Literature DB >> 35372609

Six-minute walk test and its predictability in outcome of COVID-19 patients.

Kamal Bandhu Klanidhi1, Avinash Chakrawarty1, Shailendra S Bhadouria2, Sudeep M George1, Gaurav Sharma1, Prasun Chatterjee1, Vijay Kumar1, Saurabh Vig3, Nishkarsh Gupta3, Vishwajeet Singh1, Aparajit Ballav Dey4, Anant Mohan4, Sushma Bhatnagar4.   

Abstract

BACKGROUND: The world is worsely hit by the COVID-19 pandemic resulting in increased morbidity and mortality. Increased mortality has been observed in older adults with multiple comorbidities. Six-minute walk distance (6MWD) at admission can help us to guide the requirement of oxygen during hospital stay that can be used to determine which patient can be managed at home.
MATERIALS AND METHODS: This study was a prospective observational study conducted on COVID-19 patients admitted at AIIMS, New Delhi, from October to December 2020. Patients aged more than 60 years were included in the study and underwent 6-min walk tests. Polypharmacy and multimorbidity were also assessed along with dyspnea which was measured on BORG scale. P < 0.05 was considered statistically significant. Statistical software STATA (version 14.2) was used for all the analyses.
RESULTS: The mean age of the study population was 68.76 (7.4). Oxygen saturation prior to the 6-MWT was normal and has significantly higher than the post test (P ≤ 0.001). 6MWD was significantly correlated with pre values of oxygen saturation. 6MWD was observed more in patients who did not require oxygen during hospital stay. Self-reported dyspnea, pulse rate, oxygen saturation, and systolic blood pressure were significantly associated with the patients who had an oxygen requirement during the hospital stay.
CONCLUSION: Self-reported dyspnea after 6MWT was found to be associated with oxygen requirement during hospital stay. Patients who have covered more distance in 6-min walk test have less oxygen requirement during hospital stay hence can be managed at home. This will reduce the health-care burden and will help to tackle the outburst during the ongoing pandemic. Copyright:
© 2022 Journal of Education and Health Promotion.

Entities:  

Keywords:  COVID-19; oxygen requirement; six-minute walk test

Year:  2022        PMID: 35372609      PMCID: PMC8975019          DOI: 10.4103/jehp.jehp_544_21

Source DB:  PubMed          Journal:  J Educ Health Promot        ISSN: 2277-9531


Introduction

COVID-19 has resulted in an increased burden to hospitals and health-care professionals.[1] A rapid surge in cases of COVID-19 has been noted in India which has resulted in very difficult and desperate situations. To have a better outcome, the case burden should be less than the treatment capacity of the health-care delivery system. Its adverse outcome is seen in older people with chronic illnesses and multiple comorbidities.[2] Increased age and multiple comorbidities had been seen to be associated with increased hospital stay, intensive care unit (ICU) admission, and mortality among older people. COVID-19 has been found to involve multiple organs, but pneumonia is the most common clinical presentation and it ranges from mild asymptomatic cases to respiratory failure.[3] Reduced lung reserve[4] and compliance resulted in poor outcomes of COVID-19 infection in older people. Six-minute walk test is done to measure the aerobic capacity and endurance in people. Distance covered during 6 min of the walk can be used to compare performance capacity and hence outcome in COVID-19 patients. Six-minute walk distance (6MWD) has been seen to be used as a predictor of mortality in the outcome of idiopathic pulmonary fibrosis (IPF) patients. Both 6MWD and change in 6MWD are independent predictors of mortality in patients with IPF.[5] Values of 6MWD <330 m and <70% of predicted value were associated with lower survival time in IPF patients.[6] Although vaccination against COVID-19 has been started, vaccination of all individuals across the world is tedious. By the time everyone is vaccinated, we should practice the COVID-appropriate behavior to curtail its spread and break the chain of its spread.[7] The use of clinical tests at the time of admission of COVID patients in the hospitals can reduce the burden and also results in the early discharge of admitted patients. It can also be used as a deciding factor which patients can be managed at home. Considering the above situation, this study is designed to check whether a 6-min walk test can be used as a predictor in the outcome of COVID-19 patients. The 6-min walk test has been conducted according to ATS protocol[8910] on those patients who consented to participate in the study.

Materials and Methods

Study design and settings

A prospective observational study was conducted at All India Institute of Medical Sciences, New Delhi, India. The aim of the study was to evaluate the role of the 6-min walk test as a predictor of outcomes in older patients with COVID-19 infections. All the patients aged 60 or more presenting with severe acute respiratory illness due to COVID-19 during a specific time period of mid-October to mid-December 2020 were included in the study. Patients who are on oxygen at the time of admission, with acute joint pain, and did not consent to participate in the study were excluded.

