Serious acid-base disorder or life-threatening arrhythmia in patients with ABO-incompatible liver transplantation who received therapeutic plasma exchange : A report of two cases

Background: Excessive citrate load during therapeutic plasma exchange (TPE) can cause metabolic alkalosis with compensatory hypercarbia and electrolyte disturbances. If TPE is required immediately before ABO-incompatible (ABOi) liver transplant (LT) surgery, metabolic derangement and severe electrolyte disturbance could worsen during LT anesthesia.Case: We report two ABOi LT cases who received TPE on the day of surgery because isoagglutinin titers did not be dropped below 1:8. One case had a surprisingly high metabolic alkalosis with a pH of 7.73 immediately after tracheal intubation because of hyperventilation during mask bagging. The other experienced sudden ventricular tachycardia and blood pressure drop after surgical incision accompanied with severe hypokalemia of 1.8 mmol/L despite supplementation with potassium.Conclusions: Special attention should be paid to patients who just completed TPE the operative day morning as they are vulnerable to severe acid-base disturbances and life-threatening ventricular arrhythmias in ABOi LT.

Acid-Base Disorder in the Patients Visiting the Emergency Department of a Tertiary Care Hospital: A Descriptive Cross-sectional Study

Introduction: An acid-base disorder is a change in the normal value of extracellular pH that may result when renal or respiratory function is abnormal or when an acid or base load overwhelms their excretory capacity. Clinical acid-base disorders are conventionally defined from the vantage point of their impact on carbonic-acid-bicarbonate buffer system. The aim of the study is to find out the prevalence of acid-base disorder among patients visiting the emergency department of a tertiary care hospital. Methods: This is a descriptive cross-sectional study conducted among 370 patients who underwent arterial gas analysis at the emergency department of a tertiary care hospital. The study was carried out from 15th July 2016 to 15th July 2017 after receiving ethical approval from Institutional Review Committee. Convenient sampling was done. Point estimate at 95% Confidence Interval was calculated along with frequency and proportion for binary data. Data were entered in Microsoft-Excel. Statistical Package for Social Sciences version 17 was used for analysis. Results: Out of 370 patients analyzed, 329 (88.91%) (84.68-91.311 at 95% Confidence Interval) had acid-base disorder. The mixed disorder was the most common finding 80 (21.6%), followed by compensated Respiratory Acidosis 56 (17.8%). The mean age group of male patients studied was 50.72±20.586 and among females, it was 49.95±20.908 Among those most common symptoms were shortness of breath 151 (40.81%) followed by vomiting 91 (24.59%). Conclusions: Most common acid-base disorder was mixed disorder presenting with prominent symptoms of shortness of breathe in non-geriatric patients wherein the geriatric patient, the most common disorder was compensated respiratory acidosis with the prominent symptom of shortness of breath.

Association Between Respiratory Alkalosis and the Prognosis of COVID-19 Patients

Aim: The aim of the study was to describe the clinical characteristics of patients with or without respiratory alkalosis, and analyze the relationship of respiratory alkalosis and the outcome of adult coronavirus disease 2019 (COVID-19) patients.Methods: Clinical and laboratory data of adult COVID-19 patients in a single center in China, were retrospectively collected and analyzed. The Kaplan-Meier (KM) curve and cox regression were adopted to analyze the association between respiratory alkalosis and prognosis of COVID-19 patients.Results: Of 230 adult COVID-19 patients, 66 patients (28.7%) had respiratory alkalosis on admission. Of 66 patients, the median age was 53 years old (range, 21–84 years), and 43 (65.2%) were female. Compared with those without respiratory alkalosis, patients with respiratory alkalosis were significantly older (P = 0.002), had a higher proportion of female (P = 0.004), and showed higher ratios of underlying diseases including hypertension (P = 0.023) and cardiovascular disease (P = 0.028). Moreover, they demonstrated higher proportion of severe events (P = 0.001). Patients with respiratory alkalosis had a higher possibility of developing severe events compared with those without respiratory alkalosis (Log Rank P = 0.001). After adjusting for gender, age, and comorbidities, patients with respiratory alkalosis still showed significantly elevated risks of developing to severe cases (HR 2.445, 95% CI 1.307–4.571, P = 0.005) using cox regression analyses.Conclusions: Respiratory alkalosis as a common acid—base disorder in COVID-19 patients, was associated with a higher risk of developing severe event.

