A practical score for the early diagnosis of acute appendicitis

Diagnostic accuracy of tongue coating in identifying acute appendicitis: a prospective cohort study

BACKGROUND

Acute appendicitis requires timely diagnosis. The diagnostic efficacy of tongue examination in making this diagnosis has not been established. This study investigates whether the Tongue Coating Index (TCI), a validated measure of tongue coating, can aid in diagnosing acute appendicitis.

METHODS

We conducted a prospective cohort study (1 September 2018-31 December 2020) at a single Japanese hospital. Adults (≥20 years) with suspected acute appendicitis, presenting to either the emergency department or general outpatient clinic, were enrolled. Tongue images were taken at presentation; two independent examiners-unrelated to clinical care and blinded to patient data-later scored these images using the TCI. A composite reference standard (clinical findings, imaging, histopathology, follow-up) was used to confirm appendicitis. We compared the TCI's diagnostic performance with the Alvarado score and its components using C-index, area under the curve (AUC), sensitivity and specificity.

RESULTS

Of 145 included patients, 69 (47.6%) were diagnosed with acute appendicitis. The TCI demonstrated comparable discriminative ability (C-index AUC 0.62; 95% CI, 0.53 to 0.71) to that of the Alvarado score (0.66; 95% CI, 0.57 to 0.75). Of Alvarado score components, migration of pain had an AUC of 0.63 (95% CI, 0.55 to 0.71), anorexia 0.58 (95% CI, 0.50 to 0.66) and tenderness in the right lower quadrant 0.55 (95% CI, 0.50 to 0.60). At a cut-off of 3, the TCI demonstrated high sensitivity of 96% (95% CI, 88% to 98%) but low specificity of 21% (95% CI, 13% to 32%). Conversely, at a cut-off of 10, the TCI showed increased specificity of 83% (95% CI, 73% to 90%) but reduced sensitivity of 29% (95% CI, 20% to 41%).

CONCLUSION

The TCI showed comparable diagnostic performance to the Alvarado score and its individual components. TCI may potentially serve as an additional non-invasive indicator for diagnosing or ruling out acute appendicitis. Further research is essential to validate its clinical utility.

Progress in the application of machine learning in CT diagnosis of acute appendicitis

Acute appendicitis represents a prevalent condition within the spectrum of acute abdominal pathologies, exhibiting a diverse clinical presentation. Computed tomography (CT) imaging has emerged as a prospective diagnostic modality for the identification and differentiation of appendicitis. This review aims to synthesize current applications, progress, and challenges in integrating machine learning (ML) with CT for diagnosing acute appendicitis while exploring prospects. ML-driven advancements include automated detection, differential diagnosis, and severity stratification. For instance, deep learning models such as AppendiXNet achieved an AUC of 0.81 for appendicitis detection, while 3D convolutional neural networks (CNNs) demonstrated superior performance, with AUCs up to 0.95 and an accuracy of 91.5%. ML algorithms effectively differentiate appendicitis from similar conditions like diverticulitis, achieving AUCs between 0.951 and 0.972. They demonstrate remarkable proficiency in distinguishing between complex and straightforward cases through the innovative use of radiomics and hybrid models, achieving AUCs ranging from 0.80 to 0.96. Even with these advancements, challenges remain, such as the "black-box" nature of artificial intelligence, its integration into clinical workflows, and the significant resources required. Future directions emphasize interpretable models, multimodal data fusion, and cost-effective decision-support systems. By addressing these barriers, ML holds promise for refining diagnostic precision, optimizing treatment pathways, and reducing healthcare costs.

Extra-abdominal CT imaging indicates increased severity of illness in advanced age patients requiring emergency abdominal surgery

BACKGROUND

Abdominal sepsis frequently causes neurologic and pulmonary dysfunction among geriatric patients, We hypothesize that patients with abdominal sepsis who undergo extra-abdominal imaging have a greater burden of illness.

METHODS

Patients 65 years and older that underwent emergency abdominal surgery for sepsis were divided into those with abdominal only(AbdCT) versus abdominal and extra-abdominal(ExtraCT) imaging.

RESULTS

ExtraCT patients(N ​= ​30) compared to AbdCT(N ​= ​97) had higher rates of dementia(13.3 ​% versus 3.3 ​%; p ​= ​0.03), diabetes(93.3 ​% versus 60.1 ​%; p ​< ​0.01 and COPD(70 ​% versus 29.9 ​%; p ​< ​0.01) but lower rates of abdominal pain as chief complaint (23.3 ​% versus 81.4 ​%; p ​< ​0.01) and higher rates of being qSOFA positive (33.3 ​% vs 7.2 ​%; p ​< ​0.05). Importantly, time to OR was not different between groups. ExtraCT patients had higher rates of 30-day mortality (33.3 ​% vs 5.2 ​%; p ​< ​0.01). Extra-abdominal CT imaging was associated with increased risk of mortality (OR ​= ​5.4; 95 %CI ​= ​1.4-20.1).

CONCLUSIONS

ExtraCT among geriatric patients with abdominal emergencies is a marker of severity of illness and should guide end-of-life decision making.

Exploring diagnostic stewardship in the emergency department evaluation of pediatric abdominal pain in a statewide quality collaborative

BACKGROUND

Diagnostic stewardship is the effort to optimize diagnostic testing to reduce errors while avoiding overtesting and overtreatment. Abdominal pain and appendicitis in children are essential use cases. Delayed diagnosis of appendicitis can be dangerous and even life-threatening, but overtesting is harmful.

METHODS

We conducted a retrospective cohort study of children aged 5-17 years presenting with abdominal pain to 26 EDs within the Michigan Emergency Department Improvement Collaborative (MEDIC) from May 1, 2016, to February 29, 2024. We defined two outcome measures summarized by ED. First, we describe the cross-sectional imaging:appendicitis visits ratio, defined as the count of ED visits resulting in any cross-sectional imaging (CT or MRI) divided by the count of ED visits with a diagnosis of appendicitis. Second, we describe the delayed diagnosis rate, defined by an ED visit for abdominal pain resulting in a discharge and subsequent return visit with a diagnosis of appendicitis within 7 days.

RESULTS

The sample included 120,112 pediatric visits for abdominal pain at 26 EDs; 4967 (4.1%) were diagnosed with appendicitis. The cross-sectional imaging:appendicitis visits ratio varied by site, from as low as 0.2 (95% confidence interval [CI] 0.1-0.2) at a pediatric site to as high as 7.9 (95% CI 4.8-16.4) at an urban ED. The proportion of pediatric ED visits for abdominal pain that resulted in an identified delayed diagnosis of appendicitis was 0.1% (141/120,112). All but four sites had fewer than 10 cases of delayed diagnosis across the study period.

CONCLUSIONS

In this retrospective cohort study of 120,000+ ED visits for pediatric abdominal pain, we found that the ratio of visits with cross-sectional imaging to diagnosed cases of appendicitis varied widely across EDs. Delayed diagnosis of appendicitis was uncommon. Adherence to best practices and improved imaging quality may hold promise to improve diagnostic stewardship for children with abdominal pain across EDs.

Clinical scores for acute appendicitis in adults: A systematic review and meta-analysis of diagnostic accuracy studies

INTRODUCTION

Early diagnosis of acute appendicitis is crucial to prevent complications. Numerous scores exist, but a comprehensive review comparing them is lacking. This systematic review aimed to compare all published clinical scoring systems for diagnosing acute appendicitis in adults.

METHODS

A systematic review and meta-analysis included studies assessing the diagnostic accuracy of clinical scores compared to histopathological findings for appendicitis. Sensitivities, specificities, diagnostic odds ratios (DOR), and summary receiver operating characteristics (SROC) were calculated.

RESULTS

A total of 40 studies were included. The RIPASA score showed superior sensitivity (0.93 [95 ​% CI 0.78-0.98]; I2 ​= ​96 ​%), specificity (0.81 [95 ​% CI 0.62-0.91]; I2 ​= ​86 ​%), and DOR (45.3 [95 ​% CI 10.9-187.2]; I2 ​= ​89 ​%). The AUC for the SROC curve of the RIPASA score was 0.913. A significant difference was found between the RIPASA score and both the Alvarado score (p ​< ​0.002) and the Modified Alvarado score (p ​< ​0.004) in SROC curves.

CONCLUSIONS

Our findings indicate that RIPASA is the most effective scoring system. Although the Alvarado score is the most studied, many other scores possess higher diagnostic accuracy.

Acute appendicitis and its treatment: a historical overview

PURPOSE

Acute appendicitis (AA) is the leading cause of acute abdomen worldwide, with an incidence of 90-100 cases per 100,000 individuals annually and a lifetime risk of 7-12%. Despite its prevalence, historical accounts of AA are limited, particularly when compared to conditions like haemorrhoids, likely due to the appendix's internal location. This article traces the historical evolution of AA treatment from ancient times to the present, highlighting key contributions.

METHODS

A review of common research databases and relevant literature on AA was conducted.

RESULTS

Evidence from ancient Egypt suggests early recognition of the appendix, referring to it as the "worm of the bowel." However, detailed anatomical descriptions and treatment approaches for AA did not emerge until the Renaissance, particularly with contributions from Leonardo da Vinci and Berengario da Carpi. The article traces the progression of AA management, including the first autopsies and surgeries, the development of surgical techniques predating anaesthesia and antisepsis, and advancements achieved from the nineteenth to the twenty-first century. The shift from conservative to surgical approaches is discussed, alongside innovations such as laparoscopic appendicectomy, single-incision laparoscopic surgery (SILS), natural orifice transluminal endoscopic surgery (NOTES), and endoscopic retrograde appendicitis therapy (ERAT). The impact of the COVID-19 pandemic on AA treatment, including adaptations in medical practices, is also explored.

