Related Experiment Video

Updated: Feb 1, 2026

Meta-Analysis of the Effectiveness and Safety of Shugan Jieyu Capsules for the Treatment of Insomnia
04:34

Meta-Analysis of the Effectiveness and Safety of Shugan Jieyu Capsules for the Treatment of Insomnia

Published on: February 17, 2023

1.6K

Hypoalbuminaemia contributes to postoperative pulmonary complications and mortality: a systematic review and

Xi Wang1, Hong Tang1, Mingke Zheng1

  • 1Department of Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Yuzhong, 400016, China.

BMC Anesthesiology
|January 30, 2026
PubMed
Abstract

Insights

Hypoalbuminemia, a condition of low albumin levels, significantly predicts postoperative pulmonary complications and mortality in patients undergoing general anesthesia. This risk varies across different surgical types, highlighting its importance in preoperative assessment.

Area of Science:

  • Anesthesiology and Perioperative Medicine
  • Critical Care and Respiratory Medicine
  • Surgical Outcomes and Patient Safety

Background:

  • Hypoalbuminemia is a common finding in surgical patients and is associated with adverse outcomes.
  • The predictive value of hypoalbuminemia for postoperative pulmonary complications (PPCs) and mortality requires comprehensive assessment.

Purpose of the Study:

  • To systematically review and meta-analyze existing literature to determine if hypoalbuminemia predicts PPCs and mortality in patients undergoing general anesthesia.
  • To investigate the association between hypoalbuminemia and specific types of surgical procedures.

Main Methods:

  • A comprehensive literature search was conducted across PubMed, Web of Science, EMBASE, and the Cochrane Library up to July 18, 2024.
  • Data from 40 studies involving 477,701 patients were included in the meta-analysis.
  • Study quality was assessed using the Newcastle–Ottawa Scale, and data were analyzed using Review Manager version 5.4.1.

Main Results:

  • Hypoalbuminemia was a significant predictor of PPCs and mortality after general anesthesia (OR: 2.88, 95% CI 2.50 to 3.32).
  • The predictive value varied by surgical site: orthopaedic surgery (OR: 4.03), abdominal surgery (OR: 2.48), other surgeries (OR: 2.34), and thoracic surgery (OR: 1.82).
  • Patients with hypoalbuminemia exhibited significantly increased mortality (OR: 4.31).

Conclusions:

  • Preoperative hypoalbuminemia is a significant independent predictor of postoperative pulmonary complications and mortality.
  • The strength of this association differs across various surgical specialties, emphasizing the need for tailored risk assessment.
Keywords:
HypoalbuminaemiaMalnutritionPPCPostoperative complicationsPostoperative pulmonary complicationsSystematic review

More Related Videos

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment08:36

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment

Published on: April 19, 2024

1.2K
Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy05:24

Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy

Published on: January 10, 2025

886

Related Concept Videos

Chronic Obstructive Pulmonary Disease-III: Symptoms and Complications.01:25

Chronic Obstructive Pulmonary Disease-III: Symptoms and Complications.

Understanding the variety of primary symptoms and systemic complications that characterize chronic obstructive pulmonary disease (COPD) is crucial for healthcare professionals.
Symptoms of COPD can be classified as primary or systemic. Primary symptoms relate to reduced airflow, while systemic or extrapulmonary symptoms relate to COPD's broader impact on the body.
Primary Symptoms of COPD:
3.7K
Review and Preview01:10

Review and Preview

In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
8.4K
Review and Preview01:13

Review and Preview

Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
11.3K
Binet's Contribution to Measures of Intelligence01:23

Binet's Contribution to Measures of Intelligence

Alfred Binet, along with his student Théophile Simon, was tasked by the French Ministry of Education in 1904 to create a method for identifying students who struggled to learn through conventional classroom instruction. This initiative aimed to address overcrowding by placing such students in specialized schools. Binet and Simon developed an intelligence test comprising 30 tasks, ranging from simple commands, like touching one's nose or ear, to more complex tasks, such as drawing...
1.7K
Hemodialysis II: Procedure and Complications01:24

Hemodialysis II: Procedure and Complications

DialyzersA hemodialysis (HD) dialyzer is a plastic cartridge containing thousands of parallel hollow fibers, which serve as semipermeable membranes. These fibers are typically made from cellulose-based or other synthetic materials. During HD, blood is pumped into the top of the cartridge and distributed among these fibers. Simultaneously, dialysis fluid, known as dialysate, is introduced into the bottom of the cartridge, bathing the outside of the fibers. Across the semipermeable membrane,...
815
Random and Systematic Errors01:20

Random and Systematic Errors

Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
14.9K