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. 2021 Nov 13;50(4):383–389. doi: 10.1016/j.ajic.2021.10.039

Clinical characteristics and symptom duration among outpatients with COVID-19

Alexandra Lane a,⁎, Krystal Hunter b, Elizabeth Leilani Lee a, Daniel Hyman a, Peter Bross a, Andrew Alabd a, Melanie Betchen a, Vittorio Terrigno a, Shikha Talwar a, Daniel Ricketti a, Bennett Shenker c, Thomas Clyde a, Brian W Roberts d
PMCID: PMC8590478  PMID: 34780804

Abstract

Background

Approximately 80% of people with COVID-19 do not require hospitalization. Studies examining the outpatient experience have not tracked symptoms to resolution leading to unknown expected symptom duration. Our objectives were to (1) determine symptom duration among patients with COVID-19 who do not require hospitalization and (2) identify potential risk factors associated with prolonged symptom duration.

Design

This is a retrospective cohort study conducted across an academic healthcare system including adult patients with laboratory‐confirmed SARS-CoV-2 infection between March 18th and April 28th, 2020 who were not hospitalized. Symptom duration encompassed time from patient-reported symptom onset as documented in the chart until documented symptom resolution. We calculated the median symptom duration and tested if demographics, comorbidities, or reported symptoms were associated with symptom duration.

Key results

Of 294 patients meeting inclusion criteria, 178 (60.5%) had documented symptom resolution. The median [interquartile range (IQR)] symptom duration for included patients was 15 (8-24) days. No associations were found between comorbidities and symptom duration. Factors associated with prolonged symptom duration were presence vs lack of lower respiratory symptoms [median (IQR) 16.5 (10.75-33.5) vs 14.5 (7-21.75) days respectively, P < .001] and neurologic symptoms [median (IQR) 17 (9-28) vs 9.5 (4-17) days, P < .001] at disease onset.

Conclusions

The median symptom duration in outpatients is 15 days and over 25% of patients have symptoms longer than 21 days.

Key Words: Coronavirus infections, Risk factors, Ambulatory care, Recovery of function, Outpatients statistics and numerical data

Background

The novel coronavirus disease 2019 (COVID-19) is a disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which has caused a global pandemic. While there are numerous studies examining the clinical course of patients with COVID-19 requiring hospitalization or critical care,1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 there is limited data describing the disease course in the outpatient population despite the fact that most patients with COVID-19 do not require hospitalization.15, 16, 17, 18, 19, 20, 21, 22, 23 Older age and the presence of specific medical conditions have previously been associated with illness severity among adults hospitalized with COVID-19.24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35 Both age and specific medical conditions have been associated with greater susceptibility to the disease and prolonged illness in outpatient populations, although data supporting these findings are limited.15 , 35, 36, 37 Several studies have described symptoms at presentation and used pre-specified time periods to check patient symptoms.15 , 18 , 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51 However, to our knowledge, only two studies have followed subjects to symptom resolution,20 , 21 and no study has tested if symptoms at disease onset are predictive of symptom duration.

Objective

Our objectives were to (1) determine the symptom duration among patients with COVID-19 who do not require hospitalization and (2) identify potential risk factors associated with prolonged duration of symptoms.

Methods

Study design and participants

This retrospective cohort study was conducted across a United States academic healthcare system. The study was approved by the hospital institutional review board with a waiver of informed consent. We included adult patients diagnosed with COVID-19 in the outpatient setting (excluding the emergency department) between March 18, 2020 and April 28, 2020. Inclusion criteria were: (1) adult patients (ie, age ≥18 years); (2) reverse transcription polymerase chain reaction (RT-PCR) confirmed SARS-CoV-2 infection; and (3) primary care received within our healthcare system. We chose the study inclusion dates because during this period our institution limited testing to those with at least one symptom of COVID-19 and at least one risk factor—because of the limitations and the relative novelty of the disease, close follow up was possible and the standard of care. After April 28, 2020, restrictions were no longer placed on testing and thus close follow up was no longer feasible due to the high volume of testing. Symptoms were defined as cough, shortness of breath, or fever (T>100°F). Risk factors were defined according to Centers for Disease Control (CDC) as being a healthcare worker or first responder (emergency medical services, firefighters, police, etc.), resident of an institutional home setting (group home, barracks, etc.), having an age greater than 65 years, being in an immunocompromised state, pregnancy, chronic lung disease, congestive heart failure, end-stage renal disease/dialysis, uncontrolled diabetes, or vulnerable household contacts with these same risk factors as above. 55 Patients were excluded if they tested negative for COVID-19, if they had suspicious symptoms for COVID-19 but were not tested, if they were admitted to the hospital due to COVID-19, or if symptom duration could not be determined. Reasons for indeterminate symptom resolution were presence of symptoms at time of data collection, conflicting dates of symptom resolution recorded in the EMR, patient being lost to immediate follow up with documentation in the EMR that symptoms had resolved without an exact date, and patient lost to any follow up. The reporting of this study conforms to the Strengthening the Reporting of Observational Studies in Epidemiology statement.52

