A growing number of persons previously infected with SARS-CoV-2, the virus that causes
COVID-19, have reported persistent symptoms, or the onset of long-term symptoms, ≥4
weeks after acute COVID-19; these symptoms are commonly referred to as post-COVID
conditions, or long COVID (
1
). Electronic health record (EHR) data during March 2020–November 2021, for persons
in the United States aged ≥18 years were used to assess the incidence of 26 conditions
often attributable to post-COVID (hereafter also referred to as incident conditions)
among patients who had received a previous COVID-19 diagnosis (case-patients) compared
with the incidence among matched patients without evidence of COVID-19 in the EHR
(control patients). The analysis was stratified by two age groups (persons aged 18–64
and ≥65 years). Patients were followed for 30–365 days after the index encounter until
one or more incident conditions were observed or through October 31, 2021 (whichever
occurred first). Among all patients aged ≥18 years, 38% of case-patients experienced
an incident condition compared with 16% of controls; conditions affected multiple
systems, and included cardiovascular, pulmonary, hematologic, renal, endocrine, gastrointestinal,
musculoskeletal, neurologic, and psychiatric signs and symptoms. By age group, the
highest risk ratios (RRs) were for acute pulmonary embolism (RR = 2.1 and 2.2 among
persons aged 18–64 and ≥65 years, respectively) and respiratory signs and symptoms
(RR = 2.1 in both age groups). Among those aged 18–64 years, 35.4% of case-patients
experienced an incident condition compared with 14.6% of controls. Among those aged
≥65 years, 45.4% of case-patients experienced an incident condition compared with
18.5% of controls. These findings translate to one in five COVID-19 survivors aged
18–64 years, and one in four survivors aged ≥65 years experiencing an incident condition
that might be attributable to previous COVID-19. Implementation of COVID-19 prevention
strategies, as well as routine assessment for post-COVID conditions among persons
who survive COVID-19, is critical to reducing the incidence and impact of post-COVID,
particularly among adults aged ≥65 years (
2
).
A retrospective matched cohort design was used to analyze EHRs during March 2020–November
2021, from Cerner Real-World Data,* a national, deidentified data set of approximately
63.4 million unique adult records from 110 data contributors in the 50 states. Case-patients
(353,164) were adults aged ≥18 years who received either a diagnosis of COVID-19 or
a positive SARS-CoV-2 test result
†
(case-patient index encounter) in an inpatient, emergency department, or outpatient
settings within a subset of health care facilities that use Cerner EHRs. Control patients
(1,640,776) had a visit in the same month as the matched case-patient (control index
encounter) and did not receive a COVID-19 diagnosis or a positive SARS-CoV-2 test
result during the observation period. Controls were matched 5:1 with case-patients.
All patients included in the analysis were required to have at least one encounter
in their EHR during the year preceding and the year after the index encounter.
The occurrence of 26 clinical conditions previously attributed to post-COVID illness
was assessed by review of the scientific literature
§
(
3
–
5
) (Supplementary Table 1, https://stacks.cdc.gov/view/cdc/117411). Patients were followed
for 30–365 days after the index encounter until the first occurrence of an incident
condition or until October 31, 2021, whichever occurred first. Case-patients or control
patients with a previous history of one of the included conditions in the year before
the index encounter were excluded (478,072 patients). The analysis was stratified
by age into two groups: adults aged 18–64 and adults aged ≥65 years. Incidence rates
per 100 person-months, and RRs with 95% CIs, were calculated. The number of COVID-19
case-patients having experienced an incident condition was also estimated by age group.
¶
Nonoverlapping CIs between age groups were considered statistically significant. Analyses
were performed using RStudio Workbench (version 3.0; RStudio). This activity was reviewed
by CDC and was conducted consistent with applicable federal law and CDC policy.**
Among all patients aged ≥18 years, 38.2% of case-patients and 16.0% of controls experienced
at least one incident condition (Table). Among persons aged 18–64 years, 35.4% of
case-patients and 14.6% of controls experienced at least one incident condition. Among
persons aged ≥65 years, 45.4% of case-patients and 18.5% of controls experienced at
least one incident condition. The absolute risk difference between the percentage
of case-patients and controls who developed an incident condition was 20.8 percentage
points for those aged 18–64 years and 26.9 percentage points for those aged ≥65 years.