CONCLUSIONS

This review highlights the significant historical developments in AA treatment and its pivotal role in advancing abdominal surgery.

C-Reactive Protein, International Normalized Ratio, and Fibrinogen in Diagnostic Scale of Complicated Acute Appendicitis

Background/Objectives: Differentiating complicated acute appendicitis (CA) and uncomplicated acute appendicitis (UC) is essential to guide clinical management. While CA requires urgent surgical management, UC can be treated with antibiotic therapy in selected cases. However, accurate identification of CA remains a clinical challenge. This study aimed to identify factors associated with CA and to develop a diagnostic severity scale. Methods: In this retrospective study, we included 132 adult patients (>16 years) with a confirmed postsurgical diagnosis of appendicitis, of whom 52 had CA and 80 had UA. Signs, symptoms, comorbidities, laboratory values, and ultrasonographic findings were evaluated to determine predictive factors and construct a diagnostic scale. Results: The factors most significantly associated with CA were elevated plasma concentrations of C-reactive protein (>7.150 mg/dL), fibrinogen (481.5 mg/dL), International Normalized Ratio (INR) (>1.150), and the presence of free fluid periappendicular. The combination of these factors within one scale showed an area under the curve (AUC) of 0.84, with a sensitivity of 78.75% and a specificity of 82.69%. Conclusions: Serum C-reactive protein concentration, fibrinogen, and INR can be employed individually or as part of a scale as important indicators in diagnosing CA.

Machine-learning-assisted Preoperative Prediction of Pediatric Appendicitis Severity

PURPOSE

This study evaluates the effectiveness of machine learning (ML) algorithms for improving the preoperative diagnosis of acute appendicitis in children, focusing on the accurate prediction of the severity of disease.

METHODS

An anonymized clinical and operative dataset was retrieved from the medical records of children undergoing emergency appendectomy between 2014 and 2021. We developed an ML pipeline that pre-processed the dataset and developed algorithms to predict 5 appendicitis grades (1 - non-perforated, 2 - localized perforation, 3 - abscess, 4 - generalized peritonitis, and 5 - generalized peritonitis with abscess). Imputation strategies were used for missing values and upsampling techniques for infrequent classes. Standard classifier models were tested. The best combination of imputation strategy, class balancing technique and classification model was chosen based on validation performance. Model explainability was verified by a pediatric surgeon. Our model's performance was compared to another pediatric appendicitis severity prediction tool.

RESULTS

The study used a retrospective cohort including 1980 patients (60.6 % males, average age 10.7 years). Grade of appendicitis in the cohort was as follows: grade 1-70 %; grade 2-8 %; grade 3-7 %; grade 4-7 %; grade 5-8 %. Every combination of 6 imputation strategies, 7 class-balancing techniques, and 5 classification models was tested. The best-performing combined ML pipeline distinguished non-perforated from perforated appendicitis with 82.8 ± 0.2 % NPV and 56.4 ± 0.4 % PPV, and differentiated between severity grades with 70.1 ± 0.2 % accuracy and 0.77 ± 0.00 AUROC. The other pediatric appendicitis severity prediction tool gave an accuracy of 71.4 %, AUROC of 0.54 and NPV/PPV of 71.8/64.7.

CONCLUSION

Prediction of appendiceal perforation outperforms prediction of the continuum of appendicitis grades. The variables our models primarily rely on to make predictions are consistent with clinical experience and the literature, suggesting that the ML models uncovered useful patterns in the dataset. Our model outperforms the other pediatric appendicitis prediction tools. The ML model developed for grade prediction is the first of this type, offering a novel approach for assessing appendicitis severity in children preoperatively. Following external validation and silent clinical testing, this ML model has the potential to enable personalized severity-based treatment of pediatric appendicitis and optimize resource allocation for its management.

LEVEL OF EVIDENCE: 3

Mesothelial cell responses to acute appendicitis or small bowel obstruction reactive ascites: Insights into immunoregulation of abdominal adhesion

Previous abdominal surgery (PAS) increases risk of small bowel obstruction (SBO) due to adhesions, and appendectomy (appy) is an independent risk factor for abdominal adhesion-related complications. Peritoneal inflammation, e.g., acute appendicitis (AA), causes formation of reactive ascitic fluid (rA) that activates peritoneum surface mesothelial cells (MCs) to form adhesions. Pathologic adhesions may arise if restoration of MC-regulated fibrinolysis and secretion of glycocalyx (GCX) are disrupted. Proteins affecting these processes may originate from peritoneal rA. This is a prospective observational IRB-approved study at three Level 1 trauma centers where rA is collected prior to surgical intervention for non-perforated AA or adhesiolysis for SBO. Samples from 48 appy and 15 SBO patients were used to treat human MCs and subjected to quantification of 85 inflammatory mediators. Results were compared between patients with surgically naïve abdomens (naïve) and patients with >1 PAS. Select rA caused MCs to form clusters of fibroblastic cells, extracellular matrix fibers (FIB), and secretion of GCX. PAS and naïve patient rA fluids were clustered into "fiber-GCX" (FIB-GCX) groups: highFIB-highGCX, highFIB-lowGCX, noFIB-highGCX, noFIB-lowGCX, and noFIB-noGCX. Between groups, 26 analytes were differentially abundant including innate immune response, wound healing, and mucosal defense proteins. Factors that contributed to the differences between groups were rA-induced highFIB and history of PAS. Overall, PAS patient rA showed a muted immune response compared to rA from naïve patients. Our data suggest that abdominal surgery may negatively impact future immune responses in the abdomen. Further, quantifying immunomodulators in peritoneal rA may lead to the development a personalized approach to post-surgical adhesion treatment and prevention.

Diagnostic value of the MZXBTCH scoring system for acute complex appendicitis

The objective of this study was to develop a novel scoring model, assess its diagnostic value for complex appendicitis, and compare it with existing scoring systems. A total of 1,241 patients with acute appendicitis were included, comprising 868 patients in the modeling group (mean age, 35.6 ± 14.2 years; 52.4% men) and 373 patients in the validation group (mean age, 36.2 ± 13.8 years; 53.1% men). Among them, 28.4% (346/1,241) were diagnosed with complex appendicitis. The distribution of clinical features, laboratory results, and imaging findings was comparable between the two groups. The data from the modeling group were used to develop the MZXBTCH scoring system, which subsequently validated using the validation group data. Based on postoperative pathological diagnoses, the validation group (n = 373) was scored using the Alvarado, Raja Isteri Pengiran Anak Saleha (RIPASA), Appendicitis Inflammatory Response (AIR), and MZXBTCH scoring systems. Receiver operating characteristic (ROC) curves were plotted to compare the diagnostic efficacy of these scoring systems for complex appendicitis. Multivariate logistic regression analysis identified preoperative body temperature (odds ratio (OR) = 1.104; 95% confidence interval (CI) 1.067-1.143; P < 0.001), preoperative C-reactive protein (CRP) level (OR = 1.002; 95% CI 1.001-1.002; P < 0.001), lymphocyte percentage (OR = 0.994; 95% CI 0.990-0.996; P < 0.001), appendiceal fecal stones (OR = 1.127; 95% CI 1.068-1.190; P < 0.001), periappendiceal fat stranding (OR = 1.133; 95% CI 1.072-1.198; P < 0.001), and appendix diameter (OR = 1.013; 95% CI 1.004-1.022; P < 0.001) as independent risk factors for complex appendicitis. Using R programming, a nomogram based on these independent risk factors was constructed to derive MZXBTCH scores. ROC curve analysis of the MZXBTCH model indicated an area under the curve (AUC) of 0.773. ROC curve analysis revealed that the AUC values of the Alvarado, RIPASA, AIR, and MZXBTCH scoring systems were 0.66, 0.68, 0.76, and 0.82, respectively. Sensitivities were 64.29%, 66.33%, 68.37%, and 74.49%, and specificities were 55.64%, 60%, 75.64%, and 76.36%, respectively. Positive predictive values were 0.34, 0.37, 0.5, and 0.53, while negative predictive values were 0.81, 0.83, 0.87, and 0.89. Accuracy rates were 0.58, 0.62, 0.74, and 0.76, respectively. The MZXBTCH scoring system demonstrated higher sensitivity, specificity, and accuracy compared with the Alvarado, RIPASA, and AIR scoring systems in distinguishing complex appendicitis.

Case Series of Acute Appendicitis Associated With Waterborne Pathogen Exposure in College Students

This case series investigates the incidence of acute appendicitis among 24 college students in Ad-Damazin, Blue Nile region, Sudan, linked to the consumption of polluted water. This study was conducted from December 21, 2023, to January 4, 2024, with patients presenting to the emergency department exhibiting symptoms consistent with appendicitis. Diagnostic confirmation was achieved through clinical evaluation, radiological imaging, and histopathological examination. Pathogens isolated included Pseudomonas aeruginosa (54.2%), Escherichia coli (20.8%), and Yersinia enterocolitica (8.3%), correlating with pathogens detected in contaminated water samples. Patients with confirmed appendicitis experienced significant morbidity, including surgical site infections in two cases, which extended their hospitalization. Following water source decontamination, no new cases of appendicitis were reported, supporting a direct link between polluted water and appendicitis incidence. This study highlights the role of environmental factors in appendicitis etiology and underscores the necessity for improved water quality management in high-risk areas. Public health interventions targeting water sanitation could significantly reduce appendicitis cases and related complications, emphasizing the need for further research on environmental influences on gastrointestinal health.

