Literature DB >> 33249678

The Quick Walk Test: A Noninvasive Test to Assess the Risk of Mechanical Ventilation During COVID-19 Outbreaks.

Stefano Paglia1, Giovanni Nattino2, Federica Occhipinti2, Luca Sala2, Elena Targetti2, Francesca Cortellaro3, Roberto Cosentini4, Giorgio Costantino5,6, Ferdinando Fichtner1, Marta Mancarella5, Claudia Marinaro4, Cristina Sorlini3, Guido Bertolini2.   

Abstract

Entities:  

Mesh:

Year:  2020        PMID: 33249678      PMCID: PMC7753836          DOI: 10.1111/acem.14180

Source DB:  PubMed          Journal:  Acad Emerg Med        ISSN: 1069-6563            Impact factor:   5.221


× No keyword cloud information.
The first case of coronavirus disease 2019 (COVID‐19) in the Lombardy region of Italy was confirmed in February 2020. Here, the outbreak resulted in the rapid overcrowding of several emergency departments (EDs), where physicians had little or no criteria to decide who needed hospitalization or could be discharged. Several studies described common patterns of symptoms , , , (fever, cough, dyspnea, myalgia, fatigue) and chest radiologic findings , (consolidation, ground‐glass opacity, bilateral infiltrations, interstitial abnormalities) in severe and nonsevere COVID‐19 patients. While prognostic scores to identify clinical deteriorations have been proposed, they have not been targeted to patients with mild symptoms at ED presentation. The city of Lodi, in Lombardy, faced one of the first and major epidemic outbreaks in Italy. Here, emergency physicians observed fatigue and syncope in patients after mild efforts, such as few steps. When vital parameters were measured, physicians observed low peripheral oxygen saturation (SpO2) levels, even in patients with normal values at rest. Since one of the characteristics of COVID‐19 pneumonia is the discrepancy between relatively well‐preserved lung compliance and severely compromised pulmonary gas exchange (hypoxemia without fatigue and hypercapnia), patients with a progressive underlying respiratory failure may still arrive to the ED with mild symptoms. Hence, the ED team adapted the traditional 6‐minute walk test into a quick walk test (QWT), to evaluate the pulmonary impairment of COVID‐19 patients. Exercise‐induced hypoxemia is commonly used with respiratory diseases, to assess the degree of disability, prognosis, and response to treatments. The 6‐minute walk test is the most widely used and consists of the measurement of the distance walked in 6 minutes. The QWT was designed as a walk of 30 to 40 meters at the maximum possible speed for each patient. The distance was considered sufficient to induce detectable hypoxemia in patients with normal parameters at rest but a progressive underlying respiratory failure. Longer walks would have exposed patients to the risk of severe hypoxemia and would have been impractical for regular use in EDs during the hyperepidemic stages of the outbreak. Pre‐ and postexercise SpO2 values were collected. Lodi’s ED team shared the idea with the Fenice research network and other EDs started using the QWT to identify patients who, during the emergency, needed immediate care or could be discharged. We studied the prognostic value of the QWT for patients suspected of COVID‐19 during an outbreak, focusing on the need for invasive mechanical ventilation (MV) within 15 days from the first ED access as outcome. As median times from illness onset to clinical deterioration of 8.4 or 14.5  days have been reported, a follow up of 15 days was chosen to capture most of the severe clinical deteriorations, while excluding events that were not directly related to the severity of the COVID‐19 infection. We evaluated three different criteria to interpret the results of the QWT. The test was considered positive in case of: Decrease in SpO2 ≥ 3%, the minimum difference that can be reliably evaluated with common pulse oximeters. Decrease in SpO2 ≥ 5%, a more conservative cutoff. Postexercise SpO2 ≤ 90%, corresponding to a PaO2 of about 60 mmHg, the commonly used threshold for respiratory failure. We retrospectively collected data on the patients admitted to the ED of four hospitals in Lombardy: Maggiore Policlinico and San Carlo Borromeo (Milan), Maggiore (Lodi), and Papa Giovanni XXIII (Bergamo). In these EDs, the policy was to perform the QWT on all nonurgent patients suspected of COVID‐19 able to walk. Patients with SpO2 ≥ 95% at rest at ED admission and normal vital signs were considered as nonurgent. Patients were suspected of COVID‐19 in case of flu‐like syndrome (myalgias, cough/dyspnea or respiratory symptoms, fever, asthenia). All the patients who visited the participating EDs between February 25 and April 30, 2020, satisfied these criteria and performed the QWT were eligible for this study. Patients with chronic obstructive pulmonary disease were excluded. The study was approved by the institutional ethics committee Milano Area 2 (study code EC‐COVID/2020) who, due to the retrospective nature of the study, dispensed from the requirement of informed consent. Of the 937 ED patients with a suspected COVID‐19 infection who performed the QWT, the outcome was available on 812 (86.7%). The selection of the patients is illustrated in Data Supplement S1, Figure S1 (available as supporting information in the online version of this paper, which is available at http://onlinelibrary.wiley.com/doi/10.1111/acem.14180/full), where we also describe the patients at ED admission (Data Supplement S1, Table S1). Within 15 days from the ED admission, CPAP was required by 32 patients (3.9%) and MV by six (0.7%). For these six patients, MV was started between the third and ninth days from ED presentation. Four patients (0.5%) died. Table 1 reports the results of the QWT, according to the three proposed criteria to consider the test positive. Regardless of the criterion, the percentage of patients with a positive test result among those with a poor outcome (analogous to the sensitivity of diagnostic tests), was 83.3% (95% confidence interval [CI] = 35.9% to 99.6%). Instead, the percentage of patients with a negative test among those with a good outcome (analogous to the specificity) was 76.2% (95% CI = 73.1% to 79.1%) with the first criterion, 89.2% (95% CI = 86.9% to 91.3%) with the second, and 93.4% (95% CI = 91.5% to 95.0%) with the third. The positive predictive values (PPVs) ranged from 2.5% to 8.6%, and the negative predictive values (NPVs), from 99.8% to 99.9%.
Table 1

