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Cisplatin is a bedrock of cancer management and one of the most used chemotherapeutic agents in the treatment of germ cell, lung, bladder, ovarian, and head and neck cancers. Approximately 500,000 patients diagnosed annually with these cancer types in the United States could be candidates for treatment with cisplatin. There is a 5-fold increase in the risk of hearing impairment or ototoxicity with cisplatin, which can manifest as ringing in the ear (tinnitus), high-frequency hearing loss, and at late stages, a decreased ability to hear normal conversation. More than half of adult and pediatric patients with cancer treated with cisplatin developed hearing impairment with major impact on patients' health-related quality of life. A considerable evidence gap persists regarding the burden and effective prevention and interception strategies for cisplatin-induced ototoxicity, especially in adult patients with cancer. We conducted a review of the published literature to provide an update on the status of this important clinical challenge. We also surveyed practicing oncologists within our network of academic and community practices to gain a better understanding of how the published literature compares with real-world practice. Our review of the literature showed a lack of standardized guidelines for monitoring and treatment of cisplatin-induced ototoxicity, especially in the adult cancer patient population. Our survey of practicing oncologists mirrored the findings from the published literature with a heterogeneity of practice, which highlights the need for standardization.

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The goal of precision medicine (individually tailored treatments) is not being achieved for neurobehavioural conditions such as psychiatric disorders. Traditional randomized clinical trial methods are insufficient for advancing precision medicine because of the dynamic complexity of these conditions. We present a pragmatic solution: the precision clinical trial framework, encompassing methods for individually tailored treatments. This framework includes the following: (1) treatment-targeted enrichment, which involves measuring patients' response after a brief bout of an intervention, and then randomizing patients to a full course of treatment, using the acute response to predict long-term outcomes; (2) adaptive treatments, which involve adjusting treatment parameters during the trial to individually optimize the treatment; and (3) precise measurement, which involves measuring predictor and outcome variables with high accuracy and reliability using techniques such as ecological momentary assessment. This review summarizes precision clinical trials and provides a research agenda, including new biomarkers such as precision neuroimaging, transcranial magnetic stimulation-electroencephalogram digital phenotyping and advances in statistical and machine-learning models. Validation of these approaches - and then widespread incorporation of the precision clinical trial framework - could help achieve the vision of precision medicine for neurobehavioural conditions.

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Background: Postoperative ambulation is encouraged to promote timely recovery but is rarely monitored objectively or examined as a predictor of clinical outcomes, despite growing availability of wearable devices that allow passive quantification and remote real-time monitoring of the number of steps taken during recovery. Purpose: To determine whether the number of steps taken during inpatient recovery predicts 30- and 60-day readmission risk after metastatic cancer surgery. Methods: Patients diagnosed with metastatic peritoneal cancer and scheduled for surgical resection were enrolled in this observational cohort study at their preoperative clinic visit. Fitbits were placed on patients' wrists upon transfer from the ICU following surgery and worn for the duration of their inpatient stay. Information about hospital readmission was extracted from electronic medical records. Results: Seventy-one patients participated in the study (mean age = 57.14, range = 31-80 years; 42% female; 51% diagnosed with appendiceal cancer). Mean steps per day were calculated for each participant over the entire inpatient recovery period (mean stay = 12.12 days, 4-37 days). Readmission within 30 and 60 days was medically indicated for 34% and 39% of patients, respectively. After statistically adjusting for age, body mass index, comorbidity, and length of postoperative stay, higher mean steps per day predicted lower 30-day and 60-day readmission risk. Conclusions: Higher Fitbit step counts during inpatient recovery predicted lower risk of 30- and 60-day readmission after surgery for metastatic peritoneal cancer. Results suggest that passively monitoring perioperative ambulation may identify patients at risk for readmission and highlight opportunities for behavioral intervention.

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PURPOSE: The current study examined prospective relationships between preoperative depressive symptoms and short-term (30-day morbidity and readmission) and long-term (overall survival) outcomes after hyperthermic intraperitoneal chemotherapy with cytoreductive surgery (HIPEC + CS). METHODS: Ninety-eight patients scheduled for HIPEC + CS completed the Center for Epidemiologic Studies-Depression (CES-D) scale before surgery. Demographic and disease-specific factors and information about morbidity and readmission within 30 days after discharge were gathered from medical records. Survival was measured from date of surgery to death. RESULTS: Twenty-eight percent of patients had CES-D scores indicative of clinically significant depressive symptoms. Thirty-day morbidity occurred in 31.9% of patients and readmission in 22.2%. At the time of analysis (median follow-up of 49 months), 71.6% of patients were deceased, with median survival time of 11 months for those who died. After adjusting for relevant preoperative demographic and disease-specific factors, depressive symptoms were associated with greater odds of 30-day morbidity (n = 68; odds ratio, 5.50; 95% CI, 1.23 to 24.73; P = .03) and greater likelihood of 30-day readmission (n = 72; odds ratio, 5.92; 95% CI, 1.27 to 27.64; P = .02). Depressive symptoms were associated with shorter survival after adjustment for preoperative demographic and disease-specific factors (n = 87; hazard ratio, 1.88; 95% CI, 1.07 to 3.31; P = .03). This association was no longer significant when intraoperative/postoperative prognostic variables were added to the statistical model (n = 87; hazard ratio, 1.31; 95% CI, 0.72 to 2.37; P = .37). CONCLUSION: Patients with clinically significant levels of preoperative depressive symptoms are at risk for poor clinical outcomes after HIPEC + CS, including greater risk of 30-day morbidity and readmission. Further research is warranted to determine biobehavioral mechanisms and examine whether effective interventions targeting preoperative depressive symptoms can reduce postoperative risk in this patient population.

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