Predictive Factors of Acute Appendicitis and Its Outcomes Among the Pediatric Age Group

Background Acute appendicitis in preschool children remains a diagnostic challenge despite advanced imaging techniques' widespread availability. The majority of these children come late, often with complications such as appendicular perforation, abscess development, and peritonitis. As a consequence, hospital stays are lengthy and linked with an increase in morbidity and mortality. In this research, we aim to predict the factors of acute appendicitis and its outcomes among the pediatric age group. Methods We conducted a retrospective study at the Maternity and Children's Hospital, Al Ahsa, Saudi Arabia, from 2022 to 2023 by reviewing the medical records of pediatric patients younger than 14 years admitted to the ER with acute appendicitis. We divided the patients into either complicated or simple appendicitis. We compared the two groups in terms of baseline characteristics, symptoms, and signs by using the Pediatric Appendicitis Score, duration of symptoms, and length of hospital stay as factors, and we assessed the significant predictive factors for the diagnosis of the type of appendicitis and length of hospital stay. Results During the study period, 246 children with a mean age of 10.1 ± 2.2 years and a male predominance of 171 (69.5%) presented with appendicitis. Simple appendicitis affected half of the participants (137, 55.7%) compared to complicated (76, 30.9%). Thirty-three children (13.4%) had a normal appendix. Complex appendicitis affected 76 (30.9%) of cases. Of those who received conservative treatment, 105 (42.7%) had a failure rate of 32 (30.5%). The mean hospital stay was 5.5 ± 4.0 days. Children under five years with complicated appendicitis had high appendicitis scores (p = < 0.05). Conclusion The predictive factors for pediatric appendicitis diagnosis are helpful in identifying those children who require intervention. However, the most crucial diagnostic instruments for determining the diagnosis of appendicitis in children are still the clinical signs and a physical abdominal examination.

Machine-learning based prediction of appendicitis for patients presenting with acute abdominal pain at the emergency department

BACKGROUND

Acute abdominal pain (AAP) constitutes 5-10% of all emergency department (ED) visits, with appendicitis being a prevalent AAP etiology often necessitating surgical intervention. The variability in AAP symptoms and causes, combined with the challenge of identifying appendicitis, complicate timely intervention. To estimate the risk of appendicitis, scoring systems such as the Alvarado score have been developed. However, diagnostic errors and delays remain common. Although various machine learning (ML) models have been proposed to enhance appendicitis detection, none have been seamlessly integrated into the ED workflows for AAP or are specifically designed to diagnose appendicitis as early as possible within the clinical decision-making process. To mimic daily clinical practice, this proof-of-concept study aims to develop ML models that support decision-making using comprehensive clinical data up to key decision points in the ED workflow to detect appendicitis in patients presenting with AAP.

METHODS

Data from the Dutch triage system at the ED, vital signs, complete medical history and physical examination findings and routine laboratory test results were retrospectively extracted from 350 AAP patients presenting to the ED of a Dutch teaching hospital from 2016 to 2023. Two eXtreme Gradient Boosting ML models were developed to differentiate cases with appendicitis from other AAP causes: one model used all data up to and including physical examination, and the other was extended with routine laboratory test results. The performance of both models was evaluated on a validation set (n = 68) and compared to the Alvarado scoring system as well as three ED physicians in a reader study.

RESULTS

The ML models achieved AUROCs of 0.919 without laboratory test results and 0.923 with the addition of laboratory test results. The Alvarado scoring system attained an AUROC of 0.824. ED physicians achieved AUROCs of 0.894, 0.826, and 0.791 without laboratory test results, increasing to AUROCs of 0.923, 0.892, and 0.859 with laboratory test results.

CONCLUSIONS

Both ML models demonstrated comparable high accuracy in predicting appendicitis in patients with AAP, outperforming the Alvarado scoring system. The ML models matched or surpassed ED physician performance in detecting appendicitis, with the largest potential performance gain observed in absence of laboratory test results. Integration could assist ED physicians in early and accurate diagnosis of appendicitis.

APENDIC-RADS: an ultrasound reporting system for the diagnosis of acute appendicitis

OBJECTIVE

Abdominal ultrasonography is widely used to evaluate suspected cases of appendicitis. Objective descriptions of the direct and indirect signs of appendicitis result in varied assessments of its likelihood. This study introduces the Appendix Imaging Reporting and Data System (APENDIC-RADS) to standardize the reporting of appendix ultrasound findings.

METHODS

This single-center retrospective study included consecutive patients of all ages who underwent abdominal ultrasonography for the investigation of acute appendicitis. The primary outcome was histopathological confirmation of acute appendicitis post-surgery. The imaging findings were classified into five categories: APENDIC-RADS 0, where the appendix cannot be visualized; APENDIC-RADS 1, indicating a normal appendix; APENDIC-RADS 2, describing an appendix that is likely normal but only partially visualized; APENDIC-RADS 3, appendicitis cannot be ruled out due to uncertain features and APENDIC-RADS 4, acute appendicitis.

RESULTS

A total of 747 patients were assessed for suspected acute appendicitis using ultrasonography. Of the diagnosed patients, 52% were male, primarily exhibiting symptoms such as nausea and/or vomiting (60%), right iliac fossa pain (54%), and sudden decompression in the right iliac fossa (24%). Stratification into APENDIC-RADS categories revealed a significant variation in the incidence of acute appendicitis, with incidence rates of 4.5% for category 0 and 0.7%, 2.2%, 11.5%, and 93.5% for categories 1 to 4, respectively (p<0.001). The APENDIC-RADS showed excellent discriminative ability, evidenced by an area under the receiver operating characteristic curve of 0.950 (95%CI=0.899-1).

CONCLUSION

APENDIC-RADS categorization demonstrated excellent performance in standardizing the ultrasound-determined probability of acute appendicitis. Its implementation could improve physician communication and standardization of patient management.

Nomogram prediction model for length of hospital stay following laparoscopic appendectomy in pediatric patients: a retrospective study

Objective

The aim of this research was to develop and internally validate a nomogram for forecasting the length of hospital stay following laparoscopic appendectomy in pediatric patients diagnosed with appendicitis.

Methods

We developed a prediction model based on a training dataset of 415 pediatric patients with appendicitis, and hospitalization data were collected retrospectively from January 2021 and December 2022. The primary outcome measure in this study was hospital length of stay (LOS), with prolonged LOS defined as admission for a duration equal to or exceeding the 75th percentile of LOS, including the discharge day. Risk factor analysis was conducted through univariate and multivariate logistic regression analyses. Based on the regression coefficients, a nomogram prediction model was developed. The discriminative performance of the predicting model was evaluated using the C-index, and an adjusted C-index was computed through bootstrapping validation. Calibration curves were generated to assess the accuracy of the nomogram. Decision curve analysis was conducted to determine the clinical utility of the predicting model.

Results

Predictors contained in the prediction nomogram included Age, neutrophil-to-lymphocyte ratio, C-reactive protein level, operative time, appendiceal fecalith, and drainage tube. The C-index of the prediction nomogram was determined to be 0.873 (95% CI: 0.838-0.908), with a corrected C-index of 0.8625 obtained through bootstrapping validation (1,000 resamples), indicating the model's favorable discrimination. Calibration curves illustrated a strong agreement between predicted and observed outcomes. According to the decision curve analysis of the nomogram, the predictive model demonstrates a net benefit at threshold probabilities exceeding 2%.

Conclusion

This nomogram, incorporating variables such as Age, neutrophil-to-lymphocyte ratio, C-reactive protein level, operative time, appendiceal fecalith, and drainage tube, offers a convenient method for assessing the duration of hospitalization in pediatric patients with appendicitis.

Optimizing the Use of Computed Tomography for Appendicitis Diagnosis in the Pediatric Emergency Department Through the Quality Improvement Methodology

BACKGROUND

Acute appendicitis is one of the most common causes of an acute abdomen among pediatric patients. The diagnosis of appendicitis is challenging due to the nonspecific presentation. Diagnosis is based on historical, physical, and serologic information as well as right lower quadrant ultrasound (RLQ US). In equivocal patients, or those with a high degree of suspicion, computed tomography (CT) of the abdomen and pelvis with intravenous (IV) contrast can be utilized to rule in appendicitis. However, optimizing diagnostic protocols to minimize ionizing radiation exposure while maintaining diagnostic accuracy is important.

METHODS

We performed a monthly retrospective analysis of CT usage among pediatric patients with suspected acute appendicitis presenting to the pediatric emergency department (ED) from June 2023 to December 2023. We used quality improvement methodology to decrease CT use with monthly Plan-Do-Study-Act (PDSA) cycles with an aim to decrease CT use by 50%. The main intervention was coordination between the ED and surgical providers to require surgical consult before ordering a CT. We quantified the number of patients who received a surgical consult before CT, the number of RLQ US performed, the number of CTs performed, and the number of appendectomies, specifically the number with perforation.

RESULTS

A total of 249 patients under 18 years of age presented to the pediatric ED with symptoms of acute appendicitis during the study period. All 249 patients underwent an initial RLQ US. The number of CTs performed decreased from a baseline of 14 in June to a nadir of four in September (71% decrease, p=0.029). There was a decrease in the percentage of patients who underwent a CT scan after an RLQ US from 36.5% in June to 11.8% in September after our intervention. In June, a total of 38 RLQ US were performed and 14 patients underwent additional CT (36.5%) and in September a total of 34 US were performed and 14 patients underwent additional CT (11.8%). There was an increase in the surgical consults rate from a baseline of seven surgical consults with 14 total CTs in June 2023 (50%) to seven consults with a total of seven CTs performed (100%) in December 2023. There was no increase in appendiceal perforation rates.

