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      Characteristics of Hospitalized COVID-19 Patients Discharged and Experiencing Same-Hospital Readmission — United States, March–August 2020

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          Abstract

          Coronavirus disease 2019 (COVID-19) is a complex clinical illness with potential complications that might require ongoing clinical care ( 1 – 3 ). Few studies have investigated discharge patterns and hospital readmissions among large groups of patients after an initial COVID-19 hospitalization ( 4 – 7 ). Using electronic health record and administrative data from the Premier Healthcare Database,* CDC assessed patterns of hospital discharge, readmission, and demographic and clinical characteristics associated with hospital readmission after a patient’s initial COVID-19 hospitalization (index hospitalization). Among 126,137 unique patients with an index COVID-19 admission during March–July 2020, 15% died during the index hospitalization. Among the 106,543 (85%) surviving patients, 9% (9,504) were readmitted to the same hospital within 2 months of discharge through August 2020. More than a single readmission occurred among 1.6% of patients discharged after the index hospitalization. Readmissions occurred more often among patients discharged to a skilled nursing facility (SNF) (15%) or those needing home health care (12%) than among patients discharged to home or self-care (7%). The odds of hospital readmission increased with age among persons aged ≥65 years, presence of certain chronic conditions, hospitalization within the 3 months preceding the index hospitalization, and if discharge from the index hospitalization was to a SNF or to home with health care assistance. These results support recent analyses that found chronic conditions to be significantly associated with hospital readmission ( 6 , 7 ) and could be explained by the complications of underlying conditions in the presence of COVID-19 ( 8 ), COVID-19 sequelae ( 3 ), or indirect effects of the COVID-19 pandemic ( 9 ). Understanding the frequency of, and risk factors for, readmission can inform clinical practice, discharge disposition decisions, and public health priorities such as health care planning to ensure availability of resources needed for acute and follow-up care of COVID-19 patients. With the recent increases in cases nationwide, hospital planning can account for these increasing numbers along with the potential for at least 9% of patients to be readmitted, requiring additional beds and resources. Data for this study were obtained from the Premier Healthcare Database, which includes discharge records from 865 nongovernmental, community, and teaching hospitals that contributed inpatient data during the study period. COVID-19 patients were identified through International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) discharge diagnosis code of U07.1 (COVID-19, virus identified) during April–July 2020 or B97.29 (Other coronavirus as the cause of disease classified elsewhere [recommended before the April 2020 release of U07.1] † ) during March–April 2020. Both codes were used for discharges during April. The patient’s first hospitalization with a COVID-19 discharge diagnosis was defined as the index hospitalization. Any subsequent hospitalization occurring within 2 months of the index hospitalization discharge date through August 2020, whether for COVID-19 or other health complications, was considered a hospital readmission. § Hospital readmissions that occurred >2 months after the index hospitalization were excluded. In the Premier Healthcare Database, readmissions were only recorded if a patient returned to the same hospital where the index hospitalization occurred. Demographic and clinical characteristics of patients at their index hospitalization were compared regarding discharge disposition and readmission status (none versus one or more). Presence of selected chronic conditions associated with a more severe COVID-19 clinical course were identified through ICD-10-CM diagnosis codes during or before the index COVID-19 hospitalization. Visits before the index hospitalization included all inpatient encounters for the cohort during calendar year 2020 only. Five chronic conditions that have been identified by CDC to increase or possibly increase the risk for severe COVID-19–associated illness (chronic obstructive pulmonary disease, heart failure, diabetes [type 1 or type 2, with chronic complications], chronic kidney disease, and obesity [body mass index ≥30 kg/m2], including severe obesity, [body mass index ≥40 kg/m2]) were mapped to ICD-10-CM codes using the Elixhauser Comorbidity Index (a method for classifying comorbidities based on ICD diagnosis codes found in administrative data; each comorbidity category is dichotomous [present or absent]) and implemented with the Elixhauser Comorbidity Software for ICD-10-CM (beta version; Agency for Healthcare Research and Quality) and R software (version 4.0.92020; The R Foundation) ¶ ( 10 ). The following three clinical severity indicators were defined using hospital chargemaster records (i.e., the comprehensive list of all items billable to a hospital patient or to a patient’s insurance provider): intensive care unit (ICU) admission, invasive mechanical ventilation, and noninvasive ventilation. Time to readmission after the index hospitalization was calculated as the difference in days between date of readmission and date of discharge from the previous hospitalization. The primary discharge diagnosis for each hospitalization was categorized into Clinical Classification Software Refined Categories to approximate the primary reason for the hospital stay. A multivariable generalized estimating equation model assessed the odds of readmission, accounting for within-facility correlation. Covariates included in the model were age, sex, race/ethnicity, presence of selected chronic conditions, discharge disposition category, and clinical severity indicators. This activity was reviewed by CDC and was conducted consistent with applicable federal law and CDC policy.** During March–July 2020, a total of 126,137 patients within the Premier Healthcare Database were hospitalized for COVID-19. The majority of patients were admitted from a non–health care setting (81%), followed by transfer from another hospital, clinic, or SNF (18%) (Table 1). During the index hospitalization, 15% of patients were admitted to an ICU, 13% required invasive mechanical ventilation, and 4% required noninvasive ventilation. At the time of the index hospitalization or at any time during 2020 before the hospitalization, 62% of patients had an ICD-10-CM diagnosis code for one or more of the following five chronic conditions: chronic obstructive pulmonary disease (21%), heart failure (16%), diabetes mellitus type 1 or type 2 (27%), chronic kidney disease (21%), or obesity (27%). Overall, 10,008 (8%) patients had been hospitalized at the same hospital in the 3 months preceding their index COVID-19 hospitalization. Approximately 15% of patients (19,594) died during the index hospitalization. TABLE 1 Demographic characteristics of hospitalized COVID-19 patients at index hospitalization, by readmission status — Premier Healthcare Database, United States, March–August 2020 Characteristic No. (%) Total Not readmitted Readmitted at least once N = 126,137 N = 116,633 N = 9,504 Age group (yrs) <18 1,170 (0.9) 1,095 (0.9) 75 (0.8) 18–39 16,699 (13.2) 15,741 (13.5) 958 (10.1) 40–49 14,490 (11.5) 13,674 (11.7) 816 (8.6) 50–64 35,451 (28.1) 32,923 (28.2) 2,528 (26.6) 65–74 25,419 (20.2) 23,250 (19.9) 2,169 (22.8) 75–84 19,864 (15.7) 18,061 (15.5) 1,803 (19.0) ≥85 13,044 (10.3) 11,889 (10.2) 1,155 (12.2) Race/Ethnicity Asian, non-Hispanic 3,652 (2.9) 3,429 (2.9) 223 (2.4) Black, non-Hispanic 29,226 (23.2) 26,819 (23.0) 2,407 (25.3) Hispanic 26,921 (21.3) 25,412 (21.8) 1,509 (15.9) White, non-Hispanic 49,133 (39.0) 44,807 (38.4) 4,326 (45.5) Other 13,048 (10.3) 12,194 (10.5) 854 (9.0) Sex Female 60,426 (47.9) 55,827 (47.9) 4,599 (48.4) Male 65,597 (52.0) 60,695 (52.0) 4,902 (51.6) Unknown 114 (0.1) 111 (0.1) —* Point of origin Non–health care 102,482 (81.2) 94,796 (81.3) 7,686 (74.5) Clinic 6,787 (5.4) 6,217 (5.3) 570 (5.5) Transfer from a different hospital 8,425 (6.7) 7,968 (6.8) 457 (4.4) Transfer from SNF or ICF 5,940 (4.7) 5,324 (4.6) 616 (6.0) Transfer from health facility 1,437 (1.1) 1,339 (1.1) 98 (1.0) Court/Law enforcement 252 (0.2) 241 (0.2) 11 (0.1) Born inside the hospital 45 (0.0) 44 (0.0) —* Not available 441 (0.3) 410 (0.4) 31 (0.3) U.S. Census division East North Central 16,009 (12.7) 14,547 (12.5) 1,462 (15.4) East South Central 5,986 (4.7) 5,544 (4.8) 442 (4.7) Middle Atlantic 39,673 (31.5) 36,456 (31.3) 3,217 (33.9) Mountain 8,852 (7.0) 8,355 (7.2) 497 (5.2) New England 3,768 (3.0) 3,346 (2.9) 422 (4.4) Pacific 6,511 (5.2) 6,138 (5.3) 373 (3.9) South Atlantic 27,407 (21.7) 25,683 (22.0) 1,724 (18.1) West North Central 4,364 (3.5) 3,998 (3.4) 366 (3.9) West South Central 13,567 (10.8) 12,566 (10.8) 1,001 (10.5) Abbreviations: COVID-19 = coronavirus disease 2019; ICF = intermediate care facility; SNF = skilled nursing facility. * Cell sizes <10 were suppressed. Among the 106,543 patients discharged from the index admission, 9,504 (9%) were readmitted, including 1,667 (1.6%) who were readmitted more than once. The median interval from discharge to first readmission was 8 days (interquartile range = 3–20 days). Less than 0.1% of patients died during readmission (data suppressed for privacy). Among all patients who were discharged after the index hospitalization, 60% were discharged to