Interpretation of the QWT According to the Different Criteria in the Groups of Patients Who Were and Were Not Mechanically Ventilated

QWT CriteriaMV (n = 6)No MV (n = 806)Performance of the Test
Loss of 3 percentage points after QWT, N (column %)
Positive5 (83.3)192 (23.8)PPV = 2.5% (95% CI: 0.8%–5.8%)
Negative1 (16.7)614 (76.2)NPV = 99.8% (95% CI = 99.1%–100.0%)
Loss of 5 percentage points after QWT, N (column %)
Positive5 (83.3)87 (10.8)PPV = 5.4% (95% CI: 1.8%–12.2%)
Negative1 (16.7)719 (89.2)NPV = 99.9% (95% CI = 99.2%–100.0%)
Post‐QWT saturation ≤ 90%, N (column %)
Positive5 (83.3)53 (6.6)PPV = 8.6% (95% CI: 2.9%–19.0%)
Negative1 (16.7)753 (93.4)NPV = 99.9% (95% CI = 99.3%–100.0%)

MV = mechanical ventilation; NPV = negative predicting value; PPV = positive predicting value; QWT = quick walk test.

Interpretation of the QWT According to the Different Criteria in the Groups of Patients Who Were and Were Not Mechanically Ventilated MV = mechanical ventilation; NPV = negative predicting value; PPV = positive predicting value; QWT = quick walk test. Data Supplement S1, Section S1, describes two sensitivity analyses to assess the robustness of the estimates to the exclusion of the patients with missing outcome, computing test ignorance regions and using a Bayesian model. The results were consistent with what emerged from the main analysis and did not raise concerns about such an exclusion. The first result emerging from our data is the very small proportion of the study patients who showed poor short‐term outcomes, despite the high fluxes of patients and the lack of evidence about effective treatments. These results reassure on the overall good prognosis of COVID‐19 patients in nonsevere conditions and normal SpO2, confirming what observed in previous studies. Despite the moderately high proportion of QWT‐positive results among the MV patients (sensitivity = 83.3%), this proportion was estimated with low precision, due to the low incidence of MV. The sole false‐negative result pertained to a patient who did not undergo MV immediately after visiting the ED. He tested positive for COVID‐19, but the chest X‐ray was not suggestive for pneumonia. He was intubated in a subsequent hospital access, 9 days after the first visit, and survived. Accordingly, we believe that the true proportion of patients who are incorrectly classified by the QWT as not at risk of rapid worsening may be even lower than our estimate. Further investigations are deemed essential to verify our conjecture. Conversely, our data provide strong evidence of a very high proportion of patients testing negative at the QWT among those who have not undergone MV (specificity). This proportion was higher than 90% in the version of the test based on the postexercise SpO2. These results, in combination with the low incidence of poor outcomes and the related very high NPV, suggest that the considered COVID‐19 patients may be safely discharged home or hospitalized in low‐intensive regimens if testing negative at the QWT. This is essential to optimally allocate the finite resources during COVID‐19 outbreaks. Notwithstanding the low PPVs of the three versions of QWT, which may be partially explained by the very low incidence of MV, the best performing version of the test identified a subgroup where the risk of MV was 10 times higher than the full cohort (8.6%/0.7% = 11.7). Given the low severity of the considered cohort, patients testing positive to the QWT should be monitored closely, on high‐intensity beds, or with appropriate home‐care systems, depending on resource availability. Such conclusions should be generalized with care. First, the test was evaluated in the hyperepidemic stage of the outbreak, when the majority of suspected cases were confirmed. The performance of the test would likely be different if the eligibility criteria had to be applied to low‐prevalence settings, where the number of COVID‐19 patients among those with aspecific signs and symptoms is small. Second, ED presentation patterns differ across countries, given the heterogeneity of access to and utilization of the health care systems and of restrictions during the pandemic. These comments warrant further evaluations of the QWT in regions and countries diversely affected by COVID‐19 outbreaks. The main limitation of our study is the fact that the test was not administered to all the eligible patients who arrived at the ED in the study period. The centers performed the QWT in an emergency situation, without a formal study protocol, and the outcome was retrospectively collected for this observational study. Unfortunately, we were not able to reconstruct the exact number of eligible patients. Nevertheless, the centers performed the test using the same policy, shared through the Fenice network. In summary, albeit further prospective studies are essential to confirm our findings, we believe the QWT to be promising, because it can be performed rapidly, without specialized equipment and by nonmedical staff, and may have the potential to reliably identify the patients who can be safely discharged home or hospitalized in low‐intensive regimens, after the ED visit. Data Supplement S1. Supplemental material. Click here for additional data file.
  10 in total

