Literature DB >> 26868120

A simple respiratory severity score that may be used in evaluation of acute respiratory infection.

Hector Rodriguez1, Tina V Hartert2, Tebeb Gebretsadik3, Kecia N Carroll4, Emma K Larkin5.   

Abstract

BACKGROUND: Acute respiratory infections are ubiquitous and may have long-term implications on respiratory health. There are many scoring systems used to objectively measure severity of respiratory infections in clinical and research settings. A respiratory severity score derived exclusively from physical exam components (RSS-HR) was studied as an objective measure of disease severity and was compared to a previously described score that uses pulse oximetry as a component of its score (RSS-SO).
FINDINGS: A score was derived from 497 infants. The RSS-HR median score was higher in infants that were hospitalized (8.0) versus outpatient (4.0, p < 0.001), and those with lower respiratory tract infections (LRTI) (6.5) versus upper respiratory infections (URI) (1.0, p < 0.001). When discriminating upper versus LRTIs the concordance index of regression for RSS-HR was 0.91 and RSS-SO was 0.93.
CONCLUSIONS: RSS-HR distinguishes disease severity based on level of care, as well as LRTI versus URI.

Entities:  

Mesh:

Year:  2016        PMID: 26868120      PMCID: PMC4751705          DOI: 10.1186/s13104-016-1899-4

Source DB:  PubMed          Journal:  BMC Res Notes        ISSN: 1756-0500


Background

Acute respiratory infections (ARIs), particularly lower respiratory tract infections (LRTI), are the most common reason for hospitalization in infants [1]. Similarly, in the outpatient setting, ARIs are a common reason for ambulatory visits [2]. The importance of respiratory viral infections extend beyond acute illness and associated management, as it has been demonstrated that infections increase the risk of recurrent wheeze in older children, and the incidence of allergic asthma throughout childhood and into late adolescence [3, 4]. Considering the prevalence of ARIs, the use of an objective measure of respiratory illness severity would have implications in clinical management, as well as clinical research. There have been many LRTI severity scores that have been developed for various purposes, such as for the assessment of infant breathing in response to therapies, observer agreement of lower respiratory disease in infants, and predicting likelihood of positive pressure ventilation in infants with LRTI [5-8]. The majority of these scores are applied to hospitalized children where many healthcare resources and broader testing may be readily available. A simple respiratory severity score that has been demonstrated to have good interrater reliability is the modified Tal. This score ranges from 0 to 12, with a higher score indicating more severe disease. Each score is an aggregate of assigned values ranging from 0 to 3 in categories of respiratory rate, retractions, wheezing, and oxygen saturation in room air [9]. While three of these four variables are obtained through physical examination, there may be situations where pulse oximetry may not be readily available depending on the available health care resources and setting of care. It was hypothesized that using infant heart rate as part of a respiratory severity score (RSS-HR) could reliably be used as an alternative for oxygen saturation (RSS-SO) in the development of a modified Tal and could also be used to evaluate respiratory infection severity outcome measures in comparison with the RSS-SO.

Methods

The Tennessee Children’s Respiratory Initiative (TCRI) was used to assess the RSS-HR and RSS-SO. TCRI is a prospective cohort of 674 term healthy children who were enrolled upon infant presentation with acute respiratory illness. The level of acuity [provider visit, emergency department (ED), or inpatient] was categorized into the highest level of care based on chart review at completion of care for the illness. Enrollment occurred during four winter respiratory viral illness seasons between 2004 and 2008. Details of the TCRI cohort have been previously published [10]. Four hundred and ninety-seven infants had a documented heart rate during acute illness. The two severity scores, and their association with clinical outcomes were assessed among these 497 infants. A severity score (RSS-HR) was calculated for each infant based on chart extraction of heart rate value during the acute illness. The scores were obtained retrospectively and not used in clinical decision-making. If a patient had numerous vital signs documented, which was encountered for inpatient admissions, the most severe values noted in the first 24 h of admission were used to determine the composite score. If patients had numerous outpatient or ED visits around the enrollment date, vitals were only extracted from enrollment date. Values were determined based on the Tal respiratory score, with heart rate ranges based on values described by Destino et al. [9, 11]. Scoring is detailed in Table 1. LRTI and URI were defined using both the physician discharge diagnosis, and post-discharge chart review. A panel of pediatricians reviewed cases that were not clearly identified as either LRTI or URI and determined whether the illness represented an LRTI, URI, croup or “other” [10]. This study was approved by the Vanderbilt IRB.
Table 1