Data collection

Investigators reviewed the electronic medical record [EPIC (EPIC Systems Corporation, WI)] and abstracted data for each subject. A standardized data extraction form and predefined definitions of variables were used for all data collection (Appendix). The abstractors held periodic meetings to review coding rules and to monitor performance.53 We calculated the intraclass correlation coefficient to determine inter-observer agreement between the abstractors based on a 10% sample of cases selected at random.

Table 2.

Symptoms during COVID-19 Illness

All Subjects (Percent) n = 294 Included n = 178 Excluded* n = 116 P-value
Symptoms at Illness Onset
Cough 201 (68.4%) 117 (65.7%) 84 (72.4%) .22
Fever > 100 degrees 162 (55.1%) 98 (55.1%) 64 (55.2%) .98
Myalgias 118 (40.1%) 69 (38.8%) 49 (42.2%) .55
Chills 82 (27.9%) 37 (20.8%) 45 (38.8%) <.001
Headache 78 (26.5%) 45 (25.3%) 33 (28.4%) .54
Fatigue 68 (23.1%) 41 (23%) 27 (23.3%) .96
Rhinorrhea 59 (20.1%) 33 (18.5%) 26 (22.4%) .41
SOB 53 (18%) 26 (14.6%) 27 (23.3%) .05
Sore Throat 50 (17%) 28 (15.7%) 22 (18.9%) .47
Anosmia 46 (15.6%) 28 (15.7%) 18 (15.5%) .96
Diarrhea 32 (10.9%) 19 (10.7%) 13 (11.2%) .88
Nausea 24 (8.2%) 15 (8.4%) 9 (7.8%) .83
Sputum Production 19 (6.4%) 11 (6.2%) 8 (6.9%) .80
Vomiting 14 (4.8%) 5 (2.8%) 9 (7.8%) .05
DOE 13 (4.4%) 6 (3.4%) 7 (6 %) .27
Conjunctivitis 0 (0%) 0 (0%) 0 (0%) –
Symptoms at Any Point in Illness*
Cough 241 (82%) 139 (78.1%) 102 (87.9%) .03
Fever >100 degrees 200 (68%) 120 (67.4%) 80 (68.9%) .78
Myalgias 151 (51.4%) 86 (48.3%) 65 (56%) .19
Headache 112 (38.1%) 65 (36.5%) 47 (40.5%) .49
Fatigue 106 (36.1%) 61 (34.3%) 45 (38.8%) .43
SOB 102 (34.7%) 52 (29.2%) 50 (43.1%) .01
Chills 99 (33.7%) 49 (27.5%) 50 (43.1%) .006
Rhinorrhea 79 (26.9%) 44 (24.7%) 35 (30.2%) .30
Anosmia 76 (25.9%) 49 (27.5%) 27 (23.3%) .41
Diarrhea 69 (23.5%) 41 (23%) 28 (24.1%) .82
Sore Throat 66 (22.4%) 37 (20.8%) 29 (25%) .39
Nausea 40 (13.6%) 24 (13.5%) 16 (13.8%) .94
DOE 39 (13.3%) 16 (8.9%) 23 (19.8%) .007
Sputum Production 35 (11.9%) 20 (11.2%) 15 (12.9%) .66
Vomiting 14 (4.8%) 5 (2.8%) 9 (7.8%) .05
Conjunctivitis 2 (0.7%) 0 (0%) 2 (1.7%) .15
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SOB, shortness of breath; DOE, dyspnea on exertion.

⁎

This is for symptoms that were present at least once in patient's chart during documented illness period.