Review 1.  The walking capacity assessment in the respiratory patient.

Authors:  Alfredo Chetta; Giovanna Pisi; Marina Aiello; Panagiota Tzani; Dario Olivieri
Journal:  Respiration       Date:  2009-05-28       Impact factor: 3.580

2.  COVID-19 patients with respiratory failure: what can we learn from aviation medicine?

Authors:  William Ottestad; Signe Søvik
Journal:  Br J Anaesth       Date:  2020-04-18       Impact factor: 9.166

3.  Emergency Department and Out-of-Hospital Emergency System (112-AREU 118) integrated response to Coronavirus Disease 2019 in a Northern Italy centre.

Authors:  Stefano Perlini; Fabrizio Canevari; Sergio Cortesi; Vito Sgromo; Antonella Brancaglione; Enrico Contri; Pietro Pettenazza; Francesco Salinaro; Francesco Speciale; Giuseppe Sechi; Claudio Mare; Sara Cutti; Viola Novelli; Carlo Marena; Alba Muzzi; Raffaele Bruno; Alessandra Palo
Journal:  Intern Emerg Med       Date:  2020-06-08       Impact factor: 3.397

4.  Characterization and clinical course of 1000 patients with coronavirus disease 2019 in New York: retrospective case series.

Authors:  Michael G Argenziano; Samuel L Bruce; Cody L Slater; Jonathan R Tiao; Matthew R Baldwin; R Graham Barr; Bernard P Chang; Katherine H Chau; Justin J Choi; Nicholas Gavin; Parag Goyal; Angela M Mills; Ashmi A Patel; Marie-Laure S Romney; Monika M Safford; Neil W Schluger; Soumitra Sengupta; Magdalena E Sobieszczyk; Jason E Zucker; Paul A Asadourian; Fletcher M Bell; Rebekah Boyd; Matthew F Cohen; MacAlistair I Colquhoun; Lucy A Colville; Joseph H de Jonge; Lyle B Dershowitz; Shirin A Dey; Katherine A Eiseman; Zachary P Girvin; Daniella T Goni; Amro A Harb; Nicholas Herzik; Sarah Householder; Lara E Karaaslan; Heather Lee; Evan Lieberman; Andrew Ling; Ree Lu; Arthur Y Shou; Alexander C Sisti; Zachary E Snow; Colin P Sperring; Yuqing Xiong; Henry W Zhou; Karthik Natarajan; George Hripcsak; Ruijun Chen
Journal:  BMJ       Date:  2020-05-29

5.  Clinical Characteristics of Coronavirus Disease 2019 in China.

Authors:  Wei-Jie Guan; Zheng-Yi Ni; Yu Hu; Wen-Hua Liang; Chun-Quan Ou; Jian-Xing He; Lei Liu; Hong Shan; Chun-Liang Lei; David S C Hui; Bin Du; Lan-Juan Li; Guang Zeng; Kwok-Yung Yuen; Ru-Chong Chen; Chun-Li Tang; Tao Wang; Ping-Yan Chen; Jie Xiang; Shi-Yue Li; Jin-Lin Wang; Zi-Jing Liang; Yi-Xiang Peng; Li Wei; Yong Liu; Ya-Hua Hu; Peng Peng; Jian-Ming Wang; Ji-Yang Liu; Zhong Chen; Gang Li; Zhi-Jian Zheng; Shao-Qin Qiu; Jie Luo; Chang-Jiang Ye; Shao-Yong Zhu; Nan-Shan Zhong
Journal:  N Engl J Med       Date:  2020-02-28       Impact factor: 91.245

6.  Development and Validation of the Quick COVID-19 Severity Index: A Prognostic Tool for Early Clinical Decompensation.