Respiratory severity scoring rubric

ScoreRespiratory rateWheezeHeart ratea \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\text{SpO}}_{2}^{\text{b}}$$\end{document}SpO2b Accessory muscle use
0<30None<150>95None
130–45End-expiratory only151–16094–95Mild intercostal retractions
246–60Entire expiration and inspiration with stethoscope161–17090–93Moderate retractions
3>60Entire expiration and inspiration without stethoscope>170<90Moderate retractions + head bobbing or tracheal tugging

aRSS-HR = respiratory rate + wheeze + heart rate + accessory muscle use

bRSS-SO = respiratory rate + wheeze + SpO2 + accessory muscle use

Respiratory severity scoring rubric aRSS-HR = respiratory rate + wheeze + heart rate + accessory muscle use bRSS-SO = respiratory rate + wheeze + SpO2 + accessory muscle use

Statistical analysis

Patients’ demographics were described as indicated using median and interquartile ranges, mean and standard deviation, or frequency and proportion. Cronbach’s alpha was used to analyze interrater reliability of the scores. Both RSS-SO and RSS-HR, were assessed for criterion validity using objective respiratory infection outcomes such the diagnosis type (LRTI vs. URI), or location of acute care (outpatient visit, ED, hospitalization).

Results

Among the 497 infants, the majority (59 %) were white, 55 % were male, and the mean age of infants at enrollment was 16 weeks. The majority of subjects were inpatient, 83 % (n = 413) while 17 % (n = 84) were outpatient. Details of subject demographics are detailed in Table 2. A diagnosis of LRTI was made in 420 (85 %) of these patients, while 77 (15 %) were diagnosed with URI.
Table 2

Cohort demographics

Infant characteristics
Gestational age, weeks (average ± SD)38.9 ± 1.3
Infant age, weeks (average ± SD)16 ± 14
Sex, N (%)
 Male275 (55 %)
 Female222 (45 %)
Infant race, N (%)
 Black92 (19 %)
 White287 (58 %)
 Hispanic64 (13 %)
 Other53 (11 %)
 Not answered1 (0 %)
Insurance, N (%)a
 None34 (7 %)
 Private148 (30 %)
 Medicaid314 (63 %)
Inpatient versus outpatientb, N (%)
 Inpatient413 (83 %)
 Outpatient84 (17 %)

aData missing for one infant

bEmergency room visits and outpatient visits were collapsed into the category of outpatient visits

Cohort demographics aData missing for one infant bEmergency room visits and outpatient visits were collapsed into the category of outpatient visits The median RSS-HR of inpatient enrollees was 8.0 [IQR: 6, 9], while outpatient was 4.0 [IQR: 2, 5.5] (p < 0.001). Similarly RSS-SO scores were higher for inpatients, 7.0 [IQR: 4, 9], while outpatient scores were 1.0 [IQR: 1, 4] (p < 0.001). The median RSS-HR in patients with LRTI was a median of 8.0 [IQR: 6, 9.5], while those with URI had a median score of 4.0 [IQR: 2, 5] (p < 0.001). Using the RSS-SO, the median score for LRTI was 6.5 [IQR: 4, 9], while for URI was 1.0. [IQR: 1, 2] (p < 0.001). Figure 1 compares the distribution of both scores. While both scores seemed to be reflective of disease severity, the internal consistency was better with scores based on pulse oximetry when compared to heart rate, with a Cronbach’s α of 0.76 versus 0.66 respectively.
Fig. 1

Score distribution comparison for respiratory severity score (RSS) with heart rate or with pulse oximetry. Side-by-side bar graphs comparing the number of subjects that fall within each scoring range using RSS-heart rate (black) or RSS-pulse oximetry (gray)

Score distribution comparison for respiratory severity score (RSS) with heart rate or with pulse oximetry. Side-by-side bar graphs comparing the number of subjects that fall within each scoring range using RSS-heart rate (black) or RSS-pulse oximetry (gray) We compared the performance of the two scores in discriminating outcomes of URI versus LRTI with the assessment metric of concordance index (C-index). Using a multivariable logistic regression that adjusted for infant age, gender and race, the C-index of the regression model for RSS-SO 0.93 (95 % CI 0.91, 0.96) and for RSS-HR C index was 0.91 (0.88, 0.94). Additional adjustment for fever in assessing criterion validity made no difference in predicting URI versus LRTI.