Data collection tools and technique

Baseline demographic characteristics were obtained from the hospital records at the time of admission, and history regarding previous comorbidities was also taken. Accordingly, a baseline 6-min walk test has been conducted to look for its association with the outcome of COVID-19-hospitalized patients. Vitals were recorded at the time of admission as well as both before and after 6-min walk tests. BORG scale for dyspnea had been used at both pre and post 6-min walk tests to look for breathlessness. The usage of five or more drugs was used as the criteria for the diagnosis of polypharmacy. The patients were monitored for their outcomes such as oxygen requirement, ICU stay, or ventilatory requirement during their hospital stay. Final outcomes such as discharge or death and duration of stay in hospital have also been recorded.

Ethical consideration

Ethical clearance was taken from the local ethics body of the institution (permission number IEC/748/07.08.2020, RP 03/2020).

Statistical analysis

Values obtained by the study of each qualitative variable were expressed as absolute and relative frequencies, whereas continuous variables were organized as mean (standard deviation [SD]) and/or median (range). To find the association between two qualitative variables, Chi-square test or Fisher's exact test was applied, and to compare the quantitative variables between two groups, t-test or Wilcoxon rank-sum test was used according to the distribution of the data. To determine the statistically significant differences between three or more independent (unrelated) groups, analysis of variance was used. To measure the correlation between quantitative variables, Pearson correlation or Spearman rank correlation was used as required. P < 0.05 was considered statistically significant. Statistical software STATA-SE (version 14.2) (StataCorp, College Station, TX, U.S.A) was used for all the analyses.

Results

The mean (SD) of the study population is 68.76 (7.4) and comprises 41% of the female population. About one-third of the study population belongs to rural backgrounds and 80% of the population were literate. All the older adults included in the study were taken care of by their family members. Eighty-two percent of the study population considered that COVID-19 is itself a risk factor for stress among them. Further, out of the total, 57 of the older adults who participated in the study can walk independently, whereas 3 were using sticks to walk. Hypertension (58%) and diabetes (46%) were the two most common comorbidities found in the study population. Other common comorbidities were chronic obstructive pulmonary disease (COPD), coronary artery disease, and osteoarthritis. Disease comorbidities profiles are mentioned in Table 1. Again, 11% of the patients have no comorbidities at the time of presentation. Polypharmacy was seen in 33% of the study population.
Table 1

Demographic characteristics of the study population

CharacteristicsNumber (n=60), n (%)
Sex
 Female25 (41.67)
 Male35 (58.33)
Locality
 Rural18 (30.00)
 Urban42 (70.00)
Education
 Illiterate12 (20.00)
 Up to class 1019 (31.67)
 Undergraduate24 (40.00)
 Postgraduate58.33
Caretaker
 Family members60 (100)
 Self0
COVID-19 itself as an independent risk factor for stress49 (81.67)
Able to walk
 Independent57 (95.00)
 Walk with use of stick3 (5.00)
Hypertension35 (58.33)
Diabetes28 (46.67)
Coronary artery disease10 (16.67)
Osteoarthritis2 (3.33)
Chronic obstructive airway disease8 (13.33)
Benign prostatic hyperplasia2 (3.33)
Hypothyroidism5 (8.33)
Comorbidities
No illness7 (11.67)
MDR tuberculosis2 (3.33)
Chronic kidney disease Stage 4 and above3 (5.00)
Cerebrovascular accident2 (3.33)
Malignancy4 (6.67)
Urine incontinence2 (3.33)
Atrial fibrillation2 (3.33)
Others6 (10.00)
Past history of surgery16 (26.67)
Polypharmacy23 (38.33)

MDR=Multi drug resistant

Demographic characteristics of the study population MDR=Multi drug resistant Oxygen saturation prior to the 6-min walk test was normal and has a higher value than the post 6-min walk test (P ≤ 0.001) [Table 2]. Systolic blood pressure (BP) after the 6-min walk test was significantly higher than the pre test (P = 0.005) [Table 2], however, diastolic BP was not significantly higher than pre value. Further, the pulse rate after the 6-min walk test was significantly higher than the pre 6-min walk value (P = 0.002). BORG scale score was also significantly higher in the post 6-min walk test (P ≤ 0.001) [Table 2].
Table 2

