Risk factors for potentially avoidable readmissions following gynecologic oncology surgery

The burden of cervical cancer survivorship: Understanding morbidity and survivorship needs through hospital admissions

Objective

To describe disease- and treatment-related survivorship burden amongst survivors of cervical cancer and identify risk factors for hospital admissions after initial treatment.

Methods

Retrospective chart review including patients treated for cervical cancer from 2014 to 2020 at a single urban academic institution. Clinical, demographic, and hospital admission characteristics were summarized. Associations between patient characteristics and likelihood of admission were examined using univariate and multivariate regression.

Results

Of 366 patients undergoing surveillance following completion of primary treatment, 156 (43 %) were hospitalized for cancer or treatment-related sequela in the median follow-up of 3.6 years (IQR 1.4-6.4), with a median of 2 admissions (IQR 1-4.5) per patient and 570 unique admissions. While 65 (35 %) of admitted patients had multiple reasons for admission, the most common reasons for admission were: gastrointestinal complications (43 %), infection (38 %), genitourinary complications (33 %), and pain control (23 %). A substantial proportion of admitted patients underwent interventions including surgical procedures (57 %), transfusion of blood products (40 %), and interventional radiology procedures (28 %) and utilized supportive care services including case management (53 %), physical therapy (40 %), and occupational therapy (36 %). On multivariate analysis, odds of admission were higher among Black patients (aOR 2.4, p <.01), uninsured patients (aOR 2.7, p <.05), those with lower performance status (aOR 1.4, p <.05), and those with recurrence (aOR 5.5, p <.001).

Conclusion

Survivors of cervical cancer represent a high-risk population frequently hospitalized after initial treatment. Black patients, uninsured patients, those with recurrence, and those with lower performance status faced higher odds of admission. Comprehensive, team-based care is necessary to address complex survivorship needs.

Calculating surgical readmission rates in gynecologic oncology: The impact of patient factors

OBJECTIVE

To determine the 30-day surgical readmission rate after major gynecologic oncology surgeries at a high-volume academic institution and correlated risk factors.

METHODS

Retrospective cohort study was conducted of surgical admissions from January 2016 - December 2019 at a single institution. Data were extracted from patient charts, including reason for readmission and length of stay. A readmission rate was calculated. Nested case control design was used to identify correlations between readmission and patient specific risk-factors. Multivariable logistic regression models were used to determine risk factors with readmission.

RESULTS

A total of 2152 patients were included. The readmission rate was 3.5%, most commonly due to GI disturbance and surgical site infection. Average readmission length was 5 days. Prior to adjusting for covariates, insurance status, primary diagnosis, index admission length, and disposition at discharge differed between patients who were and were not readmitted. After adjusting for co-variates, younger patients, index admission >2 days, and higher Charlson co-morbidity index were associated with readmission.

CONCLUSIONS

Our surgical readmission rate was lower than previously reported rates in gynecologic oncology patients. Patient factors associated with readmission included younger age, longer index hospital admission, and higher medical co-morbidity index scores. Provider factors and institutional practice patterns could contribute to the decreased readmission rate. These findings underscore the importance of standardizing how we calculate readmission rate and interpret these data. Varying readmission rates and institutional practice patterns deserve closer scrutiny to inform best practice and future policies.

Obesity and gynecological cancers: A toxic relationship

Despite the evidence supporting the relevance of obesity and obesity‐associated disorders in the development, management, and prognosis of various cancers, obesity rates continue to increase worldwide. Growing evidence supports the involvement of obesity in the development of gynecologic malignancies. This article explores the molecular basis governing the alteration of hallmarks of cancer in the development of obesity‐related gynecologic malignancies encompassing cervical, endometrial, and ovarian cancers. We highlight specific examples of how development, management, and prognosis are affected for each cancer, incorporate current knowledge on complementary approaches including lifestyle interventions to improve patient outcomes, and highlight how new technologies are helping us better understand the biology underlying this neglected pandemic.

This review focuses on how obesity impacts cancer hallmarks in gynecologic malignancies, thus affecting the diagnosis, management, treatment, and prognosis of these diseases.