Effects of pain severity and CT imaging on analgesia prescription in acute appendicitis

Value of indomethacin suppository for preoperative analgesia and anti-inflammation in laparoscopic appendectomy: a protocol of prospective, double-blinded, single-centre, randomised controlled trial in China

INTRODUCTION

Postoperative pain has always been a problem for patients and surgeons. Local inflammation, surgical trauma and pain in the body can cause a systemic stress response and immune imbalance, which can affect the patient's rapid recovery. Currently, most of the perioperative pain management is focused on the postoperative phase. The non-steroidal anti-inflammatory drug indomethacin suppository has antipyretic and analgesic effects. This study will evaluate the value of indomethacin suppository for analgesia and anti-inflammation before laparoscopic appendectomy (LA).

METHODS AND ANALYSIS

A single-centre, double-blinded (clinician, assessor, data entry), randomised controlled trial will be conducted in 128 adult patients undergoing LA under emergency general anaesthesia with a Visual Analogue Scale (VAS) >2. The trial was divided into two groups (n=64) using a randomised number table: group A will be given 100 mg of indomethacin suppository rectally and group B will be given 8 mg of intravenous lornoxicam. The postoperative analgesic effect, inflammatory response and incidence of postoperative adverse effects will be compared.

ETHICS AND DISSEMINATION

The study is in accordance with the Declaration of Helsinki and will be conducted in accordance with the principles of Good Clinical Practice. This trial was approved by the Ethics Committee of Beijing Luhe Hospital, Capital Medical University (2021-LHKY-123-02). We will disseminate our study findings at national and international paediatric research conferences.

TRIAL REGISTRATION NUMBER

Chinese Clinical Trial Registry (ChiCTR2200062004).

Factors that affect pain management in adults diagnosed with acute appendicitis in the emergency department: A retrospective study

BACKGROUND

Analgesic treatment, including with opioids, can safely be given to patients who are suspected of having appendicitis. The study examined factors which may influence the treatment of pain in appendicitis in the adult emergency department (ED). A secondary objective was to determine if analgesia affected clinical outcomes.

METHODS

This single-center retrospective study examined medical records of all adult patients with a discharge diagnosis of appendicitis. Patients were categorized based on the type of analgesia received in the ED. Variables included the day of week and staffing shift of presentation, gender, age, and triage pain scale, as well as time to ED discharge, imaging, operation, and hospital discharge. Univariable and multivariable logistic regression models were performed to determine which factors influenced treatment and affected outcomes.

RESULTS

Records of 1839 patients were categorized into three groups - 883 (48%) did not receive analgesia, 571 (31%) received only non-opioid medications, and 385 (21%) received at least one opioid. Patients with a higher triage pain level were significantly more likely to receive analgesia (4-6: OR = 1.85; 95% CI = 1.2-2.84, 7-9: OR = 3.36; 95% CI = 2.18-5.17, 10: OR = 10.78; 95% CI = 6.38-18.23) and at least one opioid (4-6: OR = 2.88; 95% CI = 1.13-7.34, 7-9: OR = 4.36; 95% CI = 1.73-11.01, 10: OR = 6.23; 95% CI = 2.42-16.09). Male gender was associated with a significantly lower likelihood of receiving analgesia (OR = 0.74; 95% CI = 0.61-0.9), but a significantly greater likelihood of receiving at least one opioid given that they received any pain medication (OR = 1.87; 95% CI = 1.41-2.48). Patients aged 25-64 years old were significantly more likely to receive at least one opioid if they received any pain medication (25-44: OR = 1.47; 95% CI = 1.08-2.02, 45-64: OR = 1.78; 95% CI = 1.15-2.76). Presentation to the ED on Sundays was associated with lower rates of opioid treatment (OR = 0.63; 95% CI = 0.42-0.94). Regarding clinical outcomes, patients who received analgesia waited longer for imaging (+0.58 h; 95% CI = 0.31-0.85), stayed longer in the ED (+2.2 h; 95% CI = 1.60-2.79), and had a slightly longer hospitalization (+0.62d; 95% CI = 0.34-0.90).

CONCLUSIONS

Almost half of patients with appendicitis didn't receive analgesia, with most of those treated receiving only non-opioid analgesia. Older age and Sunday presentations were associated with less opioid treatment. Patients who received analgesia waited longer for imaging, stayed longer in the ED, and had a longer hospitalization.

Prediction of acute appendicitis among patients with undifferentiated abdominal pain at emergency department

Background

Early screening and accurately identifying Acute Appendicitis (AA) among patients with undifferentiated symptoms associated with appendicitis during their emergency visit will improve patient safety and health care quality. The aim of the study was to compare models that predict AA among patients with undifferentiated symptoms at emergency visits using both structured data and free-text data from a national survey.

Methods

We performed a secondary data analysis on the 2005-2017 United States National Hospital Ambulatory Medical Care Survey (NHAMCS) data to estimate the association between emergency department (ED) patients with the diagnosis of AA, and the demographic and clinical factors present at ED visits during a patient’s ED stay. We used binary logistic regression (LR) and random forest (RF) models incorporating natural language processing (NLP) to predict AA diagnosis among patients with undifferentiated symptoms.

Results

Among the 40,441 ED patients with assigned International Classification of Diseases (ICD) codes of AA and appendicitis-related symptoms between 2005 and 2017, 655 adults (2.3%) and 256 children (2.2%) had AA. For the LR model identifying AA diagnosis among adult ED patients, the c-statistic was 0.72 (95% CI: 0.69–0.75) for structured variables only, 0.72 (95% CI: 0.69–0.75) for unstructured variables only, and 0.78 (95% CI: 0.76–0.80) when including both structured and unstructured variables. For the LR model identifying AA diagnosis among pediatric ED patients, the c-statistic was 0.84 (95% CI: 0.79–0.89) for including structured variables only, 0.78 (95% CI: 0.72–0.84) for unstructured variables, and 0.87 (95% CI: 0.83–0.91) when including both structured and unstructured variables. The RF method showed similar c-statistic to the corresponding LR model.

Conclusions

We developed predictive models that can predict the AA diagnosis for adult and pediatric ED patients, and the predictive accuracy was improved with the inclusion of NLP elements and approaches.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12874-021-01490-9.