We recorded demographics and medical comorbidities. Zip code data were collected and used as a surrogate for socioeconomic status. We defined low socioeconomic status as having a zip code within Camden City, NJ. Camden City was designated by the 2010 U.S. Census Bureau as the second poorest city with a population over 65,000 in the U.S. Camden families earned an average of $33,120 in 2019, which is far below the state median family income of $85,751.54

We recorded all documented patient-reported symptoms. We defined symptoms at disease onset as the first symptoms the patient identified as a change from baseline and symptoms during disease course as any symptom the patient identified from the change in their baseline to symptom resolution. For both symptoms at disease onset and symptoms during disease course we categorized symptoms as respiratory (cough, shortness of breath, and dyspnea on exertion), neurological (headache, myalgia, and fatigue), or gastrointestinal symptoms (nausea, vomiting, and diarrhea). During the data-collection period, the included pre-defined symptoms included were those identified by the CDC as being associated with COVID-19.55 In addition to the previously mentioned symptoms, these symptoms included a fever >100° Fahrenheit, chills, sputum production, sore throat, rhinorrhea, anosmia, conjunctivitis, myalgias, nausea, vomiting, and fatigue. We also included a category for other symptoms not included in this list.

Main measures

The primary outcome was symptom duration, defined as the number of days a patient had one or more symptoms associated with RT-PCR-confirmed SARS-CoV-2 infection. We used patient-reported onset of symptoms and symptoms were followed until documented resolution. The chart had to have explicit documentation of the date when patients reported their symptoms had ended. During our study, primary care offices and the public health department followed patients closely, and common practice at the time was to call patients every two days to monitor and document symptoms until resolution using a standardized question form. As the number of patients with COVID-19 grew, this follows up practice did decrease prior to the conclusion of the study dates and physicians often stopped calling patients when the majority of symptoms resolved and patients reported feeling well otherwise. We defined prolonged symptoms as symptoms lasting longer than the recommended isolation period of 10 days. We entered all data into a Research Electronic Data Capture (REDCap, Vanderbilt University, TN) database56 , 57 and exported the data into SPSS 22 (IBM, Armonk, NY) for analysis of the data.

Statistical analysis

We performed descriptive analyses using means and standard deviations (SD) or medians and interquartile ranges (IQR), depending on the data distribution, for continuous variables; we used frequencies with proportions for categorical data. We calculated the median (IQR) symptom duration for the entire cohort. We compared demographics and reported symptoms between included patients versus excluded patients.

Among included patients, we performed univariable analyses to test for potential predictors of symptom duration using the Mann-Whitney U test. Potential risk factors tested included symptoms documented at disease presentation, comorbidities, and zip codes within Camden City. The significance level was P ≤ .05. We then looked at clusters of lower respiratory, neurologic, and gastrointestinal symptoms to determine if an association with time to resolution existed. We defined the clusters as follows: lower respiratory (cough, shortness of breath, dyspnea on exertion); gastrointestinal (nausea, vomiting, diarrhea); and neurologic (myalgia, fatigue, headache). Our goal was to determine if having more symptoms at onset in a particular organ system would have greater predictability in symptom duration. We did not adjust for multiple comparisons because this second objective was an exploratory analysis.

Key results

Demographic data

Of the 294 patients who met the inclusion criteria, symptom duration could be determined for 178 (60.5%) (Fig 1 ). The demographic data for the included cohort, as well as those excluded secondary to inability to determine symptom duration are displayed in Table 1 . The mean (SD) age was 47.2 (13.6) years. The majority of patients were women (57.9%). When stratifying by zip code we found that 26.4% of patients resided in Camden City. The majority of patients were Hispanic (37.1%), followed by Black non-Hispanic (27.5%) and White non-Hispanic (24.2%). We found only one significant difference in patient baseline characteristics: our included cohort was less likely to be non-Hispanic white.

Fig 1.

Fig 1

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Flow diagram of inclusion criteria.

Table 1.

