scholarly journals Cluster analysis in 975 patients with current cough identifies a phenotype with several cough triggers, many background disorders, and low quality of life

2020 ◽  
Author(s):  
Heikki Olavi Koskela ◽  
Tuomas A Selander ◽  
Anne M Lätti

Abstract Background Recognition of disorder phenotypes may help to estimate prognosis and to guide the clinical management. Current cough management guidelines classify patients according to the duration of the cough episode. However, this classification is not based on phenotype analyses. The present study aimed to identify cough phenotypes by clustering. Methods An email survey among employed, working-age subjects identified 975 patients with current cough. All filled in a comprehensive 80-item questionnaire including the Leicester Cough Questionnaire. Phenotypes were identified utilizing K-means partitional clustering. A subgroup filled in a follow-up questionnaire 12 months later to investigate the possible differences in the prognosis between the phenotypes. Results Two clusters were found. The cluster A included 608 patients (62.4% of the population) and the cluster B 367 patients (37.6%). The three most important variables to separate the clusters were the number of the triggers of cough (mean 2.63 (SD 2.22) vs . 6.95 (2.30), respectively, p<0.001), the number of the cough background disorders (chronic rhinosinusitis, current asthma, gastroesophageal reflux disease, 0.29 (0.50) vs . 1.28 (0.75), respectively, p<0.001), and the Leicester Cough Questionnaire physical domain (5.33 (0.76) vs . 4.25 (0.84), respectively, p<0.001). There were significant interrelationships between these three variables (each p<0.001). Duration of the episode was not among the most important variables to separate the clusters. At 12 months, 27.0% of the patients of the cluster A and 46.1% of the patients of the cluster B suffered from cough that had continued without interruptions from the first survey (p<0.001). Conclusions Two cough phenotypes could be identified. Cluster A represents phenotype A, which includes the majority of patients and has a tendency to heal by itself. The authors propose that cluster B represents phenotype TBQ (Triggers, Background disorders, Quality of life impairment). Given the poor prognosis of this phenotype, it urges a prompt and comprehensive clinical evaluation regardless of the duration of the cough episode.

2020 ◽  
Author(s):  
Heikki Olavi Koskela ◽  
Tuomas A Selander ◽  
Anne M Lätti

Abstract Background: Recognition of disorder phenotypes may help to estimate prognosis and to guide the clinical management. Current cough management guidelines classify patients according to the duration of the cough episode. However, this classification is not based on phenotype analyses. The present study aimed to identify cough phenotypes by clustering.Methods: An email survey among employed, working-age subjects identified 975 patients with current cough. All filled in a comprehensive 80-item questionnaire including the Leicester Cough Questionnaire. Phenotypes were identified utilizing K-means partitional clustering. A subgroup filled in a follow-up questionnaire 12 months later to investigate the possible differences in the prognosis between the phenotypes.Results: Two clusters were found. The cluster A included 608 patients (62.4 % of the population) and the cluster B 367 patients (37.6 %). The three most important variables to separate the clusters were the number of the triggers of cough (mean 2.63 (SD 2.22) vs. 6.95 (2.30), respectively, p<0.001), the number of the cough background disorders (chronic rhinosinusitis, current asthma, gastroesophageal reflux disease, 0.29 (0.50) vs. 1.28 (0.75), respectively, p<0.001), and the Leicester Cough Questionnaire physical domain (5.33 (0.76) vs. 4.25 (0.84), respectively, p<0.001). There were significant interrelationships between these three variables (each p<0.001). Duration of the episode was not among the most important variables to separate the clusters. At 12 months, 27.0 % of the patients of the cluster A and 46.1 % of the patients of the cluster B suffered from cough that had continued without interruptions from the first survey (p<0.001).Conclusions: Two cough phenotypes could be identified. Cluster A represents phenotype A, which includes the majority of patients and has a tendency to heal by itself. The authors propose that cluster B represents phenotype TBQ (Triggers, Background disorders, Quality of life impairment). Given the poor prognosis of this phenotype, it urges a prompt and comprehensive clinical evaluation regardless of the duration of the cough episode.


Crisis ◽  
2003 ◽  
Vol 24 (2) ◽  
pp. 73-78 ◽  
Author(s):  
Yves Sarfati ◽  
Blandine Bouchaud ◽  
Marie-Christine Hardy-Baylé

Summary: The cathartic effect of suicide is traditionally defined as the existence of a rapid, significant, and spontaneous decrease in the depressive symptoms of suicide attempters after the act. This study was designed to investigate short-term variations, following a suicide attempt by self-poisoning, of a number of other variables identified as suicidal risk factors: hopelessness, impulsivity, personality traits, and quality of life. Patients hospitalized less than 24 hours after a deliberate (moderate) overdose were presented with the Montgomery-Asberg Depression and Impulsivity Rating Scales, Hopelessness scale, MMPI and World Health Organization's Quality of Life questionnaire (abbreviated versions). They were also asked to complete the same scales and questionnaires 8 days after discharge. The study involved 39 patients, the average interval between initial and follow-up assessment being 13.5 days. All the scores improved significantly, with the exception of quality of life and three out of the eight personality traits. This finding emphasizes the fact that improvement is not limited to depressive symptoms and enables us to identify the relative importance of each studied variable as a risk factor for attempted suicide. The limitations of the study are discussed as well as in particular the nongeneralizability of the sample and setting.


Pneumologie ◽  
2010 ◽  
Vol 64 (S 03) ◽  
Author(s):  
P Velling ◽  
D Skowasch ◽  
S Pabst ◽  
E Jansen ◽  
I Tuleta ◽  
...  
Keyword(s):  

2012 ◽  
Vol 60 (S 01) ◽  
Author(s):  
I Kammerer ◽  
M Höhn ◽  
AH Kiessling ◽  
S Becker ◽  
FU Sack

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