CONCLUSION

Multidisciplinary discussions between pediatric ED physicians and pediatric surgeons reduced CT usage, and corresponding radiation exposure and cost, in the evaluation of appendicitis.

Novel Ultrasonographic Evaluation of Microvascular Blood Flow for Non-Operative Management of Uncomplicated Acute Appendicitis in Children: A Prospective Clinical Study

OBJECTIVES

To determine whether superb microvascular imaging (SMI) provides a more precise delineation between reversible and irreversible stages of uncomplicated acute appendicitis managed non-operatively.

METHODS

This prospective clinical study examined pediatric patients with acute appendicitis initially treated non-operatively and evaluated using power Doppler (PD) and SMI. We determined case severity, monitor appendiceal blood flow (BF), and appendicitis reversibility. Complicated cases were excluded. Severity was classified using B-mode as well as PD, or SMI: Grade I, smooth wall/normal BF; Grade IIa, irregular wall/increased BF; Grade IIb, irregular wall/decreased BF; and Grade III, absence of wall/loss of BF.

RESULTS

This study examined a total of 100 patients with acute appendicitis, after excluding 29 patients. All 10 patients with normal BF on PD (Grade I) showed similar BF on SMI (Grade I). Among 29 patients with increased BF on PD (Grade IIa), corresponding increased BF was noted on SMI (Grade IIa), and all these patients showed full recovery. Of the 55 patients showing decreased BF on PD (Grade IIb), 52 showed increased BF on SMI (Grade IIa). The remaining three patients, identified with an impacted appendicolith, showed decreased BF on SMI (Grade IIb) and experienced treatment failure, subsequently developing abscesses. In all six patients with undetectable BF on PD (Grade III), SMI similarly could not detect appendiceal BF (Grade III), and non-operative management failed for these patients.

CONCLUSIONS

SMI offers an objective and effective means of delineating the threshold between reversible and irreversible stages in uncomplicated acute appendicitis following non-operative management.

Diagnostic Value of Serum Sodium Level and Neutrophil-to-Lymphocyte Ratio in Predicting Severity of Acute Appendicitis: A Retrospective Cross-Sectional Two-Center Study

Background and Objectives: The best way to distinguish complicated acute appendicitis (CAA) from uncomplicated acute appendicitis (UCAA) is still under debate. The aim of this study was to investigate the potential use of the serum sodium (Na+) level and the neutrophil-to-lymphocyte ratio (NLR) to distinguish CAA from UCAA and to evaluate whether CAA is more reliably diagnosed using these two variables together. Materials and Methods: This was a retrospective, cross-sectional, two-center study of patients diagnosed with AA between 1 January 2016 and 31 December 2023. The demographic and analytical variables were analyzed. The NLR was defined as the quotient between the absolute values of neutrophils and lymphocytes. Hyponatremia was defined as a serum Na+ level of ≤135 mmol/L. The sensitivity and specificity of the NLR and the serum Na+ level in the diagnosis of CAA were determined by assessing the receiver operating characteristic curves. Results: Among the patients who underwent an appendectomy, 3066 histologically confirmed AA cases were identified and included in this study. The registered data revealed that 348 (11.3%) patients had CAA, and the remaining 2718 (88.7%) patients had UCAA. The mean ages were 49.47 ± 18.97 and 38.16 ± 14.50, respectively (p < 0.001). The analysis revealed an exponential correlation between the NLR and the serum Na+ level with a moderate degree of agreement with CAA (Cohen's Kappa: 0.461, p < 0.001). For CAA, using the NLR and the serum Na+ level, the areas under the curve and the cutoffs were 0.664, 4.2 with a confidence interval (CI) of 0.647-0.681 and 0.727, 135 mmol/L with a CI of 0.711-0.742, respectively; all these values were significant with a p-value of <0.001. Conclusions: Although the serum Na+ level is a more effective marker than the NLR, using these two variables together can help detect high-risk patients who may benefit from early management by limiting delays in surgery.

Outcome of Laparoscopic Appendectomy: A Retrospective Study From a Local Secondary Referral Hospital

Introduction Laparoscopic appendectomy is currently considered the operation of choice for patients with suspected acute appendicitis. This study aimed to assess the safety and feasibility of laparoscopic appendectomy in the setting of a secondary referral hospital. Methods A retrospective cohort study was conducted from January 2021 to December 2023. Records of patients older than 14 years of age who underwent appendectomy were retrieved. Patients were divided according to the type of technique used into two groups: group I (G1) consisted of patients who underwent laparoscopic appendectomy and group II (G2) included those with an open appendectomy. Patients who underwent interval appendectomy or incidental to other procedures were excluded. The two groups were compared in terms of patient demographics, pathological findings, operative time, postoperative course, and outcome. Results Laparoscopic appendectomy was performed in 101 patients while open appendectomy was done in 121 patients. There were no statistical differences between both groups regarding operative time, blood loss, time for oral intake resumption, hospital stay, or postoperative complications. Despite being not statistically significant, surgical site infection was lower in G1 as compared to G2 (3% versus 8.3%, p=0.09). Narcotic use was significantly less following laparoscopic appendectomy. In the late settings cases of G1, there was a relatively improved mean operative time (32.7 ±18.3) when compared to early settings appendectomy (62.4±26.3), which was statistically significant (P=0.001). Conclusion Laparoscopic appendectomy is safe, feasible, and adoptable even by junior staff. Therefore, it could be applicable in settings of secondary referral hospitals as an initial line of management when performed by an expert surgeon or trainee under the supervision of seniors.

The Variable Definition of "Negative Appendicitis" Remains a Surgical Challenge

AIM

Acute appendicitis (AA) is treated primarily surgically with histopathology being the gold standard for confirmation of appendicitis and reported rates of negative appendicectomies (NA) ranging between 3.2% and 19% worldwide and 15.9-20.6% in the UK. NA rates are frequently used to identify poor performing centers as part of a Model Health System and form an integral part of appendicitis scoring systems. This study aims to evaluate the prevalence of negative appendicectomies within our institution and critically analyze the appropriateness of its use as a quality metric and its impact on clinical practice and research.

PATIENTS AND METHODS

Data analysis from a prospective dataset of pediatric appendicitis patients between 2015 and 2021 in a tertiary center in the UK was performed. Detailed analysis of negative appendicectomies was performed and further stratified by two distinct age and gender groups looking at the incidence of NA and the classification of non-histologically normal appendix specimens.

RESULTS

In our series, 819 patients met inclusion criteria, 736 (89.9%) had acute appendicitis. Our overall institutional negative appendicectomy rate was 10.1% (83 patients) with the breakdown as follows: 65 histologically normal appendix (7.9%), 10 Enterobius vermicularis, 3 eosinophilic appendicitis, 2 neoplasms, 1 isolated faecolith, 1 fibrous obliteration of the lumen, and 1 peri-appendiceal inflammation.

CONCLUSION

Our negative appendicectomy rate is below established UK pediatric NA rates. This rate ranges from 7.9% to 10.1% depending on the definition of NA utilized. A single standard pathological definition for histological acute appendicitis is required when being used as a comparative quality metric. Centers engaged in clinical research should be aware of variations in NA definitions both in scoring systems and individual centers to avoid skewing derived results.

Study of pediatric appendicitis scores and management strategies: A prospective observational feasibility study

OBJECTIVE

The objective was to investigate the feasibility of prospectively validating multiple clinical prediction scores (CPSs) for pediatric appendicitis in an Australian pediatric emergency department (ED).

METHODS

A literature search was conducted to identify potential CPSs and a single-center prospective observational feasibility study was performed between November 2022 and May 2023 to evaluate the performance of identified CPSs. Children 5-15 years presenting with acute right-sided or generalized abdominal pain and clinician suspicion of appendicitis were included. CPSs were calculated by the study team from prospectively clinician-collected data and/or review of medical records. Accuracy of CPSs were assessed by area under the receiver operating characteristic curve (AUC) and proportions correctly identifiable as either low-risk or high-risk with the best performing CPS compared to clinician gestalt. Final diagnosis of appendicitis was confirmed on histopathology or by telephone/email follow-up for those discharged directly from ED.

RESULTS

Thirty CPSs were identified in the literature search and 481 patients were enrolled in the study. A total of 150 (31.2%) patients underwent appendectomy with three (2.0%) having a normal appendix on histopathology. All identified CPSs were calculable for at least 50% of the patient cohort. The pediatric Appendicitis Risk Calculator for pediatric EDs (pARC-ED; n = 317) was the best performing CPS with AUC 0.90 (95% confidence interval [CI] 0.86-0.94) and specificity 99.0% (95% CI 96.4%-99.7%) in diagnosing high-risk cases and a misclassification rate of 4.5% for low-risk cases.

CONCLUSIONS

The study identified 30 CPSs that could be validated in a majority of patients to compare their ability to assess risk of pediatric appendicitis. The pARC-ED had the highest predictive accuracy and can potentially assist in risk stratification of children with suspected appendicitis in pediatric EDs. A multicenter study is now under way to evaluate the potential of these CPSs in a broader range of EDs to aid clinical decision making in more varied settings.