Demographic characteristics and comorbidities of patients

Characteristic All Subjects (Percent) n = 294 Included n = 178 Excluded* n = 116 P-value
Sex
Women 174 (59.2%) 103 (57.9%) 71 (61.2%) .569
Age group (yrs) .518
18-34 67 (22.8%) 40 (22.5%) 27 (23.3%)
35-49 88 (29.9%) 50 (28.1%) 38 (32.7%)
50-64 116 (39.5%) 71 (39.9%) 45 (38.8%)
≥65 23 (7.8%) 17 (9.5%) 6 (5.2%)
BMI .693
Normal (18.5-24.9) 46 (15.6%) 28 (15.7%) 18 (15.5%)
Overweight (25-29.9) 87 (29.6%) 58 (32.6%) 29 (25%)
Class I Obesity (30-34.9) 82 (27.9%) 46 25.8% 36 (31%)
Class II Obesity (35-39.9) 37 (12.6%) 20 (11.2%) 17 (14.7%)
Class III Obesity (>40) 38 (12.9%) 23 (12.9%) 15 (12.9%)
Unknown 4 (1.4%) 3 (1.7%) 1 (0.9%)
Camden City Resident 74 (25.2%) 47 (26.4%) 27 (23.3%) .546
Race/Ethnicity
White/Non-Hispanic 86 (29.3%) 43 (24.2%) 43 (37.1%) .011
Black/Non-Hispanic 78 (26.5%) 49 (27.5%) 29 (25%) .711
Hispanic 98 (33.3%) 66 (37.1%) 32 (27.6%) .113
Asian 13 (4.4%) 10 (5.6%) 3 (2.6%) .230
Unknown 19 (6.5%) 10 (5.6%) 9 (7.7%) .466
Comorbidities
HTN 120 (40.1%) 75 (42.1%) 45(38.8%) .569
Smoking n = 293 n = 177 n = 116
 Positive Smoking Hx 89 (30.4%) 59 (33.3%) 30 (25.9%) .174
 Current Smoker 28 (9.6%) 21 (11.9%) 7 (6%) .097
DM1 2 (0.7%) 1 (0.6%) 1 (0.9%) 1.000
DM2 49 (16.4%) 28 (15.7%) 21 (18.1%) .594
Mild intermittent asthma 25 (8.4%) 13 (7.3%) 12 (10.3%) .361
Moderate persistent asthma 10 (3.3%) 9 (5.1%) 1 (0.9%) .095
Severe persistent asthma 2 (0.7%) 1 (0.6%) 1 (0.9%) 1.000
CAD 9 (3%) 4 (2.2%) 5 (4.3%) .326
Immunosuppressive condition 8 (2.7%) 4 (2.2%) 4 (3.4%) .716
Cancer 8 (2.7%) 4 (2.2%) 4 (3.4%) .716
COPD 5 (1.7%) 3 (1.7%) 2 (1.7%) 1.000
COPD on home oxygen 0 (0%) 0 (0%) 0 (0%) –
HFrEF 2 (0.7%) 1 (0.6%) 1 (0.9%) 1.000
HFpEF 0 (0%) 0 (0%) 0 (0%) –
PAD 2 (0.7%) 0 (0%) 2 (1.7%) .155
Chronic steroid use 2 (0.7%) 2 (1.1%) 0 (0%) .521
Liver cirrhosis 1 (0.3%) 1 (0.6%) 0 (0%) 1.000
ESRD 0 (0%) 0 (0%) 0 (0%) –
Hyperlipidemia 40 (13.6%) 26 (14.1%) 14 (12.1%) .535
Anxiety 30 (10.2%) 17 (9.6%) 13 (11.2%) .647
OSA 24 (8.2%) 15 (8.4%) 9 (7.6%) .838
GERD 24 (8.2%) 18 (10.1%) 6 (5.2%) .131
Depression 21 (7.1%) 11 (6.2%) 10 (8.6%) .427
Allergic rhinitis 14 (4.8%) 10 (5.6%) 4 (3.4%) .393
Pre-diabetes 11 (3.7%) 7 (3.9%) 4 (3.4%) 1.000
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BMI, body mass index; CAD, coronary artery disease; COPD, chronic obstructive pulmonary disease; DM1, diabetes mellitus type 1; DM2, diabetes mellitus type 2; ESRD. End stage renal disease; HFpEF, heart failure with preserved ejection fraction; HTN, hypertension; IQR, interquartile range; HFrEF, heart failure with reduced ejection fraction; PAD, peripheral arterial disease; SD, standard deviation.

⁎

Excluded secondary to inability to determine symptom duration.

Clinical outcomes

Symptoms

The most common symptoms at presentation are presented in Table 2 . The most common symptoms at presentation were cough (65.7%), fever (55.1%), and myalgia (38.8%). Similarly, the most common symptoms at any point in symptom illness were cough (78.1%), fever (67.4%), and myalgia (48.3%).

