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Volume 27, Number 4—April 2021
Dispatch

Characteristics and Risk Factors of Hospitalized and Nonhospitalized COVID-19 Patients, Atlanta, Georgia, USA, March–April 2020

Kristen PettroneComments to Author , Eleanor Burnett, Ruth Link-Gelles, Sarah C. Haight, Caroline Schrodt, Lucinda England, Danica J. Gomes, Mays Shamout, Kevin O’Laughlin, Anne Kimball, Erin F. Blau, Chandresh N. Ladva, Christine M. Szablewski, Melissa Tobin-D’Angelo, Nadine Oosmanally, Cherie Drenzek, Sean D. Browning, Beau B. Bruce, Juliana da Silva, Jeremy A.W. Gold, Brendan R. Jackson, Sapna Bamrah Morris, Pavithra Natarajan, Robyn Neblett Fanfair, Priti R. Patel, Jessica Rogers-Brown, John Rossow, Karen K. Wong, David J. Murphy, James M. Blum, Julie Hollberg, Benjamin Lefkove, Frank W. Brown, Tom Shimabukuro, Claire M. Midgley, Jacqueline E. Tate, and Marie E. Killerby
Author affiliations: Centers for Disease Control and Prevention, Atlanta, Georgia, USA (K. Pettrone, E. Burnett, R. Link-Gelles, S.C. Haight, C. Schrodt, L. England, D.J. Gomes, M. Shamout, K. O’Laughlin, A. Kimball, E.F. Blau, C.N. Ladva, C.M. Szablewski, S.D. Browning, B.B. Bruce, J. da Silva, J.A.W. Gold, B.R. Jackson, S.B. Morris, P. Natarajan, R.N. Fanfair, P.R. Patel, J. Rogers-Brown, J. Rossow, K.K. Wong, T. Shimabukuro, C.M. Midgely, J.E. Tate, M.E. Killerby); Commissioned Corps of the U.S. Public Health Service, Rockville, Maryland, USA (R. Link-Gelles, R.N. Fanfair, J. Rossow, J.E. Tate); Georgia Department of Public Health, Atlanta (C.M. Szablewski, M. Tobin-D’Angelo, N. Oosmanally, C. Drenzek); Emory University School of Medicine, Atlanta (D.J. Murphy, J.M. Blum, J. Hollberg, F.W. Brown); Emory Decatur Hospital, Decatur, Georgia, USA (B. Lefkove, F.W. Brown)

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Abstract

We compared the characteristics of hospitalized and nonhospitalized patients who had coronavirus disease in Atlanta, Georgia, USA. We found that risk for hospitalization increased with a patient’s age and number of concurrent conditions. We also found a potential association between hospitalization and high hemoglobin A1c levels in persons with diabetes.

Information about care-seeking behavior, symptom duration, and risk factors for progression to severe illness in nonhospitalized patients with coronavirus disease (COVID-19) aids in resource planning, disease identification, risk stratification, and clinical management of nonhospitalized patients (16). We built on a previous analysis comparing hospitalized and nonhospitalized COVID-19 patients, which found that hospitalized patients were more likely to be >65 years of age, men, Black, diabetic, or obese (7). We describe symptom patterns, duration of illness, and care-seeking behavior among nonhospitalized patients and explore the relationships between hospitalization and the number, control, and interaction of concurrent medical conditions and age. We defined control as how well a disease is managed in the patient, as measured by hemoglobin A1c levels in diabetics, number of classes of hypertension medication being taken by patients with hypertension, and BMI among patients with obesity.

The Study

We enrolled hospitalized and nonhospitalized patients >18 years of age with laboratory-confirmed COVID-19 (defined as a positive real-time reverse transcription PCR result for severe acute respiratory syndrome coronavirus 2) treated at 6 acute care hospitals and outpatient clinics affiliated with a single academic hospital system in the Atlanta, Georgia, USA, metropolitan area during March 1–April 7, 2020, as previously described (7). In this investigation, we compared characteristics and symptoms of hospitalized and nonhospitalized persons using χ2, Fisher exact, or t-test as appropriate.

We conducted univariable and multivariable logistic regression analyses to explore the associations between age group and number of underlying conditions on risk for hospitalization. We conducted separate analyses to model the associations and interactions of diabetes, hypertension, and obesity with hospitalization for COVID-19. We then used univariable and multivariable logistic regression to investigate whether the severity or control of concurrent conditions was associated with increased risk for hospitalization. We modeled the association between body mass index (BMI) and hospitalization. Further, we investigated whether use of multiple classes of hypertension medication was associated with hospitalization among patients with hypertension the association of elevated levels (>7%) of hemoglobin A1c (HbA1c) and hospitalization among patients with diabetes. This level was chosen because a value <7% is considered an indicator of adequate blood glucose control in patients with diabetes (8). Multivariable models were adjusted for characteristics previously associated with hospitalization in these populations (7) (Appendix).

Figure

Symptoms of coronavirus disease among hospitalized and nonhospitalized patients, Atlanta, Georgia, USA, 2020. Gastrointestinal symptoms include vomiting, nausea, diarrhea, and abdominal pain. Upper respiratory symptoms include sore throat, rhinorrhea, and nasal congestion. *p>0.01.