Diagnostic Accuracy of the Modified Alvarado Score and Serum C-reactive Protein in Acute Appendicitis

Background The Alvarado score is a diagnostic tool to stratify patients on the likelihood of acute appendicitis based on signs, symptoms, and laboratory values. The validity of this score as compared to other diagnostic measures for acute appendicitis is questionable. The current study addresses the use of a modified Alvarado score (MAS) in conjunction with the widely used acute phase reactant biomarker serum C-reactive protein (CRP) for diagnostic accuracy. Objective To determine the diagnostic accuracy in terms of specificity, sensitivity, negative predictive value (NPV), and positive predictive value (PPV) of the combined MAS/CRP keeping histopathological diagnosis of acute appendicitis as a gold standard. Methods This is a cross-sectional validation study carried out in the Department of Surgery, Pakistan Institute of Medical Sciences, Islamabad. A total of 230 patients undergoing appendicectomy for appendicitis were included in the study through non-probability consecutive sampling, with positive histology undetermined. Prior to surgery, the preoperative Alvarado score was calculated and CRP was determined. The appendix removed at surgery was subjected to histopathological examination and on the basis of its report patients were postoperatively diagnosed either as positive or negative for acute appendicitis. Results The mean age of the patients was 22.66±7.48 years. There were 137 (59.6%) males and 93 (40.4%) females. One hundred eighty-three (79.6%) patients had a positive CRP and 47 (20.4%) had a negative CRP. Alvarado scores were calculated and there were 28 (12.1%) patients with a score of ≤ 6, and 202 with a score of 7-9. The appendix removed at surgery was subjected to histopathological examination. One hundred ninety-five (84.7%) patients were positive for acute appendicitis on histopathology and 35 (15.2%) had normal appendix on histopathology. Among the 195 patients with acute appendicitis 178 (91.3%) had positive CRP/MAS and 17 (87.17%) had negative CRP/MAS. Among the 182 patients with positive CRP/MAS; 178 (97.8%) had acute appendicitis and 4 (2.2%) had normal appendix. Among the 48 patients with negative CRP/MAS; 17 (35.4%) had acute appendicitis and 31 (64.3%) had normal appendix. The calculated sensitivity, specificity, PPV, and NPV were 91.2%, 88.5%. 91.8%, and 64.5%, respectively. Conclusion MAS used in combination with CRP is a highly sensitive tool for use in the diagnosis of acute appendicitis and is especially useful in resource-limited healthcare settings and for assistance in decision-making for doctors with less clinical experience.

Diagnostic Value of Systemic Immune Inflammation Index in Identifying Complicated Acute Appendicitis Cases

PURPOSE

Systemic immune inflammation index (SII) has been used to evaluate the prognosis of various diseases in recent years. This study aimed to investigate the efficacy of SII in the preoperative diagnosis of complicated acute appendicitis (CAA).

MATERIALS AND METHOD

 The data of patients who underwent surgery for acute appendicitis (AA) between January 2021 and December 2023 at our clinic were retrospectively analyzed. These patients had undergone surgical operations for AA and had available pathology results. Cases with histopathologic findings of gangrenous appendicitis, phlegmonous appendicitis, perforated appendicitis, and periappendicular abscesses were considered CAA. Cases without these manifestations and reported as appendicitis upon histopathological analysis were considered as noncomplicated acute appendicitis(NCAA). Data recorded and evaluated for the study included age, sex, preoperative C-reactive protein (CRP) levels, white blood cell (WBC) count, neutrophil count, lymphocyte count, platelet count, neutrophil-to-lymphocyte ratio (NLR), Alvarado score (AS), SII, and histopathologic examination results.

RESULTS

 A total of 441 patients were included in the study. The mean age of the patients was 34.58 ± 11.70 years. There were 200 women (45.35%) and 241 men (54.65%). The number of noncomplicated and complicated cases was 332 (75.28%) and 109 (24.72%), respectively. SII, AS, NLR, and CRP values were significantly higher in the complicated group (p < 0.001, p < 0.001, p < 0.001, p = 0.001, respectively). The sensitivity and specificity of SII in detecting CAAs were 0.624 and 0.607, respectively, with a cutoff value of 1445.

CONCLUSION

 The sensitivity of SII in detecting CAA was 0.624, with specificity and cutoff values of 0.607 and 1445, respectively. SII can be used as an effective parameter for preoperatively predicting whether an AA case is complicated or not.

Inflammatory Signals Across the Spectrum: A Detailed Exploration of Acute Appendicitis Stages According to EAES 2015 Guidelines

Background: In this retrospective study, we evaluate the diagnostic utility of C-reactive protein (CRP) and leucocyte count within the EAES 2015 guidelines for acute appendicitis (AA) in differentiating uncomplicated (UAA) from complicated AA (CAA). Methods: Conducted at a tertiary care center in Germany, the study included 285 patients over 18 years who were diagnosed with AA from January 2019 to December 2021. Patient data included demographics, inflammatory markers, and postoperative outcomes. Results: CRP levels (Md: 60.2 mg/dL vs. 10.5 mg/dL; p < 0.001) and leucocyte count (Md: 14.4 Gpt/L vs. 13.1 Gpt/L; p = 0.016) were higher in CAA. CRP had a medium diagnostic value for detecting CAA (AUC = 0.79), with a cutoff at 44.3 mg/L, making it more likely to develop CAA. Leucocyte count showed low predictive value for CAA (AUC = 0.59). CRP ≥ 44.3 mg/L was associated with a higher risk of postoperative complications (OR: 2.9; p = 0.002) and prolonged hospitalization (OR: 3.5; p < 0.001). Conclusions: CRP, within the context of the EAES classification, presents as a valuable diagnostic marker to distinguish CAA from UAA, with a higher risk of postoperative complications and hospitalization. Leucocyte count showed low diagnostic value for the identification of CAA.

Outcomes of Daytime and Night-Time Appendectomies: A Systematic Review and Meta-Analysis

BACKGROUND

Acute appendicitis is a common surgical emergency characterized by appendix inflammation. Surgery remains the gold standard for treatment with laparoscopy gaining in popularity. However, the optimal timing for appendectomy remains unclear. We are not aware of studies evaluating potential differences in clinical outcomes among appendectomies performed during the daytime and at night.

METHODS

We followed the PRISMA guidelines and searched the ScienceDirect, Medline, and Google Scholar databases for studies published in English before June 2023. We included prospective and retrospective studies reporting appendectomy outcomes. We categorized the appendectomy procedure times as daytime or night-time based on each study's definitions. We extracted baseline characteristics and outcomes and assessed the quality of the studies included using the Newcastle-Ottawa Scale. We calculated pooled risk ratios (RRs) and weighted mean differences (WMDs) using random-effects models; and, we assessed heterogeneity using the I2 statistic.

RESULTS

We analyzed data from 12 studies for systematic review ( n =19,183) including daytime ( n =11,839) and night-time ( n =7344) appendectomies. For the meta-analysis, we included 9 studies, that evaluated outcomes such as mortality (pooled RR, 0.44; 95% CI, 0.09-2.01; I2 =43.7%; P =0.11), hospital stay (WMD, -0.02; 95% CI, -0.24 to 0.20; I2 =93.3%; P <0.001), and complications (pooled RR, 0.96; 95% CI, 0.64-1.45; I2 =65.1%; P =0.02). We found similar mortality rates, hospital stay lengths, and complications for the appendectomies, regardless of the time of day of the operation. The baseline characteristics of the patients were also similar, except for the duration of symptoms and the presence of an appendiceal abscess.

CONCLUSION

Our results showed that the timing of an appendectomy (daytime vs. night-time) does not significantly affect its outcomes. Surgeon availability or fatigue, and patient severity may not significantly impact the operation results. Standardized protocols and perioperative care ensure consistent outcomes.

Determination of Risk Factors for Nausea and Vomiting in Children After Appendectomy

PURPOSE

This study aimed at investigating the risk factors for postoperative nausea and vomiting (PONV) in pediatric patients undergoing appendectomy.

DESIGN

This is a prospective, descriptive, cross-sectional study.

METHODS

The study involved 163 children aged 5 to 18 years who underwent appendectomy in the pediatric surgery clinic of a tertiary hospital between December 2022 and June 2023. The study data were collected through the patient information form, Baxter Retching Faces scale, and Wong-Baker Faces Pain Rating Scale, which included questions about the descriptive and clinical characteristics of the participants and was prepared by the researcher consistent with the literature.

FINDINGS

A significant relationship was observed between the severity of postoperative pain and the occurrence of PONV in patients with both nonperforated and perforated appendicitis (P < .001). In addition, operative time and the time to the first oral feeding were shorter in patients with nonperforated appendicitis in the non-PONV group (P = .005 and P = .042, respectively) Logistic regression analysis revealed that postoperative pain, family history of PONV and appendix perforation were risk factors for PONV in children with both nonperforated and perforated appendicitis (P < .001, P = .040, and P < .001, respectively).

CONCLUSIONS

In children undergoing appendectomy, family history of PONV, severity of postoperative pain, increased operative time, and increased transition time to oral feeding are risk factors for PONV. Pediatric nurses, who have an important role in the management of PONV, should evaluate patients in terms of PONV risk in the preoperative period within the scope of evidence-based practices and perform pharmacological or nonpharmacological interventions according to the degree of risk.

A comparison of the accuracy of Tzanakis and Alvarado Score in the diagnosis of acute appendicitis: A systematic review and meta-analysis

BACKGROUND AND OBJECTIVES

Acute appendicitis is one of the most commonly encountered surgical emergencies on a global level. Due to the requirement of an immediate clinical diagnosis and the presence of limited resources, clinicians and diagnosticians refer to scoring systems to diagnose this condition, among which Alvarado and Tzanakis scoring systems are widely used. This meta-analysis aims to compare the diagnostic accuracy of these two systems.