Discussion

Our study demonstrated that it may be possible to broaden the applicability of the modified Tal by using an alternative score replacing the factor of oxygen saturation with heart rate. The modified Tal has been demonstrated to be internally valid in LRTI, and demonstrated utility determining disease severity in ARI [9, 12]. The RSS-HR was significantly higher in children diagnosed with LRTI compared to those with URI. In addition, it was significantly higher in those admitted to the hospital compared to those managed as outpatient. These findings may have clinical implications, and usefulness in research as it could be used to not only distinguish URI versus LRTI, but also determine the level of acuity of respiratory illness. This usefulness may be especially true in locations where assessment tools like pulse oximetry are not readily available, such as underserved communities and developing/undeveloped countries. There were limitations to our study. When using heart rate, there was less interrater reliability. This may be explained by the fact that results were extracted from medical records in various levels of medical care and heart rate was obtained from different caregivers who may obtain heart rate by different means. Other factors that influence heart rate, like pain or agitation, were not accounted for in this study. The patients enrolled were at a single academic institution that is a referral center for numerous local hospitals, and as such, may possibly be more ill than those at other hospitals. The majority enrolled were also inpatient, which could further skew results towards a more severe population and influence scores measured. We also counted the highest heart rate and other vital signs, which may bias results as patients who are admitted have more data points to observe compared to patients presenting as outpatient who may not present with the most severe set of vitals. This would potentially skew subjects enrolled in the inpatient setting to having higher respiratory severity scores. While acknowledging these limitations, we have described an additional tool to measure illness severity in ARI. This score has the advantage of being ascertained exclusively through physical exam, without the need for additional equipment. It is possible that this objective measure can have applications in both the clinical management of children presenting with viral respiratory illness, and in clinical research as it strongly associates with disease severity and clinical level of care. Future directions for the RSS-HR could include blinded, prospective use of the score and the potential associations with inpatient admission and LRTI versus URI.
  12 in total

1.  Clinical predictors of nasal continuous positive airway pressure requirement in acute bronchiolitis.

Authors:  Jordan Evans; Matko Marlais; Ed Abrahamson
Journal:  Pediatr Pulmonol       Date:  2011-09-07

2.  Asthma and allergy patterns over 18 years after severe RSV bronchiolitis in the first year of life.

Authors:  Nele Sigurs; Fatma Aljassim; Bengt Kjellman; Paul D Robinson; Fridrik Sigurbergsson; Ragnar Bjarnason; Per M Gustafsson
Journal:  Thorax       Date:  2010-06-27       Impact factor: 9.139

3.  Dexamethasone and salbutamol in the treatment of acute wheezing in infants.

Authors:  A Tal; C Bavilski; D Yohai; J E Bearman; R Gorodischer; S W Moses
Journal:  Pediatrics       Date:  1983-01       Impact factor: 7.124

4.  Respiratory Severity Score Separates Upper Versus Lower Respiratory Tract Infections and Predicts Measures of Disease Severity.

Authors:  Amy S Feldman; Tina V Hartert; Tebeb Gebretsadik; Kecia N Carroll; Patricia A Minton; Kimberly B Woodward; Emma K Larkin; Eva Kathryn Miller; Robert S Valet
Journal:  Pediatr Allergy Immunol Pulmonol       Date:  2015-06-01       Impact factor: 1.349

5.  The Tennessee Children's Respiratory Initiative: Objectives, design and recruitment results of a prospective cohort study investigating infant viral respiratory illness and the development of asthma and allergic diseases.

Authors:  Tina V Hartert; Kecia Carroll; Tebeb Gebretsadik; Kimberly Woodward; Patricia Minton
Journal:  Respirology       Date:  2010-03-29       Impact factor: 6.424

6.  Observer agreement for respiratory signs and oximetry in infants hospitalized with lower respiratory infections.

Authors:  E E Wang; R A Milner; L Navas; H Maj
Journal:  Am Rev Respir Dis       Date:  1992-01

7.  Wheezing in infants: the response to epinephrine.

Authors:  D I Lowell; G Lister; H Von Koss; P McCarthy
Journal:  Pediatrics       Date:  1987-06       Impact factor: 7.124

8.  Ambulatory care visits to physician offices, hospital outpatient departments, and emergency departments: United States, 2001-02.

Authors:  Susan M Schappert; Catharine W Burt
Journal:  Vital Health Stat 13       Date:  2006-02

9.  Severity scoring systems: are they internally valid, reliable and predictive of oxygen use in children with acute bronchiolitis?

