Opioid-Related Constipation

Constipation: a neglected condition in older emergency department patients

Constipation and fecal impaction are common issues with the potential for significant morbidity in older people presenting to the Emergency Department (ED). While many of these patients present with classical symptoms of constipation or fecal impaction, atypical presentations are also frequent. These atypical presentations may include paradoxical diarrhea, fecal incontinence, urinary retention or overflow incontinence, hyperactive or hypoactive delirium, anorexia/dysphagia, and syncope. In addition, various clinical conditions (such as dementia, Parkinson's disease, dehydration, and hypothyroidism) and medications (such as opiate analgesics, anticholinergics, diuretics, calcium channel blockers, anti-parkinsonian drugs, and oral iron supplements) are associated with constipation and should be considered during the diagnostic process in the ED. This narrative review specifically focuses on the prevalence, presentation, diagnoses, and management of constipation in older ED patients.

Exploring the top 30 drugs associated with drug-induced constipation based on the FDA adverse event reporting system

Objective

This project aims to identify the top 30 drugs most commonly associated with constipation and their signal values within the FDA Adverse Event Reporting System database.

Methods

We extracted adverse drug events (ADEs) related to constipation from the FAERS database spanning from January 1, 2004, to September 30, 2023. We compiled the 30 most frequently reported drugs based on the frequency of constipation events. We employed signal detection methodologies to ascertain whether these drugs elicited significant signals, including reporting odds ratio, proportional reporting ratio, multi-item gamma Poisson shrinker, and information component given by the Bayesian confidence propagation neural network. Furthermore, we conducted a time-to-onset (TTO) analysis for drugs generating significant signals using the medians, quartiles, and the Weibull shape parameter test.

Results

We extracted a total of 50, 659, 288 ADEs, among which 169,897 (0.34%) were related to constipation. We selected and ranked the top 30 drugs. The drug with the highest ranking was lenalidomide (7,730 cases, 4.55%), with the most prevalent drug class being antineoplastic and immunomodulating agents. Signal detection was performed for the 30 drugs, with constipation risk signals identified for 26 of them. Among the 26 drugs, 22 exhibited constipation signals consistent with those listed on the FDA-approved drug labels. However, four drugs (orlistat, nintedanib, palbociclib, and dimethyl fumarate) presented an unexpected risk of constipation. Ranked by signal values, sevelamer carbonate emerged as the drug with the strongest risk signal [reporting odds ratio (95% CI): 115.51 (110.14, 121.15); PRR (χ2): 83.78 (191,709.73); EBGM (EB05): 82.63 (79.4); IC (IC025): 6.37 (4.70)]. A TTO analysis was conducted for the 26 drugs that generated risk signals, revealing that all drugs exhibited an early failure type. The median TTO for orlistat was 3 days, the shortest of all the drugs, while the median TTO for clozapine was 1,065 days, the longest of all the drugs.

Conclusion

Our study provides a list of drugs potentially associated with drug-induced constipation (DIC). This could potentially inform clinicians about some alternative medications to consider when managing secondary causes of constipation or caring for patients prone to DIC, thereby reducing the incidence and mortality associated with DIC.

Efficacy and Safety of Paragastric Neural Blockade in Controlling Pain, Nausea, and Vomiting After Sleeve Gastrectomy: A Randomized Controlled Trial

BACKGROUND

There are difficulties in controlling the symptoms of pain, nausea, and vomiting after laparoscopic sleeve gastrectomy (LSG). This study aimed to evaluate the efficacy and safety of PGNB on pain and nausea and vomiting in the early postoperative period in patients who underwent LSG.

METHODS

In this prospective, randomized, controlled, double-blind study, the patients were divided into two equally formed groups: patients who underwent PGNB after LSG and the control group. Postoperative pain symptoms were evaluated using the visual analog scale (VAS) scores, and nausea and vomiting symptoms were evaluated using the postoperative nausea and vomiting (PONV) scores.

RESULTS

The study was completed with 90 patients, 45 patients in each group. The VAS scores measured at postoperative hours 1, 6, and 12 were statistically significantly lower in the PGNB group. There was no significant difference between the two groups in terms of the 24th hour VAS scores. The mean PONV scores of the PGNB and control groups were 0.47 ± 0.89 and 1.67 ± 1.95, respectively, revealing a significantly higher value for the controls. The mean time to first mobilization in the postoperative period was significantly shorter in the PGNB group. Upon the evaluation of patient satisfaction, it was determined that the satisfaction score of the PGNB group was significantly higher.

CONCLUSIONS

PGNB is an effective and safe method for managing pain, nausea, and vomiting that occur in the early period after LSG.