ABG Assistant—Towards an Understanding of Complex Acid-Base Disorders

The ability to diagnose acid-base imbalances correctly is essential for physicians and other healthcare workers. Despite its importance, it is often considered too complex and confusing. Although most people dealing with arterial blood gases (ABGs) do not usually have problems with acid-base disorder assessment, such an analysis is also carried out by other healthcare workers for whom this can be a challenging task. Many aspects may be problematic, partly due to multiple data analysis methods and no definitive statement on which one is better. According to our survey, the correctness of arterial blood gas analysis is unsatisfactory, especially in mixed disorders, which do not always manifest an obvious set of symptoms. Therefore, ABG parameters can be used as an established biomarker panel, which is considered to be a powerful tool for personalized medicine. Moreover, using different approaches to analyze acid-base disorders can lead to varying diagnoses in some cases. Because of these problems, we developed a mobile application that can spot diagnostic differences by taking into account physiological and chemical approaches, including their variants, with a corrected anion gap. The proposed application is characterized by a high percentage of correct analyses and can be an essential aid for diagnosing acid-base disturbances.

Acid-base status in canine babesiosis caused by Babesia canis

Acid-base disturbances have been reported in severe canine babesiosis caused by Babesia rossi (B. rossi), but they have not been studied in babesiosis caused by B. canis. The objective of this study was to determine the acid-base status, blood gases and electrolyte concentrations in naturally occurring canine babesiosis caused by B. canis, and to compare the results to those in healthy dogs. Two groups of animals were used: group 1 consisted of 10 healthy dogs, and group 2 consisted of 14 dogs naturally infected with B. canis. The following acid-base disturbances occurred in the dogs with naturally occurring babesiosis: half of the dogs had a mixed acid-base disorder, and the other half a simple acid-base disorder. The most common mixed disorder was metabolic acidosis with metabolic alkalosis. It may be said that a variety of acid-base disorders occurs in canine babesiosis. The dogs in the present study had metabolic acidosis due to hyperlactemia and hyperchloremia, metabolic alkalosis due to hypochloremia and hypoalbuminemia, and respiratory alkalosis due to hypoxemia. With the use of the strong-ion difference approach clearer recognition of mixed acid-base disorders and their better understanding is possible.

Emerging Neuropathophysiological and Acid-base Disorder in Coronavirus Disease-19: A Close Look at Diagnostic Prospect in Containment Operations

The two major barriers militating against rapid containment of the spread of coronavirus (CoV) disease (COVID)-19 include lack of effective contact tracing and the failure to detect and diagnose the infection early. Lack of diagnostic tools for early diagnosis has contributed to the bane of the current wild spread of COVID-19 and its containment. The current chest computed tomography (CT) for COVID-19 screening, an evolving technique, is arguably reported to have 97% diagnostic sensitivity over the viral polymerase chain reaction (PCR) that has detection of 70%. However, CT has largely been criticized as speculative and thus generates disagreement among various international radiology societies and organizations. Until now, nucleic acid detection by real-time PCR (advanced with next-generation sequencing) remains the gold standard test and clinical diagnosis technique for COVID-19. The use of this method in diagnoses, while it is more precise, is also time-consuming and may not meet the goal of rapid detection of early infection with severe acute respiratory syndrome CoV-2. Although many available tests, such as other PCR-based, serology, isothermal nucleic amplification, and among others, are coming up, the testing accuracy and/or timeliness have hampered their expected performance level. As a result, there is still a need to develop more methods to detect the current spread of COVID-19 rapidly. COVID-19 is now associated with olfactory dysfunctions in several reports. Recently, the Centers for Disease Control (CDC) established that anosmia is a notable symptom of COVID-19. Furthermore, acute systemic acidosis has been associated with COVID-19. This report critically discusses the potential pathophysiologies of COVID-19 in association with neuropathological and acid-base disorders and their prospect for diagnostics.