This finding translates to one in five COVID-19 survivors aged 18–64 years and one
in four survivors aged ≥65 years experiencing an incident condition that might be
attributable to previous COVID-19.
TABLE
Percentage of adult COVID-19 case-patients and control patients with ≥1 post-COVID–attributable
incident conditions and estimated number of COVID-19 survivors who will experience
a post-COVID condition — United States, March 2020–November 2021
Age group, yrs
No. of patients (column %)
No. of patients with ≥1 incident condition
(column %*)
Absolute risk difference†
No. of COVID-19 survivors with a post-COVID condition§
Case-patients
Control patients
Case-patients
Control patients
18–64
254,345 (72.0)
1,051,588 (64.1)
90,111 (35.4)
154,011 (14.6)
20.8
1/5
≥65
98,819 (28.0)
589,188 (35.9)
44,840 (45.4)
108,850 (18.5)
26.9
1/4
Total
353,164 (100)
1,640,776 (100)
134,951 (38.2)
262,861 (16.0)
22.2
1/4–5
* Percentage of COVID-19 case-patients or control patients with ≥1 incident condition
divided by the total study COVID-19 cohort or control cohort row’s age group total.
† Percentage point difference between COVID-19 case-patients and control patients
(e.g., the value 20.8 is calculated as 35.4 minus 14.6).
§ Number of COVID-19 survivors who experienced a post-COVID condition estimated as
the inverse of the absolute risk difference.
The most common incident conditions in both age groups were respiratory symptoms and
musculoskeletal pain (Supplementary Table 2, https://stacks.cdc.gov/view/cdc/117411).
Among both age groups, the highest RRs were for incident conditions involving the
pulmonary system, including acute pulmonary embolism (RR = 2.2 [patients aged ≥65
years] and 2.1 [patients aged 18–64 years]) and respiratory symptoms (RR = 2.1, both
age groups) (Figure). Among patients aged ≥65 years, the risks were higher among case-patients
than among controls for all 26 incident conditions, with RRs ranging from 1.2 (substance-related
disorder) to 2.2 (acute pulmonary embolism). Among patients aged 18–64 years, the
risks were higher among case-patients than among controls for 22 incident conditions,
with RRs ranging from 1.1 (anxiety) to 2.1 (acute pulmonary embolism); no significant
difference was observed for cerebrovascular disease, or mental health conditions,
such as mood disorders, other mental conditions, and substance-related disorders.
FIGURE
Risk ratios* for developing post-COVID conditions among adults aged 18–64 years and
≥65 years — United States, March 2020– November 2021
Abbreviation: GI = gastrointestinal.
* With CIs indicated by error bars; some error bars are not visible because of small
CIs.
The figure is a forest plot showing the risk ratios for developing post-COVID-19 conditions
among adults aged 18–64 years and ≥65 years, by condition in the United States during
March 2020– November 2021.
Differences by age group were noted. The RR for cardiac dysrhythmia was significantly
higher among patients aged 18–64 years (RR = 1.7) compared with those aged ≥65 years
(1.5). Similarly, the RR for musculoskeletal pain was higher among patients aged 18–64
years (1.6) than among those aged ≥65 years (1.4). Among case-patients, the RRs for
10 incident conditions was significantly higher among those aged ≥65 years than among
those aged 18–64 years; these conditions were renal failure, thromboembolic events,
cerebrovascular disease, type 2 diabetes, muscle disorders, neurologic conditions,
and mental health conditions (including mood disorders, anxiety, other mental conditions,
and substance-related disorders).
Discussion
The findings from this analysis of a large EHR-based database of U.S. adults indicated
that COVID-19 survivors were significantly more likely than were control patients
to have incident conditions that might be attributable to previous COVID-19. One in
five COVID-19 survivors aged 18–64 years and one in four survivors aged ≥65 years
experienced at least one incident condition that might be attributable to previous
COVID-19. Independent of age group, the highest RRs were for acute pulmonary embolism
and respiratory symptoms.