METHODS

We searched PubMed, Google Scholar, and SCOPUS databases. All studies that reported diagnostic parameters of Alvarado and Tzanakis scores in patients with suspected acute appendicitis were selected. Diagnostic values such as sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and diagnostic accuracy were extracted from the selected studies and statistical analysis was performed with Meta Disc 1.4 software. Quality assessment of the selected studies was performed using the QUADAS-2 and QUADAS-C tools. Fourteen studies were included in our meta-analysis which enrolled 2235 patients.

RESULTS

The overall sensitivity of the Tzanakis score was calculated as 0.86 (95% CI; 0.84-00.87) while the specificity was 0.73 (95% CI; 0.69-0.78). In addition, the area under the curve (AUC) was 0.9261 (SE; 0.0169) and the diagnostic Odds Ratio (OR) was 22.52 (95% CI; 9.47-53.56). The pooled sensitivity of Alvarado score was 0.67 (95% CI; 0.65-0.69) and the specificity was 0.74 (95% CI; 0.69-0.79). Moreover, the area under the curve (AUC) of the Alvarado score was 0.7389 (SE; 0.0489) and the diagnostic Odds Ratio was 4.92 (95% CI; 2.48-9.75).

INTERPRETATION AND CONCLUSION

The Tzanakis scoring system has a higher sensitivity, area under the curve, and diagnostic odds ratio when compared to the Alvarado score. However, the Alvarado score has a marginally better specificity making it more reliable in excluding acute appendicitis.

Efficacy of automated machine learning models and feature engineering for diagnosis of equivocal appendicitis using clinical and computed tomography findings

This study evaluates the diagnostic efficacy of automated machine learning (AutoGluon) with automated feature engineering and selection (autofeat), focusing on clinical manifestations, and a model integrating both clinical manifestations and CT findings in adult patients with ambiguous computed tomography (CT) results for acute appendicitis (AA). This evaluation was compared with conventional single machine learning models such as logistic regression(LR) and established scoring systems such as the Adult Appendicitis Score(AAS) to address the gap in diagnostic approaches for uncertain AA cases. In this retrospective analysis of 303 adult patients with indeterminate CT findings, the cohort was divided into appendicitis (n = 115) and non-appendicitis (n = 188) groups. AutoGluon and autofeat were used for AA prediction. The AutoGluon-clinical model relied solely on clinical data, whereas the AutoGluon-clinical-CT model included both clinical and CT data. The area under the receiver operating characteristic curve (AUROC) and other metrics for the test dataset, namely accuracy, sensitivity, specificity, PPV, NPV, and F1 score, were used to compare AutoGluon models with single machine learning models and the AAS. The single ML models in this study were LR, LASSO regression, ridge regression, support vector machine, decision tree, random forest, and extreme gradient boosting. Feature importance values were extracted using the "feature_importance" attribute from AutoGluon. The AutoGluon-clinical model demonstrated an AUROC of 0.785 (95% CI 0.691-0.890), and the ridge regression model with only clinical data revealed an AUROC of 0.755 (95% CI 0.649-0.861). The AutoGluon-clinical-CT model (AUROC 0.886 with 95% CI 0.820-0.951) performed better than the ridge model using clinical and CT data (AUROC 0.852 with 95% CI 0.774-0.930, p = 0.029). A new feature, exp(-(duration from pain to CT)3 + rebound tenderness), was identified (importance = 0.049, p = 0.001). AutoML (AutoGluon) and autoFE (autofeat) enhanced the diagnosis of uncertain AA cases, particularly when combining CT and clinical findings. This study suggests the potential of integrating AutoML and autoFE in clinical settings to improve diagnostic strategies and patient outcomes and make more efficient use of healthcare resources. Moreover, this research supports further exploration of machine learning in diagnostic processes.

Appendicitis in Children: Does Age Really Matter?

BACKGROUND

Acute appendicitis (AA) is a frequent and emergent surgical abdominal condition that presents some particularities and challenges in young children.

PATIENTS AND METHODS

Data of 402 children aged <16 years with a confirmed diagnosis of AA were retrospectively reviewed. Included patients were divided into two groups: Group A (preschool children aged ≤5 years, n = 44) and Group B (school children aged >5 years, n = 358). Clinical presentation, biological findings, calculated diagnosis scores (paediatric appendicitis score [PAS] and Alvarado score), intraoperative findings and outcomes were comparatively analysed between the two groups.

RESULTS

Children of Group A had more likely fever, bowel disorders, diffuse abdominal pain and diffuse tenderness than those of Group B (P = 0.001, P = 0.005, P = 0.006 and P = 0.001, respectively). Regarding biomarkers, the mean of white blood cell count and C-reactive protein levels was higher in Group A than in Group B (18,849 cell/mm3 and 162.8 mg/L in Group A versus 15,938 cell/mm3 and 86.7 mg/L in Group B, P = 0.003 and < 0.001, respectively). The mean of calculated PAS and Alvarado scores was higher in Group A than in Group B (8.2 ± 1.1 and 8.2 ± 1 vs. 7.5 ± 1.4 and 7.4 ± 1.5, P = 0.003 and P = 0.001, respectively). Most children with a calculated PAS and Alvarado score equal to or higher than 8 belonged to Group A (PAS: 84.1% vs. 58.4%, P = 0.001, Alvarado score: 84.1% vs. 55.6%, P < 0.001). The perforation of the appendix was seen in 77.3% of Group A patients and only in 41.5% of children in Group B (P < 0.0001). The mean length of stay was 5.1 ± 1.9 days in Group A and 4.3 ± 2.8 days in Group B but without any statistical difference between the two groups (P = 0.094).

CONCLUSION

AA in preschool children is associated with atypical presentation and rapid progression of the disease making the early diagnosis mostly challenging in our settings.

Appendicitis Diagnosis: Ensemble Machine Learning and Explainable Artificial Intelligence-Based Comprehensive Approach

Appendicitis is a condition wherein the appendix becomes inflamed, and it can be difficult to diagnose accurately. The type of appendicitis can also be hard to determine, leading to misdiagnosis and difficulty in managing the condition. To avoid complications and reduce mortality, early diagnosis and treatment are crucial. While Alvarado’s clinical scoring system is not sufficient, ultrasound and computed tomography (CT) imaging are effective but have downsides such as operator-dependency and radiation exposure. This study proposes the use of machine learning methods and a locally collected reliable dataset to enhance the identification of acute appendicitis while detecting the differences between complicated and non-complicated appendicitis. Machine learning can help reduce diagnostic errors and improve treatment decisions. This study conducted four different experiments using various ML algorithms, including K-nearest neighbors (KNN), DT, bagging, and stacking. The experimental results showed that the stacking model had the highest training accuracy, test set accuracy, precision, and F1 score, which were 97.51%, 92.63%, 95.29%, and 92.04%, respectively. Feature importance and explainable AI (XAI) identified neutrophils, WBC_Count, Total_LOS, P_O_LOS, and Symptoms_Days as the principal features that significantly affected the performance of the model. Based on the outcomes and feedback from medical health professionals, the scheme is promising in terms of its effectiveness in diagnosing of acute appendicitis.

Effect of in-hospital delay on acute appendicitis severity: does time really matter?

Appendicitis is one of the most common abdominal emergencies. Evidence is controversial in determining if the in-hospital time delay to surgery can worsen the clinical presentation of appendicitis. This study aimed to clarify if in-hospital surgical delay significantly affected the proportion of complicated appendicitis in a large prospective cohort of patients treated with appendectomy for acute appendicitis. Patients were grouped into low, medium, and high preoperative risk for acute appendicitis based on the Alvarado scoring system. Appendicitis was defined as complicated in cases of perforation, abscess, or diffuse peritonitis. The primary outcome was correlation of in-hospital delay with the proportion of complicated appendicitis. The study includes 804 patients: 278 (30.4%) had complicated appendicitis and median time delay to surgery in low-, medium-, and high-risk group was 23.15 h (13.51-31.48), 18.47 h (10.44-29.42), and 13.04 (8.13-24.10) h, respectively. In-hospital delay was not associated with the severity of appendicitis or with the presence of postoperative complications. It appears reasonably safe to delay appendicectomy for acute appendicitis up to 24 h from hospital admission. Duration of symptoms was a predictor of complicated appendicitis and morbidity. Timing for appendicectomy in acute appendicitis should be calculated from symptoms onset rather than hospital presentation.

Optimizing Advanced Imaging of the Pediatric Patient in the Emergency Department: Policy Statement

Advanced imaging, including ultrasonography, computed tomography, and magnetic resonance imaging (MRI), is an integral component to the evaluation and management of ill and injured children in the emergency department. As with any test or intervention, the benefits and potential impacts on management must be weighed against the risks to ensure that high-value care is being delivered. There are important considerations specific to the pediatric patient related to the ordering and interpretation of advanced imaging. This policy statement provides guidelines for institutions and those who care for children to optimize the use of advanced imaging in the emergency department setting and was coauthored by experts in pediatric and general emergency medicine, pediatric radiology, and pediatric surgery. The intent is to guide decision-making where children may access care.