Authors:  Gabrielle B McCallum; Peter S Morris; Clare C Wilson; Lesley A Versteegh; Linda M Ward; Mark D Chatfield; Anne B Chang
Journal:  Pediatr Pulmonol       Date:  2012-09-04

10.  Bronchiolitis: age and previous wheezing episodes are linked to viral etiology and atopic characteristics.

Authors:  Tuomas Jartti; Pasi Lehtinen; Tytti Vuorinen; Olli Ruuskanen
Journal:  Pediatr Infect Dis J       Date:  2009-04       Impact factor: 2.129

View more
  9 in total

1.  Differences in the Nasopharyngeal Microbiome During Acute Respiratory Tract Infection With Human Rhinovirus and Respiratory Syncytial Virus in Infancy.

Authors:  Christian Rosas-Salazar; Meghan H Shilts; Andrey Tovchigrechko; Seth Schobel; James D Chappell; Emma K Larkin; Jyoti Shankar; Shibu Yooseph; Karen E Nelson; Rebecca A Halpin; Martin L Moore; Larry J Anderson; R Stokes Peebles; Suman R Das; Tina V Hartert
Journal:  J Infect Dis       Date:  2016-12-15       Impact factor: 5.226

Review 2.  Systematic review of instruments aimed at evaluating the severity of bronchiolitis.

Authors:  Carlos E Rodriguez-Martinez; Monica P Sossa-Briceño; Gustavo Nino
Journal:  Paediatr Respir Rev       Date:  2017-02-15       Impact factor: 2.726

3.  Upper respiratory tract bacterial-immune interactions during respiratory syncytial virus infection in infancy.

Authors:  Christian Rosas-Salazar; Zheng-Zheng Tang; Meghan H Shilts; Kedir N Turi; Qilin Hong; Derek A Wiggins; Christian E Lynch; Tebeb Gebretsadik; James D Chappell; R Stokes Peebles; Larry J Anderson; Suman R Das; Tina V Hartert
Journal:  J Allergy Clin Immunol       Date:  2021-09-14       Impact factor: 14.290

4.  A retrospective study examining the clinical significance of testing respiratory panels in children who presented to a tertiary hospital in 2019.

Authors:  Lulwa Almannaei; Ebrahim Alsaadoon; Sultan AlbinAli; Mohammed Taha; Imelda Lambert
Journal:  Access Microbiol       Date:  2022-03-21

5.  Nasopharyngeal Lactobacillus is associated with a reduced risk of childhood wheezing illnesses following acute respiratory syncytial virus infection in infancy.

Authors:  Christian Rosas-Salazar; Meghan H Shilts; Andrey Tovchigrechko; Seth Schobel; James D Chappell; Emma K Larkin; Tebeb Gebretsadik; Rebecca A Halpin; Karen E Nelson; Martin L Moore; Larry J Anderson; R Stokes Peebles; Suman R Das; Tina V Hartert
Journal:  J Allergy Clin Immunol       Date:  2018-01-10       Impact factor: 10.793

6.  A Respiratory Syncytial Virus Attachment Gene Variant Associated with More Severe Disease in Infants Decreases Fusion Protein Expression, Which May Facilitate Immune Evasion.

Authors:  Stacey Human; Anne L Hotard; Larry J Anderson; Tina V Hartert; Martin L Moore; Christina A Rostad; Sujin Lee; Louise McCormick; Emma K Larkin; Teresa C T Peret; Jaume Jorba; Joseph Lanzone; Tebeb Gebretsadik; John V Williams; Melissa Bloodworth; Matthew Stier; Kecia Carroll; R Stokes Peebles
Journal:  J Virol       Date:  2020-12-22       Impact factor: 5.103

7.  Cross-sectional investigation and risk factor analysis of community-acquired and hospital-associated canine viral infectious respiratory disease complex.

Authors:  Chutchai Piewbang; Anudep Rungsipipat; Yong Poovorawan; Somporn Techangamsuwan
Journal:  Heliyon       Date:  2019-11-14

8.  Detection of respiratory syncytial virus defective genomes in nasal secretions is associated with distinct clinical outcomes.

Authors:  Sébastien A Felt; Yan Sun; Agnieszka Jozwik; Allan Paras; Maximillian S Habibi; David Nickle; Larry Anderson; Emna Achouri; Kristen A Feemster; Ana María Cárdenas; Kedir N Turi; Meiping Chang; Tina V Hartert; Shaon Sengupta; Christopher Chiu; Carolina B López
Journal:  Nat Microbiol       Date:  2021-04-01       Impact factor: 30.964

9.  The clinical respiratory score predicts paediatric critical care disposition in children with respiratory distress presenting to the emergency department.

Authors:  Kanwal Nayani; Rubaba Naeem; Owais Munir; Naureen Naseer; Asher Feroze; Nick Brown; Asad I Mian
Journal:  BMC Pediatr       Date:  2018-10-30       Impact factor: 2.125

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.