Reduced levels of pulmonary surfactant in COVID-19 ARDS.

To provide novel data on surfactant levels in adult COVID-19 patients, we collected bronchoalveolar lavage fluid less than 72 h after intubation and used Fourier Transform Infrared Spectroscopy to measure levels of dipalmitoylphosphatidylcholine (DPPC). A total of eleven COVID-19 patients with moderate-to-severe ARDS (CARDS) and 15 healthy controls were included. CARDS patients had lower DPPC levels than healthy controls.

[Surfactant therapy of respiratory distress syndrome].

This review gives a summary of the development of a method to measure lung surfactant on gastric aspirate at birth in premature infants with the purpose to threat respiratory distress syndrome early with targeted surfactant. Machine learning was used to create the algorithm, and a point-of-care spectrometer was constructed for use in the delivery room. The sensitivity was 91% and specificity 79% in a clinical trial.

Bronchopulmonary dysplasia predicted at birth by artificial intelligence.

Aim: To develop a fast bedside test for prediction and early targeted intervention of bronchopulmonary dysplasia (BPD) to improve the outcome.

Methods: In a multicentre study of preterm infants with gestational age 24-31 weeks, clinical data present at birth were combined with spectral data of gastric aspirate samples taken at birth and analysed using artificial intelligence. The study was designed to develop an algorithm to predict development of BPD.