Diagnostic value of ultrasound for predicting the occurrence of airway difficulty in patients undergoing anesthesia.

Chen Zhang, Lihai Chen, Ke Ding, Bei Sun, Xiaodan Zhang, Yong Zhang, Hongguang Bao

Abstract read

In one paragraph

Article in American journal of translational research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Chen ZhangDepartment of Anesthesiology, Nanjing First Hospital, Nanjing Medical University Nanjing 210006, Jiangsu, China.

Lihai ChenDepartment of Anesthesiology, Nanjing First Hospital, Nanjing Medical University Nanjing 210006, Jiangsu, China.

Ke DingDepartment of Anesthesiology, Nanjing First Hospital, Nanjing Medical University Nanjing 210006, Jiangsu, China.

Bei SunDepartment of Anesthesiology, Nanjing First Hospital, Nanjing Medical University Nanjing 210006, Jiangsu, China.

Xiaodan ZhangDepartment of Anesthesiology, Nanjing First Hospital, Nanjing Medical University Nanjing 210006, Jiangsu, China.

Yong ZhangDepartment of Anesthesiology, Nanjing First Hospital, Nanjing Medical University Nanjing 210006, Jiangsu, China.

Hongguang BaoDepartment of Anesthesiology, Nanjing First Hospital, Nanjing Medical University Nanjing 210006, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the diagnostic value of ultrasound for predicting occurrence of airway difficulty in patients undergoing anesthesia.

methodsA total of 273 patients airway difficultyundergoing general anesthesia admitted to the Department of Anesthesiology, Nanjing First Hospital, Affiliated to Nanjing Medical University from January 2017 to October 2021 were selected in this prospective study. Among them, 73 suffered airway difficulty and the airway difficultyremaining 200 did not. Factors relating to the occurrence of difficulty were observed, and the hyomental distance ratio [HMDR = hyomental distance at the extreme of head extension (HMDe)/hyomental distance in the neutral position (HMDn)] combined with the distance from skin to epiglottis midway (DSEM) were further studied for the prediction of airway difficulty occurrence.

resultsMultivariate regression analysis revealed that HMDe, HMDR, and DSEM were factors associated with the occurrence of difficulty (all P<0.05). The specificity and the sensitivity of HMDR in diagnosing airway difficulty were 0.715 and 0.918 respectively at a cutoff value of 1.245 mm. The specificity and sensitivity of DSEM in diagnosing airway difficulty were 0.959 and 0.767 respectively at a cutoff value of 22.952 nm. When HMDR was combined with DSEM, the specificity of the diagnosis of airway difficulty was 0.973, and the sensitivity was 0.904.

conclusionHMDe, HMDR and DSEM can be used to predict occurrence of airway difficultyand HMDR combined with DSEM has value in the diagnosis.

Indexed as

Airway difficultydiagnostic valueDSEMHMDR

Identifiers

PMID37434828

PMCPMC10331644

What OpenQuestion holds

Textmetadata

Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.