Comorbidities

The most common comorbidity was hypertension (42.1%), followed by diabetes mellitus (16.3%) and mild intermittent asthma (7.3%) (Table 1). There were no reported comorbidities in 39 patients (21.9%).

Symptom duration

Inter-observer agreement among data abstractors was excellent for symptom duration [intraclass correlation coefficient = 0.97 (95% confidence interval 0.94-0.99)]. The mean symptom duration was 19 days, with a minimum of 0 days and a maximum of 93 days (SD 16.29). The median (IQR) symptom duration was 15 (8-24) days.

The following symptoms if present at any point during disease course were found to be associated with prolonged symptom duration: cough (P = .002), shortness of breath (P < .001), dyspnea on exertion (P = .004), myalgia (P < .001), and anosmia (P = .022). There was no statistically significant difference in time to resolution of symptoms with any of the demographic variables we included in the study (Table 3 ).

Table 3.

Time to resolution based on symptom versus no symptom

Symptom Median Time to Resolution (IQR) P-value
Fever 15 (8-24.75) .922
No Fever 15 (8.75-24)
Chills 17 (11-26.5) .118
No Chills 14 (7.5-23.5)
Headaches 17 (9-28.5) .151
No Headache 15 (7.5-23)
Sputum Production 17 (14.25-30) .288
No Sputum Production 14 (8-24)
Sore Throat 18 (11-26.5) .1
No Sore Throat 14 (8-23)
Rhinorrhea 18 (8-29) .077
No Rhinorrhea 14 (8-23)
Diarrhea 19 (11-34) .006
No Diarrhea 14 (7-22)
Nausea 15.5 (8.25-34.25) .425
No Nausea 15 (8-24)
Vomiting 21 (7.5-40) .457
No Vomiting 15 (8-24)
Anosmia 17 (10-29) .022
No Anosmia 14 (7-21.5)
Myalgias 18 (11.75-28) <.001
No Myalgias 11.5 (6-21)
Fatigue 17 (9-27) .075
No Fatigue 14 (7.5-22)
SOB 19.5 (13-35.75) <.001
No SOB 13.5 (7-21.25)
DOE 29 (13.25-43.75) .004
No DOE 14.5 (8-23)
Cough 17 (9-27) .002
No Cough 9 (4-18)
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doe, dyspnea on exertion; IQR, interquartile range; sob, shortness of breath.

The median (IQR) symptom duration when patients had no lower respiratory symptoms at disease onset was 14.5 (7-21.75) days compared to 16.5 (10.75-33.5) days if patients had all three lower respiratory symptoms of cough, shortness of breath, and dyspnea on exertion (P < .001). Gastrointestinal predominant symptoms were not associated with symptom duration. The median (IQR) time to resolution when patients had no neurologic symptoms was 9.5 (4-17) days compared to 17 (9-28) days if patients had all three neurologic symptoms of myalgia, fatigue, and headache. Residence in a Camden City zip code was not associated with the number of symptoms or duration of symptoms associated with the illness. We also found no association between medical comorbidities and symptom duration (Table 4 ).

Table 4.

Time to resolution based on comorbidity versus no comorbidity

Comorbidity* Median Time to Resolution (IQR) P-value
HTN 17 (11-26) .138
No HTN 14 (7-23)
Smoking 15 (11-24) .804
No Smoking 15.5 (7.75-24.25)
Diabetes Type 1 or 2 14 (9-21) .710
No Diabetes 15 (8-25)
Asthma 17 (7-26) .993
No Asthma 15 (9-24)
CAD 10 (3.5-13) .074
No CAD 15 (8-24.5)
Immunosuppressive condition 15.5 (7.25-35.75) .902
No Immunosuppressive condition 15 (8-24)
Cancer 15 (3.25-55.25) .945
No Cancer 15 (8-24)
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CAD, coronary artery disease; COPD, chronic obstructive pulmonary disease; ESRD. End stage renal disease; PAD, peripheral arterial disease; HTN, hypertension.

⁎

The following comorbidities did not have enough data to report full IQR: COPD, heart failure, PAD, chronic steroid use, cirrhosis, ESRD.

Discussion

The outpatient experience of COVID-19 has been relatively undefined in the literature. This study found that the median symptom duration was 15 days which is longer than the 10 days the CDC recommends for isolation.58 This suggests persons with COVID-19 may remain symptomatic longer than their isolation period. Further, over 25% of patients had symptoms lasting longer than three weeks. We did not exclude patients with symptoms lasting longer than 4 weeks as long COVID-19 was not known at the time of our data analysis, but in our data analysis, only one patient met criteria for symptoms longer than 4 weeks with symptom resolution after 93 days.

