Intractable hiccups are a rare yet debilitating pathology with a broad differential and often indicate a more serious underlying pathology, which can range from neoplasms to structural abnormalities. In this case report, we present a 64-year-old male with seven months of intractable hiccups determined to be caused by eventration of the right hemidiaphragm. The patient was treated with baclofen to treat the hiccups pharmacologically. He was also prescribed voice therapy to establish rescue breathing techniques and reduce laryngospasm. Finally, he was referred to thoracic surgery for further evaluation and potential surgical intervention should his diaphragmatic eventration worsen or cause hypoxemia. To our knowledge, this is the first reported case of an association between diaphragmatic eventration and intractable hiccups. It is important to highlight this addition to the broad differential of intractable hiccups and to emphasize an interdisciplinary approach to workup and treatment of intractable hiccups.

Background

C5 palsy is a common postoperative complication after cervical fusion and is associated with increased health care costs and diminished quality of life. Accurate prediction of C5 palsy may allow for appropriate preoperative counseling and risk stratification. We primarily aim to develop an algorithm for the prediction of C5 palsy after instrumented cervical fusion and identify novel features for risk prediction. Additionally, we aim to build a risk calculator to provide the risk of C5 palsy.

Methods

We identified adult patients who underwent instrumented cervical fusion at a tertiary care medical center between 2013 and 2020. The primary outcome was postoperative C5 palsy. We developed ensemble machine learning, standard machine learning, and logistic regression models predicting the risk of C5 palsy-assessing discrimination and calibration. Additionally, a web-based risk calculator was built with the best-performing model.

Results

A total of 1024 patients were included, with 52 cases of C5 palsy. The ensemble model was well-calibrated and demonstrated excellent discrimination with an area under the receiver-operating characteristic curve of 0.773. The following features were the most important for ensemble model performance: diabetes mellitus, bipolar disorder, C5 or C4 level, surgical approach, preoperative non-motor neurologic symptoms, degenerative disease, number of fused levels, and age.

Conclusions

We report a risk calculator that generates patient-specific C5 palsy risk after instrumented cervical fusion. Individualized risk prediction for patients may facilitate improved preoperative patient counseling and risk stratification as well as potential intraoperative mitigating measures. This tool may also aid in addressing potentially modifiable risk factors such as diabetes and obesity.