home or self-care (to home without any additional professional services provided such as home nursing health care), 15% to a SNF, 10% to home with assistance from a home health organization, 4% to hospice, 4% to ongoing care, and 5% to other locations (Table 2). Readmission was more common among patients discharged to a SNF (15%) or with home health organization support (12%), compared with patients discharged to home or self-care (7%). Median age, severity markers, time to readmission and length of stay differed by index hospitalization discharge disposition category. TABLE 2 Discharge status and subsequent readmissions among 126,137 COVID-19 patients* with an index hospitalization — United States, March–August 2020 Characteristic Location to which patient was discharged from index hospitalization Home or self-care SNF Home health organization Hospice Ongoing care† Other§ Discharged (N = 106,543 [85%]) No. of patients discharged, (%) 64,475 (60) 16,339 (15) 12,223 (10) 3,807 (4) 4,404 (4) 5,295 (5) Length of index hospitalization, days, median (IQR) 4 (2–7) 8 (5–15) 8 (4–14) 7 (4–12) 16 (7–29) 3 (1–7) Male, % 51 47 49 47 57 61 Median age, yrs 53 76 68 83 66 61 ≥1 chronic condition, % 53 72 70 67 70 57 ICU admission, % 35 42 45 53 63 42 Readmitted (N = 9,504, 9%) ¶ No. (%) of patients readmitted 4,406 (7) 2,517 (15) 1,469 (12) 136 (4) 494 (11) 482 (9) No. days to readmission, median (IQR) 7 (3–17) 11 (5–25) 8 (3–19) 0 (0–3) 10 (3–25) 6 (1–21) Length of hospitalization, days, median (IQR) 4 (2–7) 6 (3–9) 5 (3–8) 3 (1–6) 6 (3–10) 4 (2–8) Male, % 51 50 49 51 62 64 Median age, yrs 58 75 72 80 67 59 ≥1 chronic condition, % 67 80 80 75 77 67 Abbreviations: COVID-19 = coronavirus disease 2019; ICU = intensive care unit; IQR = interquartile range; SNF = skilled nursing facility. * A total of 19,594 (15%) patients died during the index hospitalization; 59% of decedents were male, median age was 74 years, 75% had one or more chronic conditions, the median hospitalization duration was 8 days (IQR = 4–15 days), and 68% of patients were admitted to an ICU. † Ongoing care categories include discharged/transferred to cancer center, admitted as an inpatient to this hospital, still a patient, discharged/transferred to federal hospital, discharged/transferred to swing bed unit (a unit within an acute care hospital where patients receive the same skilled level of care that is available at skilled nursing facilities), discharged/transferred to another rehabilitation facility, discharged/transferred to long-term care hospitals that provide acute inpatient care with an average length of stay of ≥25 days, discharged to a psychiatric hospital, discharged/transferred to a critical access hospital. § Other category includes patients who were discharged to other facilities and those who left against medical advice. ¶ Readmitted from discharged location noted in column (after index hospitalization). When controlling for covariates, the odds of readmission increased with the presence of chronic obstructive pulmonary disease (OR = 1.4), heart failure (OR = 1.6), diabetes (OR = 1.2), and chronic kidney disease (OR = 1.6). Patients were more likely to be readmitted if they had been discharged from the index hospitalization to a SNF (OR = 1.4) or with home health organization support (OR = 1.3) than if they had been discharged to home or self-care. Compared with persons aged 18–39 years, the odds of readmission increased with age among persons aged ≥65 years (Table 3). Adjusted odds of readmission of patients with a hospitalization in the 3 months preceding their index hospitalization were 2.6 times the odds of those who were not hospitalized in the preceding 3 months. Non-Hispanic White persons were more likely to be readmitted than were those of other racial/ethnic groups. Common primary discharge diagnoses after readmission were infectious and parasitic diseases (primarily COVID-19; 45%) and diseases of the circulatory (11%) and digestive (7%) systems (Supplementary Table, https://stacks.cdc.gov/view/cdc/96391). TABLE 3 Generalized estimating equation model showing the adjusted odds of readmission among persons hospitalized with COVID-19 — United States, March–August 2020 Characteristic Odds ratio (95%CI) Standard error* P-value Age group (yrs), (referent = 18–39 yrs) <18 1.03 (0.80–1.33) 0.13 0.806 40–49 0.94 (0.84–1.04) 0.05 0.204 50–64 1.08 (0.99–1.17) 0.04 0.078 65–74 1.22 (1.12–1.34) 0.05 <0.001 75–84 1.32 (1.20–1.46) 0.05 <0.001 ≥85 1.37 (1.23–1.53) 0.06 <0.001 Race/Ethnicity (referent = White, non-Hispanic) Asian, non-Hispanic 0.82 (0.71–0.95) 0.07 0.007 Black, non-Hispanic 0.90 (0.85–0.95) 0.03 <0.001 Hispanic 0.75 (0.71–0.81) 0.03 <0.001 Other 0.80 (0.74–0.87) 0.04 <0.001 Sex (referent = male) Female 0.94 (0.90–0.99) 0.02 0.015 Chronic conditions COPD 1.35 (1.28–1.42) 0.03 <0.001 Heart failure 