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Related Concept Videos

Diagnosing Acidosis and Alkalosis01:24

Diagnosing Acidosis and Alkalosis

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Diagnosing acid-base imbalances involves systematically analyzing arterial blood samples, focusing on three key measurements: pH, bicarbonate (HCO3−) concentration, and carbon dioxide partial pressure (PCO2). This analysis follows a four-step process that helps identify the imbalance's underlying cause and nature.
First, the pH level is assessed to determine whether the blood pH is normal (7.35–7.45), low (acidosis), or high (alkalosis).
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Acid-Base Balance01:25

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The human body maintains a narrow pH range regulated through acid-base balance. This balance is crucial as changes in the hydrogen ion concentration can disrupt cell membrane stability, alter protein structures, and change enzyme activities. The normal pH of arterial blood is 7.4, venous blood and interstitial fluid is 7.35, and intracellular fluid averages 7.0.
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Disorders of Acid-Base Balance01:29

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The human body maintains a precise pH range of arterial blood between 7.35 and 7.45. Deviations result in either acidosis (pH < 7.35) or alkalosis (pH > 7.45). These conditions are further classified as respiratory or metabolic disorders based on their underlying cause.
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Ladder Diagrams: Acid&#8211;Base Equilibria01:32

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Understanding the chemistry between the reagents is necessary for performing any experiment. To this end, scientists have designed a tool called a ladder diagram, which is a graphical representation that helps illustrate the chemistry of a system.
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The acid-base reaction class has been studied for quite some time. In 1680, Robert Boyle reported traits of acid solutions that included their ability to dissolve many substances, to change the colors of certain natural dyes, and to lose these traits after coming in contact with alkali (base) solutions. In the eighteenth century, it was recognized that acids have a sour taste, react with limestone to liberate a gaseous substance (now known to be CO2), and interact with alkalis to form neutral...
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Blood Studies I: ABG and VBG01:26

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Blood studies are critical in the medical field, enabling healthcare professionals to assess a patient's health status accurately. This page will focus on two significant blood studies: Arterial Blood Gas (ABG) and Venous Blood Gas (VBG).
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Updated: Nov 12, 2025

Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver
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[Design and development of analysis software for acid-base balance disorder based on Visual Basic.NET].

Chunyuan Ma1, Xiangying Liu, Kai Ling

  • 1Department of Nephrology, Suzhou Ninth People's Hospital, Suzhou 215200, Jiangsu, China. Corresponding author: Ling Kai,

Zhonghua Wei Zhong Bing Ji Jiu Yi Xue
|March 17, 2021
PubMed
Summary

This study developed diagnostic software to determine acid-base balance disorders using mathematical models. The software accurately identifies disorder types, offering a valuable clinical diagnostic tool.

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Area of Science:

  • Medical Informatics
  • Clinical Chemistry
  • Computational Biology

Background:

  • Accurate diagnosis of acid-base balance disorders is crucial for patient management.
  • Existing diagnostic methods can be complex and time-consuming.
  • Development of automated diagnostic tools can improve efficiency and accuracy.

Purpose of the Study:

  • To develop and validate diagnostic analysis software for determining acid-base balance disorder types.
  • To create a user-friendly tool for clinicians to aid in diagnosis.
  • To assess the software's diagnostic accuracy against literature data.

Main Methods:

  • Mathematical models based on Henderson-Hasselbalch equations and compensation formulas were developed.
  • Software was programmed in Visual Basic.NET, incorporating a 'four parameters-four steps' analysis method.
  • 112 literature-reported acid-base disorder cases were reanalyzed by the software for validation.

Main Results:

  • The software successfully determined various acid-base balance disorder types, including double and triple mixed disorders.
  • It demonstrated a high consistency rate (87.50%) with literature diagnoses.
  • Statistical analysis showed significant agreement (Kappa test: κ = 0.84, P < 0.01).

Conclusions:

  • The developed software serves as an effective tool for diagnosing acid-base balance disorders.
  • It provides a valuable diagnostic reference for clinicians.
  • The software possesses practical utility and promising application prospects in clinical settings.