These findings are consistent with those from several large studies that indicated
that post-COVID incident conditions occur in 20%–30% of patients (
6
,
7
), and that a proportion of patients require expanded follow-up care after the initial
infection. COVID-19 severity and illness duration can affect patients’ health care
needs and economic well-being (
8
). The occurrence of incident conditions following infection might also affect a patient’s
ability to contribute to the workforce and might have economic consequences for survivors
and their dependents, particularly among adults aged 18–64 years (
5
). In addition, care requirements might place a strain on health services after acute
illness in communities that experience heavy COVID-19 case surges.
COVID-19 survivors aged ≥65 years in this study were at increased risk for neurologic
conditions, as well as for four of five mental health conditions (mood disorders,
other mental conditions, anxiety, and substance-related disorders). Neurocognitive
symptoms have been reported to persist for up to 1 year after acute infection and
might persist longer (
9
). Overall, 45.4% of survivors aged ≥65 years in this study had incident conditions.
Among adults aged ≥65 years, who are already at higher risk for stroke and neurocognitive
impairment, post-COVID conditions affecting the nervous system are of particular concern
because these conditions can lead to early entry into supportive services or investment
of additional resources into care (
10
).
The findings in this study are subject to at least five limitations. First, patient
data were limited to those seen at facilities serviced by Cerner EHR network during
January 2020–November 2021; therefore, the findings might not be representative of
the entire U.S. adult population or of COVID-19 case patients infected with recent
variants. Second, the incidence of new conditions after an acute COVID-19 infection
might be biased toward a population that is seeking care, either as a follow-up to
a previous complaint (including COVID-19) or for another medical complaint, which
might result in a “sicker” control group leading to underestimation of observed risk.
Third, COVID-19 vaccination status was not considered in this analysis, nor were potentially
confounding factors (e.g., SARS-CoV-2 variant, sex, race, ethnicity, health care entity,
or geographic region), because data were not available, were inconsistent, or included
a high proportion of missing or unknown values; for example, data were not matched
by data contributors, so controls were not necessarily from the same health care entity
or region of the country. Differences between the groups might influence the risks
associated with survival from COVID-19 and incident conditions, which require further
study. Fourth, International Classification of Disease, Tenth Revision, Clinical Modification
(ICD-10-CM) codes were used to identify COVID-19 case-patients, and misclassification
of controls is possible. However, the inclusion of laboratory data to identify case-patients
and exclude controls helped to limit the potential for such misclassification. Finally,
the study only assessed conditions thought to be attributable to COVID-19 or post-COVID
illness, which might have biased RRs away from the null. For example, clinicians might
have been more likely to document possible post-COVID conditions among case-patients.
In addition, because several conditions examined are also risk factors for moderate
to severe COVID-19, it is possible that case-patients were more likely to have had
an existing condition that was not documented in their EHR during the year preceding
their COVID-19 diagnosis, resulting in overestimated risk for this group.
As the cumulative number of persons ever having been infected with SARS-CoV-2 increases,
the number of survivors suffering post-COVID conditions is also likely to increase.
Therefore, implementation of COVID-19 prevention strategies, as well as routine assessment
for post-COVID conditions among persons who survive COVID-19, is critical to reducing
the incidence and impact of post-COVID conditions, particularly among adults aged
≥65 years (
2
). These findings can increase awareness for post-COVID conditions and improve post-acute
care and management of patients after illness. Further investigation is warranted
to understand the pathophysiologic mechanisms associated with increased risk for post-COVID
conditions, including by age and type of condition.
Summary
What is already known about this topic?
As more persons are exposed to and infected by SARS-CoV-2, reports of patients who
experience persistent symptoms or organ dysfunction after acute COVID-19 and develop
post-COVID conditions have increased.
What is added by this report?
COVID-19 survivors have twice the risk for developing pulmonary embolism or respiratory
conditions; one in five COVID-19 survivors aged 18–64 years and one in four survivors
aged ≥65 years experienced at least one incident condition that might be attributable
to previous COVID-19.
What are the implications for public health practice?
Implementation of COVID-19 prevention strategies, as well as routine assessment for
post-COVID conditions among persons who survive COVID-19, is critical to reducing
the incidence and impact of post-COVID conditions, particularly among adults aged
≥65 years.