1.58 (1.48–1.67) 0.03 <0.001 Diabetes 1.21 (1.14–1.28) 0.03 <0.001 Chronic kidney disease 1.64 (1.55–1.74) 0.03 <0.001 Obesity 0.95 (0.90–1.00) 0.03 0.049 Previous hospitalization† (yes versus no) 2.61 (2.45–2.78) 0.03 <0.001 Severity measures at index hospitalization Length of stay, days 0.99 (0.99–1.00) 0.00 0.001 ICU admission 0.94 (0.89–0.99) 0.03 0.014 Mechanical ventilation 1.15 (1.04–1.27) 0.05 0.006 Noninvasive ventilation 0.86 (0.81–0.90) 0.03 <0.001 Discharge category from index hospitalization (referent = home/self-care) SNF 1.37 (1.29–1.47) 0.03 <0.001 Home health organization 1.30 (1.21–1.39) 0.04 <0.001 Hospice 0.24 (0.20–0.29) 0.09 <0.001 Ongoing care 1.22 (1.09–1.36) 0.06 0.001 Abbreviations: CI = confidence interval; COPD = chronic obstructive pulmonary disease; COVID-19 = coronavirus disease 2019; ICU = intensive care unit; SNF = skilled nursing facility. * Standard error of coefficient. † Patients who had a hospitalization within 3 months before their COVID-19 index hospitalization. Discussion In a cohort of 106,543 patients discharged after an index COVID-19 hospitalization, 9% experienced at least one readmission to the same hospital within 2 months of discharge. More than one readmission occurred in 1.6% of cases. In this analysis, the odds of hospital readmission increased with age among persons aged ≥65 years, presence of one of five selected chronic conditions, hospitalization within the 3 months preceding the index hospitalization, and if discharge from the index hospitalization was to a SNF or to home with health care assistance. Although the proportions of patients in the Premier Healthcare Database cohort who were non-Hispanic Black (23%) or Hispanic (21%) were higher than those proportions in the U.S. Census (13% and 18%, respectively), their odds of readmission were lower than those of non-Hispanic White patients. The slight association of readmission with lengths of stay for hospitalized COVID-19 patients merits further study. These results are comparable to those of recently published analyses, which found a similar group of chronic conditions to be significantly associated with hospital readmission ( 6 , 7 ) and could be explained by the complications of underlying conditions in the presence of COVID-19 ( 8 ), COVID-19 sequelae ( 3 ), or indirect effects of the COVID-19 pandemic ( 9 ). Although only a small proportion of patients discharged to home or self-care were readmitted, 7% returned to the hospital within a median of 7 days. One explanation for their readmission is that approximately two thirds of these 4,406 patients had one or more of the selected chronic conditions. After hospitalization for COVID-19, the most common primary discharge diagnoses from hospital readmission were diseases of the circulatory, digestive, or respiratory systems. Future work will examine the detailed diagnoses recorded during readmissions to better understand COVID-19 sequelae or health conditions that require extended or ongoing care. The findings in this report are subject to at least five limitations. First, COVID-19 diagnoses were determined by ICD-10-CM, not through laboratory confirmation, potentially leading to misclassification of cases. Second, chronic conditions were identified using ICD-10-CM diagnostic codes used at the index hospitalization or a previous encounter. If a patient had a chronic condition but the condition was not assigned a diagnostic code, that condition would not be recorded in this analysis. Third, primary discharge diagnosis was used to infer the primary reason for hospital admission; other diagnoses might have contributed to the reason for index admission and readmissions. Fourth, patients who received care at different hospitals would not be assessed longitudinally. Finally, the sequelae of COVID-19 could not be completely described among hospitalized patients or among those readmitted. Sequelae might be experienced by patients who are never readmitted to a hospital. Information on the frequency of, and risk factors for, readmission can inform clinical practice and discharge disposition decisions especially with regard to the acuity and location of ongoing care needed for persons who might appear stable at discharge. Further, addressing priorities such as health care planning to ensure adequate health care resources for acute and post-acute follow-up care of COVID-19 patients is critical at a local, regional, and national level. With the recent increase in cases nationwide, hospital planning can account for these increasing numbers along with the potential for at least 9% of patients to be readmitted, requiring additional beds and resources. Continued public health messaging and interventions to prevent COVID-19 among older persons and those with underlying medical conditions is essential. Summary What is already known