Cesarean delivery (CD) accounts for over 29 million births annually, and this number continues to increase every year. Surgical site infection (SSI) is a common complication following CD, with an incidence rate of 3%–15% worldwide. Post C Section SSI is a significant cause of maternal morbidity and mortality along with posing a significant financial burden to healthcare systems (SSIs have an associated cost of $4670–$5500 per case in the U.S.)
Left untreated, surgical site infections can have multiple local and systemic implications which cause intense pain and discomfort, require longer courses of antibiotics, and result in hospital readmission. In the worst cases, the patient is at risk for sepsis, which is the second and third highest cause of maternal mortality in the United States and worldwide, respectively.
Symptoms of SSI typically appear 4-7 days after delivery, when most patients have been discharged from the hospital, but can occur as late as 30 days post-delivery. Currently, patients are expected to self-monitor their wound for pain and redness after being sent home. However self monitoring can be challenging due to numbness at the local wound site and coping with hectic lifestyle changes. As an additional hurdle, many patients who undergo C-sections also have a pannus, an extra flap of fat that hangs from the abdomen, obscuring the wound site from visualization. The pannus makes it challenging to regularly clean the surgical site and visually track signs of infection. Although follow up appointments are intended to monitor for postpartum complications, there is often low adherence in the hectic weeks following delivery.
Thus, there is a clear need for at-home, automated detection of post-CD SSI with non-visual physiological indicators to alleviate the challenges of self-monitoring the wound site. By detecting infection as soon as possible, patients can seek care before the infection progresses into severe complications.