Vitals prior and post 6-min walk test

CharacteristicsPrior 6-min walk testPost 6-min walk test P
Oxygen saturation (SpO2)
 Mean (±SD)97 (±1.79)95.45 (±2.58)<0.001
 Median (IQR)98 (2)96.5 (4.5)
Systolic blood pressure
 Mean (±SD)133.55 (±13.36)135.98 (±13.56)0.005
 Median (IQR)133 (12.5)134 (10)
Diastolic blood pressure
 Mean (±SD)80.95 (±6.54)82.23 (±6.64)0.086
 Median (IQR)81 (10)82 (10)
Pulse rate
 Mean (±SD)84 (±12.60)86.47 (±12.76)0.002
 Median (IQR)81 (10)86 (12)
BORG scale
 Mean (±SD)0.25 (±0.39)0.97 (±1.17)<0.001
 Median (IQR)0 (0.5)0.5 (2)

SD=Standard deviation, IQR=Interquartile range, Spo2=Oxygen saturation, BORG

Vitals prior and post 6-min walk test SD=Standard deviation, IQR=Interquartile range, Spo2=Oxygen saturation, BORG We correlate the distance covered during the 6-min walk test with pre values of oxygen saturation, pulse rate, dyspnea measured on BORG scale, systolic BP, and diastolic BP. A significant association was found with BORG scale (P ≤ 0.001) [Table 3].
Table 3

Association of measured variables pre 6-min walk test with distance covered

VariablesCorrelation coefficient P
Spo20.2810.030
Blood pressure
 Systolic−0.1840.160
 Diastolic−0.0160.921
 Pulse rate−0.2250.083
 BORG scale−0.60<0.001

Spo2=Oxygen saturation, BORG

Association of measured variables pre 6-min walk test with distance covered Spo2=Oxygen saturation, BORG We also explore the relationship of oxygen required/not required patients during hospital stay with age, 6MWD, and BORG scale. No significant difference of age (69.66 [±7.57] vs. 68.61 [±7.44]) in oxygen required and oxygen not required was observed (P = 0.696) [Table 4]. The 6MWD was lower in the oxygen requirement group (476.67 [±149.33]) as compared to the oxygen not required group (574.01 [±184.88]) and was not statistically significant (P = 0.140). Further, BORG score in the oxygen required group (0.444 [±0.30]) was significantly higher than the oxygen not required group (0.216 [±0.403]) (P = 0.015).
Table 4

Association of outcome (oxygen requirement) with other measured variables

VariablesMean (±SD) P

Oxygen requirement (number=9)Oxygen not required (number=51)
Distance covered476.67 (±149.33)574.02 (±184.88)0.140
BORG scale0.44 (±0.30)0.22 (±0.40)0.015
Age69.66 (±2.52)68.60 (±1.04)0.696

SD=Standard deviation

Association of outcome (oxygen requirement) with other measured variables SD=Standard deviation

Discussion

About 82% of the study population considers that COVID is itself a risk factor for stress as this pandemic has resulted in both physical and social isolation. Older adults were restricted to participate in social gatherings, lockdown resulted in limitations of outdoor activities, and increased morbidity and mortality due to COVID resulted in increased stress.[11] Polypharmacy was seen in older adults because of increased comorbidity with increasing age.[12] Hypertension and diabetes were the two most common comorbidity seen in older adults. Hypertension and diabetes are the two most common causes of noncommunicable disease which is also seen in our study. Oxygen saturation prior to the start of 6 min was normal, but it decreased significantly after 6 min of walking, which may be due to decreased respiratory reserve in older people or due to COVID-19 infection.[13] Systolic BP also rises significantly after a 6-min walk which was also seen in a previous study.[14] Self-reported dyspnea as measured on BORG scale was also more as compared with prior to 6-min walk test. It also showed a significant association with oxygen requirements during hospital stay (P = 0.015). Those subjects who had increased dyspnea after a 6-min walk test are more likely to require oxygen during hospital stay. It has been seen that half of the COVID patients who also developed dyspnea after a 6-min walk test, of which one-third of them have pulmonary embolism, however, the sample size was less in their study.[15] 6MWD was less in patients who required oxygen during hospital stay. It indicates that patients who covered less distance have increased risk of desaturation, so they should be monitored strictly either in hospital stay or in home isolation. However, the values were not statistically significant, but we can conclude that those subjects who covered less distance should be admitted in the hospital and monitored. Six-minute walk test has been used as a predictor of survival in COPD.[16] Oxygen saturation at the time of admission was also on the lower side in patients who require oxygen during hospital stay and its association was significant. Those subjects who had lower oxygen saturation in the beginning should be strictly monitored during the illness. This study focuses on older adults with multimorbidity having COVID-19 infection and its outcome. This is probably the first study of its kind which focuses on 6-min walk test and its outcome in older adults having COVID infections. Six-minute walk test can be used as a predictor for outcome of COVID-19 patients. Six-minute walk test can be used as a screening tool for admission of patients.