Figure. Symptoms of coronavirus disease among hospitalized and nonhospitalized patients, Atlanta, Georgia, USA, 2020. Gastrointestinal symptoms include vomiting, nausea, diarrhea, and abdominal pain. Upper respiratory symptoms include sore throat, rhinorrhea, and...

We enrolled 311 nonhospitalized and 220 hospitalized patients in this study (Appendix Tables 1–3). We reviewed patient medical records and found that upper respiratory system symptoms including rhinorrhea, nasal congestion, and pharyngitis were more common among nonhospitalized patients than hospitalized patients (74% vs. 17%; p = 0.01). In contrast, hospitalized patients had dyspnea more frequently than did nonhospitalized patients (68% vs. 43%; p = 0.01) (Figure). Of 147 nonhospitalized patients with available information on symptom duration, 67 (46%) reported symptoms lasting >21 days.

Of 311 nonhospitalized patients, 135 (43%) had their first contact with the healthcare system for their COVID-19 illness on a telephone triage line, 23 (7%) at the emergency department, and 141 (45%) at an ambulatory care clinic (Table 1). Of nonhospitalized patients, 85% sought in-person care (i.e., ambulatory care, emergency department, or urgent care) a single time for their COVID-19 illness. A subset of 188 nonhospitalized patients had information in their medical records about all their COVID-19 healthcare visits. These 188 patients had 400 documented healthcare visits: 188 (47%) ambulatory care, 167 (42%) telehealth, 39 (10%) in-person emergency department, and 6 (2%) urgent care visits. Within this subset, 57% of visits among those patients with symptoms lasting >21 days were telehealth appointments; 56% of visits among those with symptoms <21 days were in-person primary care visits.

Odds of hospitalization increased with advancing age (50–59 years of age, adjusted odds ratio [aOR] 2.1, 95% CI 0.7–6.6; 60–69 years, aOR 4.1, 95% CI 1.3–13.3; >70 years, aOR 9.2, 95% CI 2.7–31.0). The aOR of hospitalization demonstrated a dose-dependent relationship with number of concurrent conditions (1 condition, aOR 1.8, 95% CI 0.8–3.7; 2 conditions, aOR 2.3, 95% CI 1.1–4.8; >3 conditions, aOR 4.2, 95% CI 1.9–9.1) (Table 2).

Among patients with hypertension, the odds of hospitalization demonstrated a possible dose-dependent increase among patients taking multiple classes of hypertension medications; however, precision of estimates was limited by small sample size (Table 2). Among patients with diabetes, those with a recent HbA1c score >7% had an increased risk for hospitalization (aOR 4.1, 95% CI 0.9–19.1); however, precision of estimates was limited by small sample size. Among obese patients (BMI >30), BMI was not associated with increasing odds of hospitalization (Table 2). In the multivariable analyses, we did not detect significant additive or multiplicative interaction between diabetes and obesity, hypertension and obesity, or hypertension and diabetes (Appendix Table 4).

Conclusions

Symptoms lasting >21 days were common among nonhospitalized patients in this investigation; however, <20% of these patients had >1 in-person healthcare visit for COVID-19 during acute illness. These extended symptom durations, in conjunction with limited care-seeking behavior, suggest that many mildly ill COVID-19 patients can self-manage their symptoms. Because telemedicine was the second most common healthcare delivery method in our investigation, we hypothesize that it might have provided ongoing patient support and decreased the need for in-person healthcare visits (9). These findings can assist healthcare providers with anticipatory guidance for patients and caregivers and can inform decisions about allocation of resources for healthcare delivery.

We found that age and number of underlying conditions were associated with a dose-dependent increase in likelihood of hospitalization. Elderly COVID-19 patients frequently have multiple conditions that increase risk for hospitalization and serious infection (10). However, we did not find a significant additive or multiplicative interaction between the 3 most common underlying conditions among study participants: hypertension, diabetes, and obesity.

We hypothesized that degree of control of underlying conditions would affect risk for hospitalization. We found that the aORs for hospitalization were higher among patients with diabetes who had elevated mean levels of HbA1c and among patients with hypertension taking an increasing number of hypertension medications. Although not statistically significant, these findings may suggest an association between the management of concurrent conditions and COVID-19 disease severity. Despite obesity’s association with increased risk for severe illness and death from COVID-19 (11,12), we did not find an increasing risk for hospitalization with increasing BMI among persons with obesity.

A limitation of our study is that, because of small sample sizes, our analyses might have lacked power to detect a significant association between degree of control of underlying conditions and hospitalization. In addition, our sample comprised patients at a single hospital system during a limited timeframe, and thus our results might not be generalizable to other populations. Because this hospital system prioritized certain persons (e.g., older patients, patients with underlying conditions, and healthcare personnel) for outpatient SARS-COV-2 testing, these persons might be overrepresented among the nonhospitalized patients in our sample. We were also not able to assess symptom resolution among all patients during the timeframe of this investigation and therefore might not have accounted for all follow-up healthcare visits for COVID-19.

