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5.
Transpl Int ; 34(6): 1019-1031, 2021 06.
Article in English | MEDLINE | ID: covidwho-1140311

ABSTRACT

The increasing global prevalence of SARS-CoV-2 and the resulting COVID-19 disease pandemic pose significant concerns for clinical management of solid organ transplant recipients (SOTR). Wearable devices that can measure physiologic changes in biometrics including heart rate, heart rate variability, body temperature, respiratory, activity (such as steps taken per day) and sleep patterns, and blood oxygen saturation show utility for the early detection of infection before clinical presentation of symptoms. Recent algorithms developed using preliminary wearable datasets show that SARS-CoV-2 is detectable before clinical symptoms in >80% of adults. Early detection of SARS-CoV-2, influenza, and other pathogens in SOTR, and their household members, could facilitate early interventions such as self-isolation and early clinical management of relevant infection(s). Ongoing studies testing the utility of wearable devices such as smartwatches for early detection of SARS-CoV-2 and other infections in the general population are reviewed here, along with the practical challenges to implementing these processes at scale in pediatric and adult SOTR, and their household members. The resources and logistics, including transplant-specific analyses pipelines to account for confounders such as polypharmacy and comorbidities, required in studies of pediatric and adult SOTR for the robust early detection of SARS-CoV-2, and other infections are also reviewed.


Subject(s)
COVID-19 , Organ Transplantation , Wearable Electronic Devices , Adult , Child , Humans , Pandemics , SARS-CoV-2
7.
Open Forum Infect Dis ; 7(10): ofaa401, 2020 Oct.
Article in English | MEDLINE | ID: covidwho-735752

ABSTRACT

BACKGROUND: There is a limited understanding of the impact of coronavirus disease 2019 (COVID-19) on the Latinx population. We hypothesized that Latinx patients would be more likely to be hospitalized and admitted to the intensive care unit (ICU) than White patients. METHODS: We analyzed all patients with COVID-19 in 12 Massachusetts hospitals between February 1 and April 14, 2020. We examined the association between race, ethnicity, age, reported comorbidities, and hospitalization and ICU admission using multivariable regression. RESULTS: Of 5190 COVID-19 patients, 29% were hospitalized; 33% required the ICU, and 4.3% died. Forty-six percent of patients were White, 25% Latinx, 14% African American, and 3% Asian American. Ethnicity and race were significantly associated with hospitalization. More Latinx and African American patients in the younger age groups were hospitalized than whites. Latinxs and African Americans disproportionally required the ICU, with 39% of hospitalized Latinx patients requiring the ICU compared with 33% of African Americans, 24% of Asian Americans, and 30% of Whites (P < .007). Within each ethnic and racial group, age and male gender were independently predictive of hospitalization. Previously reported preexisting comorbidities contributed to the need for hospitalization in all racial and ethnic groups (P < .05). However, the observed disparities were less likely related to reported comorbidities, with Latinx and African American patients being admitted at twice the rate of Whites, regardless of such comorbidities. CONCLUSIONS: Latinx and African American patients with COVID-19 have higher rates of hospitalization and ICU admission than White patients. The etiologies of such disparities are likely multifactorial and cannot be explained only by reported comorbidities.

8.
Transpl Infect Dis ; 22(5): e13407, 2020 Oct.
Article in English | MEDLINE | ID: covidwho-638799

ABSTRACT

BACKGROUND: COVID-19 infection varies in severity from minimal symptoms to critical illness associated with a hyperinflammatory response. Data on disease progression in immunosuppressed solid organ transplant (SOT) recipients are limited. METHODS: We examined the electronic medical records of all SOT recipients with COVID-19 from 12 Massachusetts hospitals between February 1, and May 6, 2020. We analyzed the demographics, clinical parameters, course, and outcomes of illness in these patients. RESULTS: Of 52 COVID-19-positive SOT patients, 77% were hospitalized and 35% required ICU admission. Sixty-nine percent of hospitalized patients had immunosuppression reduced, 6% developed suspected rejection. Co-infections occurred in 45% in ICU vs 5% in non-ICU patients (P = .037). A biphasic pattern of evolution of laboratory tests was observed. In the first 5 days of illness, inflammatory markers were moderately increased. Subsequently, WBC, CRP, ferritin, and D Dimer increased with increasing stay in the ICU, and lymphocyte counts were similar. Five patients (16%) died. CONCLUSIONS: Our data indicate that SOT is associated with high rate of hospitalization, ICU admission, and death from COVID-19 compared to data in the general population of patients with COVID-19. Despite reduction in immunosuppression, suspected rejection was rare. The clinical course and trend of laboratory biomarkers is biphasic with a later, pronounced peak in inflammatory markers seen in those admitted to an ICU. CRP is a useful marker to monitor disease progression in SOT.


Subject(s)
COVID-19/epidemiology , Graft Rejection/epidemiology , Immunosuppressive Agents/adverse effects , Organ Transplantation/adverse effects , Adult , Aged , Biomarkers/blood , C-Reactive Protein/analysis , C-Reactive Protein/immunology , COVID-19/blood , COVID-19/diagnosis , COVID-19/immunology , Critical Illness/mortality , Disease Progression , Electronic Health Records/statistics & numerical data , Female , Graft Rejection/immunology , Graft Rejection/prevention & control , Hospital Mortality , Humans , Immunocompromised Host , Immunosuppression Therapy/adverse effects , Immunosuppression Therapy/methods , Intensive Care Units/statistics & numerical data , Male , Massachusetts/epidemiology , Middle Aged , Pandemics , Patient Admission/statistics & numerical data , SARS-CoV-2/immunology , SARS-CoV-2/isolation & purification , Severity of Illness Index , Transplant Recipients/statistics & numerical data
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