Limitation

6MWD is not significantly associated with oxygen requirement during hospital stay though the distance covered is less in patients who require oxygen during the hospital stay. Large numbers of sample sizes may be required to establish the significant association.

Conclusion

Self-reported dyspnea after a 6-min walk test has been found to have increased requirement of oxygen during hospital stay. Patients who have distance covered more are likely to have less requirement of oxygen during hospital stay. Oxygen saturation as measured on pulse oximeters is also less in subjects who require oxygen. Chronological age is not associated with oxygen requirement as well as poor outcome in patients with COVID-19 infections.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.
  15 in total

1.  ATS statement on six-minute walk test.

Authors:  Dina Brooks; Sherra Solway; William J Gibbons
Journal:  Am J Respir Crit Care Med       Date:  2003-05-01       Impact factor: 21.405

2.  ATS statement: guidelines for the six-minute walk test.

Authors: 
Journal:  Am J Respir Crit Care Med       Date:  2002-07-01       Impact factor: 21.405

3.  Pulse oximetry oxygen saturation during the 6-min walk test: a limit for stopping the test without resuming it.

Authors:  Giancarlo Piaggi; Simone Gambazza; Riccardo Guarise; Manuela Piran
Journal:  Eur Respir J       Date:  2015-10       Impact factor: 16.671

4.  Presenting Characteristics, Comorbidities, and Outcomes Among 5700 Patients Hospitalized With COVID-19 in the New York City Area.

Authors:  Safiya Richardson; Jamie S Hirsch; Mangala Narasimhan; James M Crawford; Thomas McGinn; Karina W Davidson; Douglas P Barnaby; Lance B Becker; John D Chelico; Stuart L Cohen; Jennifer Cookingham; Kevin Coppa; Michael A Diefenbach; Andrew J Dominello; Joan Duer-Hefele; Louise Falzon; Jordan Gitlin; Negin Hajizadeh; Tiffany G Harvin; David A Hirschwerk; Eun Ji Kim; Zachary M Kozel; Lyndonna M Marrast; Jazmin N Mogavero; Gabrielle A Osorio; Michael Qiu; Theodoros P Zanos
Journal:  JAMA       Date:  2020-05-26       Impact factor: 56.272

5.  Lifestyle risk factors and infectious disease mortality, including COVID-19, among middle aged and older adults: Evidence from a community-based cohort study in the United Kingdom.

Authors:  Matthew N Ahmadi; Bo-Huei Huang; Elif Inan-Eroglu; Mark Hamer; Emmanuel Stamatakis
Journal:  Brain Behav Immun       Date:  2021-04-30       Impact factor: 7.217

Review 6.  Protocol variations and six-minute walk test performance in stroke survivors: a systematic review with meta-analysis.

Authors:  A Dunn; D L Marsden; E Nugent; P Van Vliet; N J Spratt; J Attia; R Callister
Journal:  Stroke Res Treat       Date:  2015-01-20

7.  Six-minute walk distance and survival time in patients with idiopathic pulmonary fibrosis in Brazil.

Authors:  Eliane Viana Mancuzo; Maria Raquel Soares; Carlos Alberto de Castro Pereira
Journal:  J Bras Pneumol       Date:  2018 Jul-Aug       Impact factor: 2.624

8.  COVID-19 and the "Stay at home" recommendation: An ethnographic study.

Authors:  Amirahmad Shojaei; Pooneh Salari
Journal:  J Educ Health Promot       Date:  2021-02-27

9.  Impact of COVID-19 on lifestyle-related behaviours- a cross-sectional audit of responses from nine hundred and ninety-five participants from India.

Authors:  Sakshi Chopra; Piyush Ranjan; Vishwajeet Singh; Suraj Kumar; Mehak Arora; Mohamed Shuaib Hasan; Rhytha Kasiraj; Divjyot Kaur; Naval K Vikram; Anita Malhotra; Archana Kumari; Kamal Bandhu Klanidhi; Upendra Baitha
Journal:  Diabetes Metab Syndr       Date:  2020-10-06
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1.  Global prevalence of polypharmacy among the COVID-19 patients: a comprehensive systematic review and meta-analysis of observational studies.

Authors:  Hooman Ghasemi; Niloofar Darvishi; Nader Salari; Amin Hosseinian-Far; Hakimeh Akbari; Masoud Mohammadi
Journal:  Trop Med Health       Date:  2022-08-31
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