Effect of High Atmospheric Carbon Dioxide Concentrations on the Serum Total Carbon Dioxide Measurement

Background: Serum total carbon dioxide (TCO₂) measurements are easily affected by numerous factors. Whether an irregularly high atmospheric CO₂ concentration affects the TCO₂ measurement remains unclear. Materials and Methods: In Somdech Phra Debaratana Medical Center laboratory (SDMC) and the main building laboratory (Building 1) located within Ramathibodi Hospital, Mahidol University, Bangkok, Thailand, the repeated TCO₂ measurements using an enzymatic assay in three levels of human based control material were performed every two hours, over a one-day period. TCO₂ in a total of 150 patient sera were measured. Simultaneously, atmospheric CO₂ levels were determined. Results: Atmospheric CO₂ levels in SDMC and Building 1, ranged from 763 to 1,560 ppm and 602 to 787 ppm, respectively. Repeated TCO₂ measurements for SDMC, the measured TCO₂ concentrations of all control materials clearly increased between 10:00 a.m. and 4:00 p.m., with the peak at 2:00 p.m., which was related to an increase in the atmospheric CO₂ concentration. By contrast, in Building 1, the measurements were considerably stable. Moreover, considering patient data (n=12,042), the estimate median TCO₂ concentration in SDMC was likely to increase between 10:00 a.m. to 4:00 p.m. as well. The association between the bias (y), difference TCO₂ concentration obtained between the SDMC and the Building 1, and the increasing atmospheric CO₂ (x) was y = 0.0038x – 0.016, R²=0.6813. Using regression equations, TCO₂ level increased by approximately 0.4 mmol/L for every 100 ppm of CO₂ increase in atmosphere. Conclusion: High atmospheric CO₂ concentrations can result in falsely high TCO₂ values, which may lead to markedly wrong interpretations, especially in patients with a tendency to have low TCO₂ concentrations. Keywords: Serum total carbon dioxide, Atmospheric carbon dioxide, Acid-base disorder

Acid-base imbalance: a review with proposed unified diagnostic algorithm

Background: Alterations in the acid-base balance are studied in all medical specialties. Although most cases derive from a preexisting pathology, they can also manifest themselves in a primary context. The proper identification of the acid-base disorder allows the pathological process to be characterized. The correct interpretation of the blood gasometry as a technique for monitoring the ventilatory status, oxygenation and acid-base balance of a patient requires the integration of various physicochemical approaches in order to specify a diagnosis, quantify a therapeutic response, and monitor the severity or the progression of a pathological process. Material & Method: A literature review was conducted in the PubMed, Scopus and Science Direct databases. The articles were selected according to the title and the abstract and sorted by topics relevant by pathophysiology, divergences, clinical approach, diagnosis, and management. Results: A guide the clinical correlation of the critical patient with the blood gasometry parameters to characterize the acid-base disorder through the proposition of a diagnostic algorithm. Conclusion: The incorporation of the three theories in a diagnostic algorithm facilitates a greater understanding of the pathophysiological mechanisms and allows us to identify a more precise therapeutic objective to correct the underlying disorder in the different clinical contexts of the patient.

Metabolic Alkalosis

Metabolic alkalosis is a very commonly encountered acid-base disorder that may be generated by a variety of exogenous and/or endogenous, pathophysiologic mechanisms. Multiple mechanisms are also responsible for the persistence, or maintenance, of metabolic alkalosis. Understanding these generation and maintenance mechanisms helps direct appropriate intervention and correction of this disorder. The framework utilized in this review is based on the ECF volume-centered approach popularized by Donald Seldin and Floyd Rector in the 1970s. Although many subsequent scientific discoveries have advanced our understanding of the pathophysiology of metabolic alkalosis, that framework continues to be a valuable and relatively straightforward diagnostic and therapeutic model.