Similar to other studies14 , 15 , 20 , 22 , 33 , 37 , 42, 43, 44 , 59 we found cough and fever to be the most common presenting symptoms at disease onset. We found fever to be the most common presenting symptom, unlike Blair et al20 However, similar to Blair et al,20 we also found cough to be the most predominant symptom ongoing. The lower respiratory cluster and the neurologic cluster were associated with the longest-lasting symptoms and the only symptoms associated with a prolonged duration of illness in the outpatient setting. Notably, gastrointestinal symptoms, constitutional symptoms such as fever, and upper respiratory symptoms (sore throat and rhinorrhea) had no association with symptom duration. Although numerous studies have published the likelihood of anosmia in mild COVID-19 cases,12 , 36 , 40 , 42 , 45 , 50 , 60 we found this to be a symptom in only 25.9% of cases. However, as this symptom was not as well-known during the initial months of the pandemic, clinicians may have failed to ask and document this symptom.

Also similar to other outpatient studies,14 , 17 , 20 , 34 , 35 we found the most common comorbidity to be hypertension (40%). In our cohort, the majority of subjects had a BMI >30 (77%). This is a greater prevalence than the general population (hypertension, 33% and BMI >30, 42%).61 , 62 Although it is possible that these comorbid conditions are risk factors for disease contraction in mild to moderate illness, this result is also possibly due to selection bias given that all subjects tested during this time period had to be high risk. However, while comorbidities such as hypertension and obesity are known risk factors for COVID-19 disease severity63, 64, 65 we did not find any of the tested comorbidities to be associated with prolonged symptom duration in outpatients.

Our results showing an association between lower respiratory symptoms and prolonged symptom duration among ambulatory patients are consistent with previous studies that found hospitalized patients have prolonged clinical courses in the presence of severe respiratory disease.25 , 27 , 28 , 30, 31, 32 , 35 , 37 , 38 While ongoing research on long COVID-19 must continue, our findings suggest that even for those who have symptom resolution, lower respiratory symptoms portend a longer recovery period. Our findings are of clinical importance to primary care providers as they can help provide guidance on informing patients what to expect of symptomatology and expected disease course of mild to moderate outpatient COVID-19 illness.

Limitations

This study has several important limitations. First, this study was a retrospective cohort study performed across a single healthcare system and 39.5% of potential subjects were excluded secondary to inability to determine symptom duration. However, in comparing our included and excluded cohorts, we found only one significant difference in patient baseline characteristics: our included cohort was less likely to be non-Hispanic white. This could decrease the generalizability to the general public. When interpreting our results, it is also important to note that our included cohort was less likely to report chills or shortness of breath compared to those excluded for lack of documented symptom duration. We are reassured in the accuracy of symptom duration given the excellent inter-observer agreement among data abstractors. Although patients’ and physicians’ interpretations of symptoms could have led to recall bias and errors in documenting both onset and termination of symptoms, given the high concern about COVID-19 during the study period, physicians were following up regularly in real time with their patients and using standard questions that mitigated this bias. Second, subjects included in the study may have been more ill that others due to the testing restrictions which were in place during the study period, and patients with lower risk and fewer symptoms may have a different symptom duration. However, 42% of included patients did not have co-morbidities, thereby supporting the generalizability of results. Therefore, these results are important for primary care physicians caring for similar symptomatic COVID-19 patients with regard to discussing the expected duration of symptoms.

Conclusion

We found the median (IQR) time to resolution of symptoms for COVID-19 in the outpatient setting was 15 (8-24) days, with greater than 25% of subjects having symptom duration greater than three weeks. The only predictors of prolonged symptom duration were lower respiratory symptoms or neurologic symptoms at onset. These results are of clinical importance to providers as they can help provide guidance when informing patients as to the expected disease course of mild to moderate outpatient COVID-19 illness.

Footnotes

Conflicts of interest: The authors have no conflicts of interest to disclose.

Supplementary material associated with this article can be found in the online version at https://doi.org/10.1016/j.ajic.2021.10.039.

Appendix. SUPPLEMENTARY MATERIALS

mmc1.pdf (37KB, pdf)
mmc2.pdf (42.1KB, pdf)

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