In conclusion, although many nonhospitalized patients in this study reported symptoms lasting >21 days, most cases of COVID-19 among nonhospitalized patients were managed with a single ambulatory care visit and telehealth follow-up appointments. Patients of increasing age, with a greater number of underlying conditions, and with poor management of those conditions might be at higher risk for hospitalization and severe disease from COVID-19.

Dr. Pettrone is an Epidemic Intelligence Service Officer in the Division of Vital Statistics, National Center for Health Statistics, Centers for Disease Control and Prevention. Her research interests include infectious disease and public health.

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References

  1. Jain  V, Yuan  JM. Predictive symptoms and comorbidities for severe COVID-19 and intensive care unit admission: a systematic review and meta-analysis. Int J Public Health. 2020;65:53346. DOIPubMedGoogle Scholar
  2. Fang  X, Li  S, Yu  H, Wang  P, Zhang  Y, Chen  Z, et al. Epidemiological, comorbidity factors with severity and prognosis of COVID-19: a systematic review and meta-analysis. Aging (Albany NY). 2020;12:12493503. DOIPubMedGoogle Scholar
  3. Pascarella  G, Strumia  A, Piliego  C, Bruno  F, Del Buono  R, Costa  F, et al. COVID-19 diagnosis and management: a comprehensive review. J Intern Med. 2020;288:192206. DOIPubMedGoogle Scholar
  4. Tenforde  MW, Kim  SS, Lindsell  CJ, Billig Rose  E, Shapiro  NI, Files  DC, et al.; IVY Network Investigators; CDC COVID-19 Response Team; IVY Network Investigators. Symptom duration and risk factors for delayed return to usual health among outpatients with COVID-19 in a multistate health care systems network—United States, March–June 2020. MMWR Morb Mortal Wkly Rep. 2020;69:9938. DOIPubMedGoogle Scholar
  5. Czeisler  , Marynak  K, Clarke  KEN, Salah  Z, Shakya  I, Thierry  JM, et al. Delay or avoidance of medical care because of COVID-19–related concerns—United States, June 2020. MMWR Morb Mortal Wkly Rep. 2020;69:12507. DOIPubMedGoogle Scholar
  6. Desai  R, Singh  S, Parekh  T, Sachdeva  S, Sachdeva  R, Kumar  G. COVID-19 and diabetes mellitus: A need for prudence in elderly patients from a pooled analysis. Diabetes Metab Syndr. 2020;14:6835. DOIPubMedGoogle Scholar
  7. Killerby  ME, Link-Gelles  R, Haight  SC, Schrodt  CA, England  L, Gomes  DJ, et al.; CDC COVID-19 Response Clinical Team. Characteristics associated with hospitalization among patients with COVID-19—metropolitan Atlanta, Georgia, March–April 2020. MMWR Morb Mortal Wkly Rep. 2020;69:7904. DOIPubMedGoogle Scholar
  8. Sherwani  SI, Khan  HA, Ekhzaimy  A, Masood  A, Sakharkar  MK. Significance of HbA1c test in diagnosis and prognosis of diabetic patients. Biomark Insights. 2016;11:95104. DOIGoogle Scholar
  9. Contreras  CM, Metzger  GA, Beane  JD, Dedhia  PH, Ejaz  A, Pawlik  TM. Telemedicine: patient-provider clinical engagement during the COVID-19 pandemic and beyond. J Gastrointest Surg. 2020;24:16927. DOIPubMedGoogle Scholar
  10. Piccirillo  JF, Vlahiotis  A, Barrett  LB, Flood  KL, Spitznagel  EL, Steyerberg  EW. The changing prevalence of comorbidity across the age spectrum. Crit Rev Oncol Hematol. 2008;67:12432. DOIPubMedGoogle Scholar
  11. Palaiodimos  L, Kokkinidis  DG, Li  W, Karamanis  D, Ognibene  J, Arora  S, et al. Severe obesity, increasing age and male sex are independently associated with worse in-hospital outcomes, and higher in-hospital mortality, in a cohort of patients with COVID-19 in the Bronx, New York. Metabolism. 2020;108:154262. DOIPubMedGoogle Scholar
  12. Yang  J, Tian  C, Chen  Y, Zhu  C, Chi  H, Li  J. Obesity aggravates COVID-19: An updated systematic review and meta-analysis. J Med Virol. 2020;jmv.26677. DOIPubMedGoogle Scholar

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Cite This Article

DOI: 10.3201/eid2704.204709

Original Publication Date: February 26, 2021

Table of Contents – Volume 27, Number 4—April 2021

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Kristen Pettrone, Centers for Disease Control and Prevention, 1600 Clifton Rd NE, Mailstop V25-1, Atlanta, GA 30329-4027, USA

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Page created: January 15, 2021
Page updated: March 18, 2021
Page reviewed: March 18, 2021
The conclusions, findings, and opinions expressed by authors contributing to this journal do not necessarily reflect the official position of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors' affiliated institutions. Use of trade names is for identification only and does not imply endorsement by any of the groups named above.
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