Causal effects and immune cell mediators between prescription analgesic use and risk of infectious diseases: a Mendelian randomization study

Introduction

Clinical observations have found that prolonged use of analgesics increases the incidence of infection. However, the direct causal relationship between prescription analgesic use (PAU) and risk of infection (ROI) remains unclear.

Methods

This study used Mendelian randomization (MR) design to estimate the causal effect of PAU on ROI, as well as their mediating factors. Genetic data on prescription analgesics use and immune cells were obtained from published GWAS. Additionally, data on ROI were extracted from the FinnGen database. Two-sample MR analysis and multivariate MR (MVMR) analysis were performed using inverse variance weighting (IVW) to ascertain the causal association between PAU and ROI. Finally, 731 immune cell phenotypes were analyzed for their mediating role between analgesics and infection.

Results

Using two-sample MR, IVW modeling showed that genetically predicted opioid use was associated with increased risk of pulmonary infection (PI) (OR = 1.13, 95% CI: 1.05-1.21, p< 0.001) and upper respiratory infection (URI) (OR = 1.18, 95% CI: 1.08-1.30, p< 0.001); non-steroidal anti-inflammatory drugs (NSAIDs) were related to increased risk of skin and subcutaneous tissue infection (OR = 1.21, 95% CI: 1.05-1.39, p = 0.007), and antimigraine preparations were linked to a reduced risk of virus hepatitis (OR = 0.79, 95% CI: 0.69-0.91, p< 0.001). In MVMR, the association of opioids with URI and PI remained after accounting for cancer conditions. Even with a stricter threshold (p< 0.05/30), we found a significant causal association between opioids and respiratory infections (URI/PI). Finally, mediation analyses found that analgesics influence the ROI through different phenotypes of immune cells as mediators.

Conclusion

This MR study provides new genetic evidence for the causal relationship between PAU and ROI, and the mediating role of immune cells was demonstrated.

Prevalence and Burden of Illness of Rome IV Chronic Idiopathic Constipation, Opioid-Induced Constipation, and Opioid-Exacerbated Constipation in the United States

INTRODUCTION

Chronic idiopathic constipation (CIC) and opioid-induced constipation (OIC) are disorders that negatively affect quality of life. We sought to assess the prevalence, symptom severity, and medication use among people with Rome IV CIC, OIC, and opioid-exacerbated constipation (OEC) using a nationally representative data set with nearly 89,000 people in the United States.

METHODS

From May 3, 2020, to June 24, 2020, we recruited a representative sample of people in the United States ≥ 18 years to complete an online national health survey. The survey guided participants through the Rome IV CIC and OIC questionnaires, Patient-Reported Outcome Measurement Information System gastrointestinal scales (percentile 0-100; higher = more severe), and medication questions. Individuals with OEC were identified by asking those with OIC whether they experienced constipation before starting an opioid and whether their symptoms worsened afterward.

RESULTS

Among the 88,607 participants, 5,334 (6.0%) had Rome IV CIC, and 1,548 (1.7%) and 335 (0.4%) had Rome IV OIC and OEC, respectively. When compared with people with CIC (Patient-Reported Outcome Measurement Information System score, 53.9 ± 26.5; reference), those with OIC (62.7 ± 28.0; adjusted P < 0.001) and OEC (61.1 ± 25.8, adjusted P = 0.048) had more severe constipation symptoms. People with OIC (odds ratio 2.72, 95% confidence interval 2.04-3.62) and OEC (odds ratio 3.52, 95% confidence interval 2.22-5.59) were also more likely to be taking a prescription medication for their constipation vs those with CIC.

DISCUSSION

In this nationwide US survey, we found that Rome IV CIC is common (6.0%) while Rome IV OIC (1.7%) and OEC (0.4%) are less prevalent. Individuals with OIC and OEC have a higher burden of illness with respect to symptom severity and prescription constipation medication use.

Common gastrointestinal drug-drug interactions in geriatrics and the importance of careful planning

INTRODUCTION

Polypharmacy, which uses multiple medications to treat chronic illnesses, is common among elderly patients. However, it can lead to drug interactions, especially with gastrointestinal (GI) medicines that are extensively used. These drug interactions can have severe consequences and pose a significant challenge to healthcare providers. Therefore, it is crucial to identify the underlying mechanisms of these interactions and develop strategies to minimize medication errors.

AREAS COVERED

We analyzed databases on GI illnesses common in older adults, including GERD, peptic ulcer disease, IBS, IBD, constipation, and diarrhea. Our research identified noteworthy drug interactions and utilized major electronic databases such as USFDA, PubMed, Scopus, and Google Scholar until 15 May 202315 May 2023, along with a review of reference lists.

EXPERT OPINION

Aging can affect how the body processes drugs, leading to an increased risk of drug interactions. Therefore, healthcare professionals must carefully evaluate a patient's medical history and health condition to design personalized treatment plans.