Platelet indices in patients with acute appendicitis: a systematic review with meta-analysis

Inflammation, Sepsis, and the Coagulation System

Sepsis has been a major health problem for centuries and it is still the leading cause of hospital deaths. Several studies in the past decades have identified numerous biochemical abnormalities in severe cases, and many of these studies provide evidence of the perturbation of the hemostatic system. This can result in complications, such as disseminated intravascular coagulation that can lead to multiorgan failure. Nevertheless, large clinical studies have demonstrated that the simple approach of inhibiting the coagulation processes by any means fails to provide significant improvement in the survival of septic patients. A cause of this failure could be the fact that in sepsis the major clinical problems result not primarily from the presence of the infective agent or enhanced coagulation but from the complex dysregulated systemic host response to pathogens. If this overt reaction is not fully deciphered, appropriate interference is highly unlikely and any improvement by conventional therapeutic interventions would be limited. Cellular activation in sepsis can be targeted by novel approaches like inhibition of the heterotypic cellular interactions of blood cells by targeting surface receptors or posttranscriptional control of the hemostatic system by noncoding ribonucleic acid (RNA) molecules. Stable RNA molecules can affect the expression of several proteins. Thus, it can be anticipated that modulation of microRNA production would result in a multitude of effects that may be beneficial in septic cases. Here, we highlight some of the recent diagnostic possibilities and potential novel routes of the dysregulated host response.

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.

The role of blood inflammatory markers in the preoperative diagnosis of acute appendicitis

INTRODUCTION

Acute appendicitis (AA) requires a prompt diagnosis. According to postoperative pathological results, a significant number of appendectomies are performed on a normal appendix (NA). The aim of this study is to evaluate the role of preoperative inflammatory markers in supporting and improving the clinical diagnosis of AA, extracting more information from CBC parameters.

METHODS

The study is a retrospective one. The histopathological results of operated appendix from 102 patients, who underwent appendectomy for clinically suspected AA, were extracted from the Galilee Medical Center systems. Two patient groups (NA and true AA) were compared for neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), monocyte to lymphocyte ratio (MLR) and mean platelet volume (MPV). The obtained data were statistically analyzed, using the independent sample t test and Mann-Whitney test. Category data have been compared among groups with the chi-squared test. The primary endpoint of our research was to assess the predictive power of blood biomarkers.

RESULTS

Patients with suspected AA, based on clinical picture and contrast enhanced computed tomography (CECT), and with MLR-value ≥0.3357 were 5.25 times more likely than normal to have AA. Patients with NLR-value ≥3.2223 were 7 times more likely than normal to have AA. The differences in PLR and MPV values were not statistically significant.

CONCLUSIONS

The NLR and MLR biomarkers can assist in diagnosis of AA. This can be particularly helpful in cases where CECT is contraindicated, as in pregnant women or children.

Platelet‑related parameters as potential biomarkers for the prognosis of sepsis

Early diagnosis and accurate prognosis are key for reducing the fatality rate and medical expenses associated with sepsis. Platelets are involved in the delayed tissue injury that occurs during sepsis. Therefore, the aim of the present study was to investigate the usefulness of platelets and associated parameters as prognostic markers of sepsis. The present study collected patient samples based on The Third International Consensus Definitions for Sepsis and Septic Shock criteria. Platelet-associated parameters were detected by flow cytometry and their correlation with clinical scores and prognoses was analyzed. Considering the association between endothelial cells and platelet activation, levels of plasma tumor necrosis factor-like weak inducer of apoptosis (TWEAK) and angiopoietin-2 (Ang-2) were analyzed by ELISA. The results showed significant differences in platelet P-selectin expression and phosphatidylserine exposure, mitochondrial membrane potential (Mmp)-Index values and plasma levels of TWEAK and Ang-2 between patients and healthy controls (P<0.05). Except for P-selectin and TWEAK levels, all parameters were correlated with clinical scores (acute physiology and chronic health evaluation II and sequential/sepsis-related organ failure assessment). Additionally, platelet Mmp-Index between admission and the end of therapy was only different in non-survivors (P<0.001) and platelet phosphatidylserine exposure was significantly lower in survivors (P=0.006). Therefore, of the parameters tested, the dynamic monitoring of phosphatidylserine exposure, platelet Mmp-Index values and plasma Ang-2 levels had the most potential for the assessment of disease severity and clinical outcomes.

