December 2015 to May 2016 and 147 patients diagnosed with colorectal cancer in our center at 2015 to 2016 were selected as verification cohorts. The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). This study was confirmed and approved by the Ethics Committee of the First Affiliated Hospital of Guangzhou Medical University (No. 2015-25). Since the study was a retrospective analysis of the patient database, the requirement for informed consent of each patient was waived.
Publication 2023
Arteries BLOOD Blood Gas Analysis Blood Pressure Colorectal Carcinoma Electrolytes Ethics Committees, Clinical Hematologic Tests Kidney Lipids Lung Cancer Malignant Neoplasms Neoplasms Non-Small Cell Lung Carcinoma Operative Surgical Procedures Patients Serum Tests, Blood Coagulation Therapeutics Tumor Markers

Top products related to «Blood Gas Analysis»

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The GEM Premier 3000 is a blood gas and electrolyte analyzer designed for use in clinical laboratories. It provides automated analysis of various parameters, including pH, blood gases, and electrolytes, in patient samples.
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The RAPIDPoint 500 is a blood gas analyzer designed for clinical laboratory settings. It provides rapid and accurate measurements of key blood parameters, including pH, blood gases, and electrolytes. The RAPIDPoint 500 is intended to assist healthcare professionals in the diagnosis and management of patients with respiratory or metabolic disorders.
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The I-STAT analyzer is a portable, handheld device used for point-of-care diagnostic testing. It is capable of analyzing various clinical chemistry and hematology parameters from a small sample of blood or other bodily fluids.
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More about "Blood Gas Analysis"

Blood gas analysis is a critical diagnostic tool that provides vital insights into the body's respiratory and metabolic function.
This process measures the levels of oxygen (O2), carbon dioxide (CO2), and other important gases in a patient's blood, allowing healthcare providers to assess the body's acid-base balance and respiratory status.
The I-STAT, GEM Premier 3000, RAPIDPoint 500, and Cobas b221 are some of the commonly used blood gas analyzers in clinical settings.
By analyzing blood gas levels, clinicians can detect and monitor conditions like respiratory distress, metabolic disorders, and acid-base imbalances.
The I-STAT 1 Analyzer and 78833B monitor are examples of portable devices that enable quick and convenient bedside testing.
Blood gas analysis is essential for managing patients with conditions like chronic obstructive pulmonary disease (COPD), asthma, and sepsis, as well as for monitoring patients during surgical procedures and in intensive care units.
Advanced AI-powered tools like PubCompare.ai can streamline the blood gas analysis workflow by helping researchers and clinicians optimize their protocols, compare products, and enhance their workflow efficiency.
By leveraging the power of Finalgon and PowerLab, PubCompare.ai can assist in identifying the best protocols and products for your blood gas analysis needs, taking your research and patient care to new heights.