about this topic? Evidence suggests that potential health complications after COVID-19 illness might require ongoing clinical care. What is added by this report? After discharge from an initial COVID-19 hospitalization, 9% of patients were readmitted to the same hospital within 2 months of discharge. Multiple readmissions occurred in 1.6% of patients. Risk factors for readmission included age ≥65 years, presence of certain chronic conditions, hospitalization within the 3 months preceding the first COVID-19 hospitalization, and discharge to a skilled nursing facility or with home health care. What are the implications for public health practice? Understanding frequency of, and potential reasons for, readmission after a COVID-19 hospitalization can inform clinical practice, discharge disposition decisions, and public health priorities, such as health care resource planning.

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          Coronavirus disease 2019 (COVID-19), a viral respiratory illness caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), may predispose patients to thrombotic disease, both in the venous and arterial circulations, due to excessive inflammation, platelet activation, endothelial dysfunction, and stasis. In addition, many patients receiving antithrombotic therapy for thrombotic disease may develop COVID-19, which can have implications for choice, dosing, and laboratory monitoring of antithrombotic therapy. Moreover, during a time with much focus on COVID-19, it is critical to consider how to optimize the available technology to care for patients without COVID-19 who have thrombotic disease. Herein, we review the current understanding of the pathogenesis, epidemiology, management and outcomes of patients with COVID-19 who develop venous or arterial thrombosis, and of those with preexisting thrombotic disease who develop COVID-19, or those who need prevention or care for their thrombotic disease during the COVID-19 pandemic.
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            This study attempts to develop a comprehensive set of comorbidity measures for use with large administrative inpatient datasets. The study involved clinical and empirical review of comorbidity measures, development of a framework that attempts to segregate comorbidities from other aspects of the patient's condition, development of a comorbidity algorithm, and testing on heterogeneous and homogeneous patient groups. Data were drawn from all adult, nonmaternal inpatients from 438 acute care hospitals in California in 1992 (n = 1,779,167). Outcome measures were those commonly available in administrative data: length of stay, hospital charges, and in-hospital death. A comprehensive set of 30 comorbidity measures was developed. The comorbidities were associated with substantial increases in length of stay, hospital charges, and mortality both for heterogeneous and homogeneous disease groups. Several comorbidities are described that are important predictors of outcomes, yet commonly are not measured. These include mental disorders, drug and alcohol abuse, obesity, coagulopathy, weight loss, and fluid and electrolyte disorders. The comorbidities had independent effects on outcomes and probably should not be simplified as an index because they affect outcomes differently among different patient groups. The present method addresses some of the limitations of previous measures. It is based on a comprehensive approach to identifying comorbidities and separates them from the primary reason for hospitalization, resulting in an expanded set of comorbidities that easily is applied without further refinement to administrative data for a wide range of diseases.
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                Author and article information

                Journal
                MMWR Morb Mortal Wkly Rep
                MMWR Morb Mortal Wkly Rep
                WR
                Morbidity and Mortality Weekly Report
                Centers for Disease Control and Prevention
                0149-2195
                1545-861X
                13 November 2020
                13 November 2020
                : 69
                : 45
                : 1695-1699
                Affiliations
                [1 ]CDC COVID-19 Response Team.
                Author notes
                Corresponding author: Adi V. Gundlapalli, agundlapalli@ 123456cdc.gov .
                Article
                mm6945e2
                10.15585/mmwr.mm6945e2
                7660660
                33180754
                f23b0e5a-2021-4eb0-bd02-71cd0d2caf14

                All material in the MMWR Series is in the public domain and may be used and reprinted without permission; citation as to source, however, is appreciated.

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