Mean Platelet Volume in the Diagnosis of Acute Appendicitis in the Pediatric Population: A Systematic Review and Meta-Analysis

Background: Mean Platelet Volume (MPV) has been suggested as a biomarker for acute appendicitis (AA) in the adult population. The utility of MPV in pediatric AA remains vague. This systematic review and meta-analysis aimed to systematically summarize and compare all relevant data on MPV as a diagnostic biomarker for AA in children. Methods: Databases were systematically searched using keywords ((mean platelet volume) OR mpv) AND (appendicitis). The inclusion criteria were all comparative studies of MPV in children aged less than 18 years and diagnosed with AA. Two authors independently assessed the methodological quality using the Downs and Black scale. Results: We included fourteen studies in the final meta-analysis; most were retrospective. Eight studies compared the MPV values between AA and non-AA; four studies compared the same between AA and healthy controls; two studies compared the MPV values among all three groups. The estimated heterogeneity among the studies for all outcomes was high and statistically significant. The pooling the data showed no statistically significant difference in MPV (weighted mean difference (WMD) = −0.42, 95% CI = (−1.04, 0.20), p = 0.19) between AA and healthy controls or AA and non-AA cases (WMD = 0.01, 95% CI = (−0.15, 0.17), p = 0.90). Conclusion: While MPV levels seem to have some utility in adult AA diagnosis, MPV levels should not dictate treatment options in pediatric AA.

Blood routine examination: a simple way for differential diagnosis of immunoglobulin A vasculitis with abdominal involvement and appendicitis in children

To explore the value of blood routine examination indexes in the differential diagnosis of immunoglobulin A vasculitis (IgAV) with abdominal involvement and appendicitis in children. Forty-seven patients with IgAV and abdominal involvement, 95 cases with appendicitis, and 48 healthy children were enrolled in this study. Demographic and laboratory data were retrospectively recorded from medical files. The levels of serum percentage of lymphocytes (LYM%), percentage of eosinophils (E%), red cell volume distribution width (RDW) and platelet (PLT) count were higher, while blood cells (WBC) count, percentage of neutrophils (N%), percentage of monocytes (M%), mean platelet volume (MPV), platelet distribution width and C-reactive protein were lower in the group of IgAV with abdominal involvement compared to appendicitis group (P < 0.05). Multivariate logistic regression analysis showed LYM% (odds ratio (OR) = 1.34, P = 0.001) and RDW (OR = 2.96, P = 0.045) were independent risk factors for IgAV with abdominal involvement. N% (OR = 1.270, P = 0.006) and MPV (OR = 51.15, P = 0.042) were independently associated with appendicitis. Using receiver operating characteristic analysis, the optimal cut-off values (sensitivity and specificity) respectively were 42.17% (95.7%, 100.0%) for LYM%, 12.65% (83.0%, 83.2%) for RDW, 61.5% (91.6%, 97.9%) for NE% and 10.1fL (78.9%, 75.4%) for MPV, with the AUC values of 0.989, 0.881, 0.985, 0.810, respectively. Blood routine examination indices, especially the N%, LYM%, RDW, and MPV, can be used for simple differential diagnosis of IgAV with abdominal involvement and appendicitis.

Role of platelet indices as a biomarker for the diagnosis of acute appendicitis and as a predictor of complicated appendicitis: A meta-analysis

INTRODUCTION

Acute appendicitis is one of the most common surgical emergencies worldwide. Clinical scoring system systems have been developed to diagnose acute appendicitis, but insufficient to predict the complication. The amount of serum biomarkers elevates in response to acute inflammation, which could be beneficial for diagnostic tools. Accordingly, a meta-analysis was conducted to evaluate the efficacy of platelet indices, including mean platelet volume (MVP) and platelet distribution width (PDW) as potential biomarkers for the diagnosis of a diagnosis of acute appendicitis.

MATERIAL AND METHODS

The dataset was defined by searching for articles published until December 2020 from PubMed, EMBASE, Google Scholar and the Cochrane database. The meta-analysis was performed using Review Manager Software version 5.4.1.

RESULTS

The final analysis was made from 9 studies, including 3124 patients. The results demonstrated that lower MPV values was significantly associated with acute appendicitis (odds ratio (OR) = 0.81, 95% confidence interval (CI) = -1.51 to -0.11, P = 0.02), but not associated with complicated appendicitis by comparing it with the control (OR = -0.13,95% CI = -0.33 to -0.07, P = 0.19) and non-complicated appendicitis groups (OR = -0.13,95% CI = -0.30 to -0.04, P = 0.14). The present study failed to demonstrate the diagnostic value of PDW for the prediction of appendicitis and its complication.

CONCLUSION

The results of the meta-analysis strongly indicate that a lower MVP values could function as a marker for predicting the acute appendicitis.