Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, New York University Langone Medical Center, New York, NY, USA.
Department of Obstetrics and Gynecology, New York University Langone Medical Center, New York, NY, USA.
J Perinat Med. 2020 Nov 26;48(9):959-964. doi: 10.1515/jpm-2020-0309.
Objectives We describe a standardized, scalable outpatient surveillance model for pregnant women with COVID-19 with several objectives: (1) to identify and track known, presumed, and suspected COVID-positive pregnant patients both during their acute illness and after recovery, (2) to regularly assess patient symptoms and escalate care for those with worsening disease while reducing unnecessary hospital exposure for others, (3) to educate affected patients on warning symptoms, hygiene, and quarantine recommendations, and (4) to cohort patient care, isolating stable infected patients at home and later within the same physical clinic area upon their return to prenatal care. Methods Pregnant women in an urban public hospital system with presumed or confirmed COVID-19 were added to a list in our electronic medical record as they came to the attention of providers. They received a series of phone calls based on their illness severity and were periodically assessed until deemed stable. Results A total of 83 patients were followed between March 19 and May 31, 2020. Seven (8%) were asymptomatic, 62 (75%) had mild disease, 11 (13%) had severe disease, and three (4%) had critical illness. Conclusions We encourage others to develop and utilize outpatient surveillance systems to facilitate appropriate care and to optimize maternal and fetal well-being.
目的 我们描述了一种针对 COVID-19 孕妇的标准化、可扩展的门诊监测模式，具有以下几个目标：（1）在急性疾病和康复后识别和跟踪已知、疑似和确诊的 COVID-19 阳性孕妇患者；（2）定期评估患者症状，并为病情恶化的患者提供治疗，同时减少其他患者不必要的住院暴露；（3）教育受影响的患者有关警告症状、卫生和隔离建议；（4）对患者护理进行分类，将稳定感染的患者在家中隔离，待其返回产前护理时在同一物理诊所区域内隔离。 方法 在一家城市公立医疗系统中，当出现疑似或确诊 COVID-19 的孕妇时，我们将其添加到电子病历清单中。患者会根据病情严重程度接到一系列电话，并定期进行评估，直到病情稳定。 结果 2020 年 3 月 19 日至 5 月 31 日期间共随访了 83 名患者。7 名（8%）患者无症状，62 名（75%）患者轻度疾病，11 名（13%）患者重度疾病，3 名（4%）患者危重疾病。 结论 我们鼓励其他人开发和利用门诊监测系统，以提供适当的护理，并优化母婴健康。
