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1.
J Gen Intern Med ; 38(2): 442-449, 2023 02.
Artículo en Inglés | MEDLINE | ID: mdl-36376627

RESUMEN

BACKGROUND: COVID-19 symptom reports describe varying levels of disease severity with differing periods of recovery and symptom trajectories. Thus, there are a multitude of disease and symptom characteristics clinicians must navigate and interpret to guide care. OBJECTIVE: To find natural groups of patients with similar constellations of post-acute sequelae of COVID-19 (PASC) symptoms. DESIGN: Cohort SETTING: Outpatient COVID-19 recovery clinic with patient referrals from 160 primary care clinics serving 36 counties in Texas. PATIENTS: Adult patients seeking COVID-19 recovery clinic care between November 15, 2020, and July 31, 2021, with laboratory-confirmed mild (not hospitalized), moderate (hospitalized), or severe (hospitalized with critical care) COVID-19. MAIN MEASURES: Demographics, COVID illness onset, and duration of persistent PASC symptoms via semi-structured medical assessments. KEY RESULTS: Four hundred forty-one patients (mean age 51.5 years; 295 [66.9%] women; 99 [22%] Hispanic, and 170 [38.5%] non-White, racial minority) met inclusion criteria. Using a k-medoids algorithm, we found that PASC symptoms cluster into two distinct groups: neuropsychiatric (N = 186) (e.g., subjective cognitive dysfunction) and pulmonary (N = 255) (e.g., dyspnea, cough). The neuropsychiatric cluster had significantly higher incidences of otolaryngologic (X2 = 14.3, p < 0.001), gastrointestinal (X2 = 6.90, p = 0.009), neurologic (X2 = 441, p < 0.001), and psychiatric sequelae (X2 = 40.6, p < 0.001) with more female (X2 = 5.44, p = 0.020) and younger age (t = 2.39, p = 0.017) patients experiencing longer durations of PASC symptoms before seeking care (t = 2.44, p = 0.015). Patients in the pulmonary cluster were more often hospitalized for COVID-19 (X2 = 3.98, p = 0.046) and had significantly higher comorbidity burden (U = 20800, p = 0.019) and pulmonary sequelae (X2 = 13.2, p < 0.001). CONCLUSIONS: Health services clinic data from a large integrated health system offers insights into the post-COVID symptoms associated with care seeking for sequelae that are not adequately managed by usual care pathways (self-management and primary care clinic visits). These findings can inform machine learning algorithms, primary care management, and selection of patients for earlier COVID-19 recovery referral. TRIAL REGISTRATION: N/A.


Asunto(s)
COVID-19 , Disfunción Cognitiva , Humanos , Adulto , Femenino , Persona de Mediana Edad , Masculino , Síndrome Post Agudo de COVID-19 , Algoritmos , Instituciones de Atención Ambulatoria , Progresión de la Enfermedad
2.
Proc (Bayl Univ Med Cent) ; 34(6): 645-648, 2021.
Artículo en Inglés | MEDLINE | ID: mdl-34732978

RESUMEN

The epidemiology and organ-specific sequelae following acute illness due to COVID-19 and prompting patients to seek COVID recovery care are not yet well characterized. This cross-sectional study reviewed data on 200 adult patients with prolonged symptoms of COVID-19 (>14 days after symptom onset) not resolved by usual primary care or specialist care who were referred for COVID-specific follow-up. Most patients sought COVID recovery clinic visits within the first 2 months of initial onset of symptoms (median 37 days), with some seeking care for sequelae persisting up to 10 months (median 82 days). At the time of telehealth evaluation, 13% of patients were using home oxygen, and 10% of patients had been unable to return to work due to persistent fatigue and/or subjective cognitive dysfunction ("brain fog"). The prominent specific symptom sequelae prompting patients to seek COVID-specific evaluation beyond usual primary care and specialist referrals were dyspnea, fatigue/weakness, and subjective cognitive dysfunction, irrespective of whether patients had required hospitalization or time since COVID-19 symptom onset.

3.
Proc (Bayl Univ Med Cent) ; 32(4): 498-501, 2019 Oct.
Artículo en Inglés | MEDLINE | ID: mdl-31656404

RESUMEN

Hypertension management guidelines are influenced by clinical trials that utilize automated office blood pressure (BP) to measure BP. Many primary care clinics still use manual office BP, which has been shown to produce significantly higher BP values than automated office BP. In a primary care office, a manual BP was obtained by nursing staff using an aneroid sphygmomanometer. Initial BPs ≥120/80 mm Hg were repeated during the clinical encounter by the physician. A total of 1012 encounters were analyzed, with 1000 meeting inclusion criteria. The median difference between nurse and provider BP was 4 mm Hg in systolic BP and 2 mm Hg in diastolic BP (P < 0.0001), with the greatest difference seen in patients with initial BPs >150 mm Hg systolic (10 mm Hg; P < 0.0001). Repeating BP measurements resulted in 34% of patients being reclassified to a lower hypertension stage. Patients with stage 1 and 2 hypertension initially were reclassified as controlled (systolic BP <130 mm Hg) in 40% and 8% of encounters, respectively, with repeat measurements. In clinics that use manual office BP, repeating a manual BP by the physician may provide a better reflection of adherence to standard hypertension performance measures used in the primary care setting.

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