A Comparison of the Alvarado Score and the Raja Isteri Pengiran Anak Saleha Appendicitis (RIPASA) Score in the Diagnosis of Acute Appendicitis: A Prospective Cohort Study

Background Diagnosing acute appendicitis remains a problem, especially in teenagers with right lower quadrant pain. Imaging studies aid in accurate diagnosis but have limitations such as cost and availability. The Modified Alvarado Scoring System (MASS) is simple and cost-effective with fewer parameters. The Raja Isteri Pengiran Anak Saleha Appendicitis scoring system (RIPASA), designed for Asian populations, includes more parameters. This study compares the effectiveness of RIPASA and Alvarado scores in diagnosing acute appendicitis in a specific clinical setting. Objectives To compare the scoring systems of RIPASA and Alvarado in the diagnosis of acute appendicitis at a tertiary care hospital. Methods Data has been collected from all patients who attended the NRI general hospital emergency department and outpatient wing with acute appendicitis, admitted as inpatients based on clinical history and relevant investigations. Patients satisfying inclusion and exclusion criteria were selected and the basic investigations were done. Summary statistics were done using mean, standard deviation and proportions. Inferential statistics were done by using an independent t-test, kappa statistic, sensitivity and specificity with a 95% confidence interval (CI). All the measurements are done using the statistical package for the social sciences (SPSS) software version 21.0 (IBM Corp., Armonk, NY, USA) and open epidemiological (OpenEpi) software 3.01. A probability (p) <0.05 is considered as statistically significant. Results A total of 110 patients were analyzed for this study with a majority (39%) of them in the 21-30 age group. In our study, females (53%) outnumbered males (47%). Ultrasound findings in our cohort were acute appendicitis (93%), chronic appendicitis (2%) and normal appendix (5%). However, histopathology reported acute appendicitis (75%), chronic appendicitis (9%) and negative/non-specific (15%). The probability of appendicitis as predicted by Alvarado and RIPASA were 40% and 51% respectively. Definitive diagnosis of appendicitis was made in 16.4% with RIPASA whereas only 5.5% with Alvarado. When comparing the Alvarado and RIPASA scores, the sensitivity or true positive rate was higher for RIPASA (73.63%) than for Alvarado (50.55%). Conclusion There was a significant difference between the mean scores in Alvarado and RIPASA inpatients with scores suggestive of appendicitis and no appendicitis. Diagnostic accuracy was higher in RIPASA scoring compared to ALVARDO scoring. There was a significant statistical difference between the two scoring systems. When it comes to diagnosing in low-resource countries the study recommends a combination of Alvarado and RIPASA scoring systems.

Clinical Characteristics of Avoidable Patient Transfers for Suspected Pediatric Appendicitis

INTRODUCTION

Pediatric surgical care is becoming increasingly regionalized, often resulting in limited access. Interfacility transfers pose a significant financial and emotional burden to when they are potentially avoidable. Of transferred patients, we sought to identify clinical factors associated with avoidable transfers in pediatric patients with suspected appendicitis.

METHODS

We performed a single-center retrospective study at an academic tertiary referral children's hospital in an urban setting. We included children who underwent interfacility transfer to our center with a transfer diagnosis of appendicitis from July 1, 2021 to June 30, 2023. Encounters were designated as either an appropriate transfer (underwent appendectomy) or an avoidable transfer (did not undergo appendectomy). Encounters treated nonoperatively for complicated appendicitis were excluded. Bivariate analysis was performed using Mann-Whitney test and chi-square tests.

RESULTS

A total of 444 patients were included: 71.2% were classified as appropriate transfers and 28.8% as avoidable transfers. Patients with avoidable transfer were younger compared to those in the appropriate transfer cohort (median age 9 y, interquartile range: 7-13 versus 11 y, interquartile range: 8-14; P < 0.001). Avoidable transfers less frequently presented with the typical symptoms of fever, migratory abdominal pain, anorexia, and nausea/emesis (P = 0.005). Avoidable transfers also reported shorter symptom duration (P = 0.040) with lower median white blood cell count (P < 0.001), neutrophil percentage (P < 0.001), and C-reactive protein levels (P < 0.003). Avoidable transfers more frequently underwent repeat imaging upon arrival (42.9% versus 12.7%, P < 0.001).

CONCLUSIONS

These findings highlight the importance of clinical history in children with suspected appendicitis. Younger patients without typical symptoms of appendicitis, those with a shorter duration of symptoms, and lower serum inflammatory markers may benefit from close observation without transfer.

Assessment of Alvarado criteria, ultrasound, CRP, and their combination in patients with suspected acute appendicitis: a single centre study

BACKGROUND

Acute appendicitis (AA) is one of the most common reasons for visiting the emergency room. The lack of proper diagnosis and rapid treatment of AA may lead to severe complications such as intestinal perforation and increased mortality. This study aimed to evaluate the diagnostic accuracy of the Alvarado criteria, ultrasound, and CRP criteria in comparison with their combined use in patients with suspected AA who presented to the emergency room.

METHODS

In this diagnostic accuracy study, 1411 patients with suspected AA who presented to the emergency department of Firoozabadi Hospital affiliated with Iran University of Medical Sciences and underwent appendectomy from October 2019 to October 2021 were examined. Nine hundred eighty-eight patients were enrolled. All patients were assessed using Alvarado, CRP, and ultrasound. The definitive diagnosis of AA was based on pathological findings and was considered the gold standard. Statistical analyses were performed with STATA VER 11.5. The diagnostic accuracy for each group was compared using the Pearson chi-square test. A value of p < 0.05 was considered statistically significant.

RESULTS

The mean age was 29.57 ± 13.66 years. The sensitivity and specificity of Alvarado in the diagnostic accuracy of appendicectomy were 75.2% and 61.3% (CI = 95%), respectively. The sensitivity of ultrasound and CRP for predicting appendicitis was significantly higher than the Alvarado criteria. The diagnostic accuracy for CRP was significantly higher than ultrasound (64.9% vs. 60.7%, P: 0.003). The diagnostic accuracy of the simultaneous use of Alvarado + CRP and CRP + Ultrasound was significantly higher than that of Alvarado + ultrasound. The sensitivity, specificity, and diagnostic accuracy of the simultaneous use of all three criteria together (Alvarado + Ultrasound + CRP) were estimated to be 94.9%, 25.8%, and 81.5% (CI = 95%), respectively, which were significantly higher than the use of other criteria.

CONCLUSION

This study showed that the Alvarado criteria had inadequate diagnostic sensitivity and accuracy for diagnosing acute appendicitis. The diagnostic accuracy of acute appendicitis increases to over 90% using the three Alvarado, ultrasound, and CRP criteria at the same time.

Validation of the Raja Isteri Pengiran Anak Saleha Appendicitis (RIPASA) scoring system for the diagnosis of acute appendicitis among Ethiopian patients: a multi-institutional observational study

BACKGROUND

Acute appendicitis is the most common surgical emergency in Ethiopian clinical practice. Although a multitude of scoring systems have been used in clinical practice, none have been universally validated. The purpose of this study was to validate the Raja Isteri Pengiran Anak Saleha Appendicitis (RIPASA) scoring system in the Ethiopian context.

METHODS

A total of 315 consecutive patients who presented with a presumptive diagnosis of acute appendicitis and were planned to undergo appendectomy were studied. All the studied patients had diagnostic sonography and underwent the RIPASA scoring system. The sensitivity, specificity, positive predictive value, and negative predictive value of RIPASA and ultrasound results with intraoperative gross examinations.

RESULTS

The mean age of the participants was 27.4 ± 11.5 years, with a male-to-female ratio of 1.6:1. The concordance between ultrasound and RIPASA for the diagnosis of acute appendicitis was 93.6%. The sensitivity, specificity, positive predictive value, and negative predictive value of RIPASA were 96.2%, 30.8%, 93.9%, and 42.1%, respectively. Similarly, the sensitivity, specificity, positive predictive value, and negative predictive value of ultrasound were 95.3%, 27.8%, 95.6%, and 26.3%, respectively. White cell count and RIPASA scores were weakly correlated with intraoperative stages of acute appendicitis, r(313) = 0.18, p = 0.001, and r(313) = 0.129, p = 0.022, respectively. The rate of a negative appendectomy was 6%.

CONCLUSION

RIPASA and ultrasound had equivalent performance in the diagnosis of acute appendicitis. In both cases, the rate of negative appendectomy was low enough to validate RIPASA for clinical practice in low-income institutions where sonographic diagnosis by a conventionally trained radiologist is not available.

How can the surgeon choose preoperatively the most appropriate antibiotic prophylaxis vs therapy in pediatric acute appendicitis?

INTRODUCTION

The aim of this study was to find statistically valid criteria to preoperatively divide acute appendicitis into simple and complicated to enable surgeons to administer the most appropriate antibiotic prophylaxis/therapy before surgery.

MATERIALS AND METHODS

We retrospectively reviewed a cohort of patients who underwent appendectomy from January 2022 to December 2023. Patients included were 0-14 years of age. Exclusion criteria included patients who underwent interval appendectomy or concurrent procedures at the same time of appendectomy. We divided patients into two groups: simple (group S) and complicated (group C) appendicitis according to intraoperative finding. Generalized linear model (GLM) with logit function was developed to identify the predictive variables of the type of appendicitis (S vs C) in terms of CRP value, neutrophils percentage and WBC count adjusted for age and sex of patients. Finally, principal component analysis (PCA) was carried out to identify the cutoff value of statistically significant variables found in the previous analysis.

RESULTS

One hundred and twenty patients were eligible (N female = 49, N male = 71) for the study. 74 and 46 patients were included in groups S and C, respectively. In a preliminary analysis using univariate and multivariate GLM, only CRP (p value =  < 0.001) and neutrophils percentage (p value = 0.02) were predictive variables for the type of appendicitis. The GLM shows a statistical lower value of CRP (adjusted odds ratio [OR] per unit, 0.17 [95% CI, 0.08-0.39]) and neutrophil percentage (adjusted OR per unit, 0.37 [95% CI, 0.16-0.86]) in the S group compared to C adjusted to age and sex. PCA analysis revealed a P-ROC cutoff of 4.2 mg/dl and 80.1 of CRP value (AUC = 84%) and neutrophil percentage (AUC = 70%), respectively.