Authors:  Adrian D Haimovich; Neal G Ravindra; Stoytcho Stoytchev; H Patrick Young; Francis P Wilson; David van Dijk; Wade L Schulz; R Andrew Taylor
Journal:  Ann Emerg Med       Date:  2020-07-21       Impact factor: 5.721

7.  Severity of respiratory failure and outcome of patients needing a ventilatory support in the Emergency Department during Italian novel coronavirus SARS-CoV2 outbreak: Preliminary data on the role of Helmet CPAP and Non-Invasive Positive Pressure Ventilation.

Authors:  Andrea Duca; Irdi Memaj; Federico Zanardi; Carlo Preti; Andrea Alesi; Lorenzo Della Bella; Elena Ghezzi; Fabiano Di Marco; Ferdinando Luca Lorini; Serena Venturelli; Stefano Fagiuoli; Roberto Cosentini
Journal:  EClinicalMedicine       Date:  2020-06-18

8.  Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study.

Authors:  Fei Zhou; Ting Yu; Ronghui Du; Guohui Fan; Ying Liu; Zhibo Liu; Jie Xiang; Yeming Wang; Bin Song; Xiaoying Gu; Lulu Guan; Yuan Wei; Hui Li; Xudong Wu; Jiuyang Xu; Shengjin Tu; Yi Zhang; Hua Chen; Bin Cao
Journal:  Lancet       Date:  2020-03-11       Impact factor: 79.321

9.  European Society For Emergency Medicine position paper on emergency medical systems' response to COVID-19.

Authors:  Luis Garcia-Castrillo; Roberta Petrino; Robert Leach; Christoph Dodt; Wilhelm Behringer; Abdo Khoury; Marc Sabbe
Journal:  Eur J Emerg Med       Date:  2020-06       Impact factor: 4.106

10.  The Quick Walk Test: A Noninvasive Test to Assess the Risk of Mechanical Ventilation During COVID-19 Outbreaks.

Authors:  Stefano Paglia; Giovanni Nattino; Federica Occhipinti; Luca Sala; Elena Targetti; Francesca Cortellaro; Roberto Cosentini; Giorgio Costantino; Ferdinando Fichtner; Marta Mancarella; Claudia Marinaro; Cristina Sorlini; Guido Bertolini
Journal:  Acad Emerg Med       Date:  2020-12-15       Impact factor: 5.221

  10 in total
  4 in total

1.  An integrated emergency department/hospital at home model in mild COVID-19 pneumonia: feasibility and outcomes after discharge from the emergency department: comment.

Authors:  Giovanni Nattino; Stefano Paglia
Journal:  Intern Emerg Med       Date:  2021-04-17       Impact factor: 3.397

2.  Discharge from the emergency department and early hospital revaluation in patients with COVID-19 pneumonia: a prospective study.

Authors:  Massimo Mattioli; Devis Benfaremo; Francesca Fulgenzi; Silvia Gennarini; Luciano Mucci; Flavia Giorgino; Gabriele Frausini; Gianluca Moroncini; Umberto Gnudi
Journal:  Clin Exp Emerg Med       Date:  2022-03-31

3.  Effect of breathing intervention in patients with COVID and healthcare workers.

Authors:  Manjari Rain; Goverdhan Dutt Puri; Aashish Bhalla; Pramod Avti; Balachundhar Subramaniam; Vipin Kaushal; Vinod Srivastava; Pranay Mahajan; Mini Singh; Navin Pandey; Pankaj Malhotra; Sonu Goel; Krishan Kumar; Naresh Sachdeva; Kalyan Maity; Prashant Verma; Nishant Dixit; Sheetal Jindal Gupta; Priya Mehra; Pooja Nadholta; Radhika Khosla; Shweta Ahuja; Akshay Anand
Journal:  Front Public Health       Date:  2022-09-30

4.  The Quick Walk Test: A Noninvasive Test to Assess the Risk of Mechanical Ventilation During COVID-19 Outbreaks.

Authors:  Stefano Paglia; Giovanni Nattino; Federica Occhipinti; Luca Sala; Elena Targetti; Francesca Cortellaro; Roberto Cosentini; Giorgio Costantino; Ferdinando Fichtner; Marta Mancarella; Claudia Marinaro; Cristina Sorlini; Guido Bertolini
Journal:  Acad Emerg Med       Date:  2020-12-15       Impact factor: 5.221

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.