Abstract

Acute pulmonary embolism classically presents with dyspnea, tachypnea, and hypoxia, but self-recognition of symptoms and clinical findings is often challenging. This is particularly true in elder patients or those with cognitive impairments. Digital health technologies offer opportunities to remotely detect pre-symptomatic illness. We present a prodrome of an acute pulmonary embolism as it emerges in the home during continuous respiratory monitoring using a non-contact adherence-independent home bed sensor. The patient is an 85-year-old woman who is morbidly obese, has limited mobility, and multiple comorbidities including a recent diagnosis of atrial fibrillation for which she was prescribed anticoagulation but has not yet initiated. As part of an observational study, nocturnal respiratory rates (NRR) were longitudinally monitored in her home bed using a non-contact, adherence-independent bed sensor. Eight days prior to admission, increasing NRR prompted a patient call to family who noted no acute symptomatic changes. During the call it was discovered she had not been started on apixaban. On subsequent days, persistently elevated NRR prompted a second phone call 4 days prior to admission (PTA), where again no acute symptoms were noted. Anticoagulation still had not been started at that time. NRR worsened further on days following the second call prompting a home visit by an RN who found the patient dyspneic, tachypneic in the high 20s, and hypoxic with oxygen saturations in the 80s, prompting a transfer to the emergency department for further evaluation. She was eventually diagnosed with an acute pulmonary embolism. After a week-long hospitalization, the patient was discharged on adequate anticoagulation therapy.This case suggests that adherence-independent home bed monitoring of nocturnal respiratory rate may enable early detection of chronic volume overload and acute pulmonary embolism, potentially facilitating early intervention.

Full Text
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