CONCLUSIONS

We will perform a prospective study giving preoperative prophylactic cefazolin to patients with a CRP value under 4.2 mg/dl and amoxicillin-clavulanate therapy to patient with CRP value over 4.2 mg/dl.

Optimizing Advanced Imaging of the Pediatric Patient in the Emergency Department: Policy Statement

Advanced imaging, including ultrasonography, computed tomography, and magnetic resonance imaging (MRI), is an integral component to the evaluation and management of ill and injured children in the emergency department. As with any test or intervention, the benefits and potential impacts on management must be weighed against the risks to ensure that high-value care is being delivered. There are important considerations specific to the pediatric patient related to the ordering and interpretation of advanced imaging. This policy statement provides guidelines for institutions and those who care for children to optimize the use of advanced imaging in the emergency department setting and was coauthored by experts in pediatric and general emergency medicine, pediatric radiology, and pediatric surgery. The intent is to guide decision-making where children may access care.

Optimizing Advanced Imaging of the Pediatric Patient in the Emergency Department: Policy Statement

Advanced imaging, including ultrasonography, computed tomography, and magnetic resonance imaging, is an integral component to the evaluation and management of ill and injured children in the emergency department. As with any test or intervention, the benefits and potential impacts on management must be weighed against the risks to ensure that high-value care is being delivered. There are important considerations specific to the pediatric patient related to the ordering and interpretation of advanced imaging. This policy statement provides guidelines for institutions and those who care for children to optimize the use of advanced imaging in the emergency department setting and was coauthored by experts in pediatric and general emergency medicine, pediatric radiology, and pediatric surgery. The intent is to guide decision-making where children may access care.

Optimizing Advanced Imaging of the Pediatric Patient in the Emergency Department: Technical Report

Advanced diagnostic imaging modalities, including ultrasonography, computed tomography, and magnetic resonance imaging, are key components in the evaluation and management of pediatric patients presenting to the emergency department. Advances in imaging technology have led to the availability of faster and more accurate tools to improve patient care. Notwithstanding these advances, it is important for physicians, physician assistants, and nurse practitioners to understand the risks and limitations associated with advanced imaging in children and to limit imaging studies that are considered low value, when possible. This technical report provides a summary of imaging strategies for specific conditions where advanced imaging is commonly considered in the emergency department. As an accompaniment to the policy statement, this document provides resources and strategies to optimize advanced imaging, including clinical decision support mechanisms, teleradiology, shared decision-making, and rationale for deferred imaging for patients who will be transferred for definitive care.

Optimizing Advanced Imaging of the Pediatric Patient in the Emergency Department: Technical Report

Advanced diagnostic imaging modalities, including ultrasonography, computed tomography, and magnetic resonance imaging (MRI), are key components in the evaluation and management of pediatric patients presenting to the emergency department. Advances in imaging technology have led to the availability of faster and more accurate tools to improve patient care. Notwithstanding these advances, it is important for physicians, physician assistants, and nurse practitioners to understand the risks and limitations associated with advanced imaging in children and to limit imaging studies that are considered low value, when possible. This technical report provides a summary of imaging strategies for specific conditions where advanced imaging is commonly considered in the emergency department. As an accompaniment to the policy statement, this document provides resources and strategies to optimize advanced imaging, including clinical decision support mechanisms, teleradiology, shared decision-making, and rationale for deferred imaging for patients who will be transferred for definitive care.

Predicting severity of acute appendicitis with machine learning methods: a simple and promising approach for clinicians

BACKGROUNDS

Acute Appendicitis (AA) is one of the most common surgical emergencies worldwide. This study aims to investigate the predictive performances of 6 different Machine Learning (ML) algorithms for simple and complicated AA.

METHODS

Data regarding operated AA patients between 2012 and 2022 were analyzed retrospectively. Based on operative findings, patients were evaluated under two groups: perforated AA and none-perforated AA. The features that showed statistical significance (p < 0.05) in both univariate and multivariate analysis were included in the prediction models as input features. Five different error metrics and the area under the receiver operating characteristic curve (AUC) were used for model comparison.

RESULTS

A total number of 1132 patients were included in the study. Patients were divided into training (932 samples), testing (100 samples), and validation (100 samples) sets. Age, gender, neutrophil count, lymphocyte count, Neutrophil to Lymphocyte ratio, total bilirubin, C-Reactive Protein (CRP), Appendix Diameter, and PeriAppendicular Liquid Collection (PALC) were significantly different between the two groups. In the multivariate analysis, age, CRP, and PALC continued to show a significant difference in the perforated AA group. According to univariate and multivariate analysis, two data sets were used in the prediction model. K-Nearest Neighbors and Logistic Regression algorithms achieved the best prediction performance in the validation group with an accuracy of 96%.

CONCLUSION

The results showed that using only three input features (age, CRP, and PALC), the severity of AA can be predicted with high accuracy. The developed prediction model can be useful in clinical practice.

Current use of artificial intelligence in the diagnosis and management of acute appendicitis

INTRODUCTION

Acute appendicitis is a common and time-sensitive surgical emergency, requiring rapid and accurate diagnosis and management to prevent complications. Artificial intelligence (AI) has emerged as a transformative tool in healthcare, offering significant potential to improve the diagnosis and management of acute appendicitis. This review provides an overview of the evolving role of AI in the diagnosis and management of acute appendicitis, highlighting its benefits, challenges, and future perspectives.

EVIDENCE ACQUISITION

We performed a literature search on articles published from 2018 to September 2023. We included only original articles.

EVIDENCE SYNTHESIS

Overall, 121 studies were examined. We included 32 studies: 23 studies addressed the diagnosis, five the differentiation between complicated and uncomplicated appendicitis, and 4 studies the management of acute appendicitis.

CONCLUSIONS

AI is poised to revolutionize the diagnosis and management of acute appendicitis by improving accuracy, speed and consistency. It could potentially reduce healthcare costs. As AI technologies continue to evolve, further research and collaboration are needed to fully realize their potential in the diagnosis and management of acute appendicitis.

Diagnostic Efficacy Study Comparing Tzanakis Scoring System With Alvarado Scoring System in Effective Diagnosis of Acute Appendicitis

Objective Among the common causes of abdominal emergencies, acute appendicitis ranks at the top, particularly in the young population. While negative appendectomy is not uncommon, the risk of appendicular perforation is substantial if the diagnosis is missed or delayed. This study evaluated the diagnostic efficacy of the Tzanakis scoring system for acute appendicitis, comparing it with the Alvarado scoring system, considering the histopathological finding as the gold standard. Materials and methods This prospective observational study, conducted in the General Surgery department in a tertiary care hospital in India, included clinically diagnosed acute appendicitis cases posted for open or laparoscopic appendicectomy. Results The mean age for the 60 participants included in the study was 30.97±13.44, and the median was 24.5 yrs. The sensitivity of ultrasonography (USG) in diagnosing histopathological positive acute appendicitis was 89%, and the specificity was 50%. The sensitivity, specificity, positive, and negative predictive values of the Tzanakis score were 87%, 50%, 96%, and 22%, respectively, and those of the Alvarado score were 54%, 75%, 96%, and 10%, respectively. Conclusion The receiver operator characteristic (ROC) curve for the Alvarado and Tzanakis scores showed that the area under the curve (AUC) was greater for the Tzanakis scoring system (0.670) than for the Alvarado scoring system (0.598). Differences between the AUCs were not statistically significant. Although the Tzanakis scoring system is more sensitive than the Alvarado scoring system in diagnosing acute appendicitis, studies with larger samples are needed to show the superiority of this scoring system over the Alvarado scoring system.

Gene Expression Profiling in Pediatric Appendicitis

Importance

Appendicitis is the most common indication for urgent surgery in the pediatric population, presenting across a range of severity and with variable complications. Differentiating simple appendicitis (SA) and perforated appendicitis (PA) on presentation may help direct further diagnostic workup and appropriate therapy selection, including antibiotic choice and timing of surgery.

Objective

To provide a mechanistic understanding of the differences in disease severity of appendicitis with the objective of developing improved diagnostics and treatments, specifically for the pediatric population.

Design, Setting, and Participants

The Gene Expression Profiling of Pediatric Appendicitis (GEPPA) study was a single-center prospective exploratory diagnostic study with transcriptomic profiling of peripheral blood collected from a cohort of children aged 5 to 17 years with abdominal pain and suspected appendicitis between November 2016 and April 2017 at the Alberta Children's Hospital in Calgary, Alberta, Canada, with data analysis reported in August 2023. There was no patient follow-up in this study.

Exposure

SA, PA, or nonappendicitis abdominal pain.

Main Outcomes and Measures

Blood transcriptomics was used to develop a hypothesis of underlying mechanistic differences between SA and PA to build mechanistic hypotheses and blood-based diagnostics.

Results

Seventy-one children (mean [SD] age, 11.8 [3.0] years; 48 [67.6%] male) presenting to the emergency department with abdominal pain and suspected appendicitis were investigated using whole-blood transcriptomics. A central role for immune system pathways was revealed in PA, including a dampening of major innate interferon responses. Gene expression changes in patients with PA were consistent with downregulation of immune response and inflammation pathways and shared similarities with gene expression signatures derived from patients with sepsis, including the most severe sepsis endotypes. Despite the challenges in identifying early biomarkers of severe appendicitis, a 4-gene signature that was predictive of PA compared to SA, with an accuracy of 85.7% (95% CI, 72.8-94.1) was identified.

Conclusions

This study found that PA was complicated by a dysregulated immune response. This finding should inform improved diagnostics of severity, early management strategies, and prevention of further postsurgical complications.