Comparison of QSOFA and sirs scores for the prediction of adverse outcomes of secondary peritonitis among patients admitted on the adult surgical ward in a tertiary teaching hospital in Uganda: a prospective cohort study

Embracing a New Evidence-Based Thought Paradigm of Sepsis

ABSTRACT

In 1991, sepsis was first defined by the Society of Critical Care Medicine as the systemic inflammatory response syndrome, in the presence of infection. Systemic inflammatory response syndrome is an adaptive host response to infection, as well as to other insults like trauma and stress. Research pertaining to sepsis was guided by this adaptive definition for 25 years. After established guidelines for sepsis management were challenged in 2014, sepsis was redefined in 2016 as a dysregulated host response to infection. However, there still remains no consensus on which immunologic or metabolic mechanisms have become dysregulated. We sought to examine sepsis literature published after the 2016 consensus definition and compare it to the original systemic inflammatory response syndrome paradigm proposed in 1991. The purpose of this intensive analysis was to recommend a new sepsis archetype, with consideration to dysregulated immunologic and metabolic mechanisms that have recently been identified in sepsis. Nurses and other clinicians must shift their thought paradigm toward an evidence-based dysregulated model, in order to improve on sepsis recognition and management.

Systemic Inflammation after Aneurysmal Subarachnoid Hemorrhage

Aneurysmal subarachnoid hemorrhage (aSAH) is one of the most severe neurological disorders, with a high mortality rate and severe disabling functional sequelae. Systemic inflammation following hemorrhagic stroke may play an important role in mediating intracranial and extracranial tissue damage. Previous studies showed that various systemic inflammatory biomarkers might be useful in predicting clinical outcomes. Anti-inflammatory treatment might be a promising therapeutic approach for improving the prognosis of patients with aSAH. This review summarizes the complicated interactions between the nervous system and the immune system.

Clinical Profile of Patients Presenting With Sepsis to the Emergency Department of a Tertiary Care Hospital in Wardha During the COVID Pandemic (June 2020-June 2021)

Background

Sepsis is defined as life-threatening organ dysfunction due to a dysregulated host response to infection. Septic shock, multi-organ dysfunction, and death occur in severe cases with reduced blood flow to vital organs. Sepsis contributes to 15-20% of all global deaths. Through this study, we intend to evaluate the clinical profile and study the common blood investigatory panels along with organisms causing sepsis in patients presenting with sepsis in the emergency department during the COVID pandemic. In addition, the study was also done to estimate the prevalence of sepsis and compare patients having sepsis with serum lactate, sepsis with Systemic Inflammatory Response Syndrome (SIRS) criteria, and sepsis with quick Sepsis Related Organ Failure Assessment (qSOFA) score.

Method

Observational retrospective study to evaluate patients presenting with sepsis diagnosed by the Third International Consensus Definitions for Sepsis and Septic Shock” criteria presenting to the emergency department of Acharya Vinoba Bhave Rural Hospital (AVBRH) affiliated to Jawaharlal Nehru Medical College (JNMC), Wardha during COVID pandemic (June 2020-June 2021).

Results

The majority of the patients presented with fever (42%), and very few presented with altered mental status (8%). Seventy-four percent of the study population did not show any bacterial growth on blood culture, but out of the remaining 26%, blood culture, Staphylococcus aureus, Pseudomonas aeruginosa, and Klebsiella pnemoniae were the significant microbes. Amongst qSOFA, SIRS criteria, and serum lactate as a screening tool for sepsis, SIRS is the most sensitive for screening sepsis patients.

Conclusion

Staphylococcus aureus, Pseudomonas aerugenosa, and Klebsiella pneumoniae were the major contributors in the development of sepsis in COVID-19-associated infection. The presence of raised leukocyte counts and serum lactate should alarm clinicians of possible sources of infection. The timely initiation, rapid de-escalation of empirical antibiotics, and strict compliance with infection control practices should be accomplished to reduce the occurrence of multidrug resistance organisms.

Comparison of the PIPAS severity score tool and the QSOFA criteria for predicting in-hospital mortality of peritonitis in a tertiary hospital in Uganda: a prospective cohort study

BACKGROUND

The majority of the prognostic scoring tools for peritonitis are impractical in low resource settings because they are complex while others are quite costly. The quick Sepsis-related Organ Failure Assessment (qSOFA) score and the Physiologic Indicators for Prognosis in Abdominal Sepsis (PIPAS) severity score are two strictly bedside prognostic tools but their predictive ability for mortality of peritonitis is yet to be compared. We compared the predictive ability of the qSOFA criteria and the PIPAS severity score for in-hospital mortality of peritonitis.

METHOD

This was a prospective cohort study on consecutive peritonitis cases managed surgically in a tertiary hospital in Uganda between October 2020 to June 2021. PIPAS severity score and qSOFA score were assessed preoperatively for each case and all cases were then followed up intra- and postoperatively until discharge from the hospital, or up to 30 days if the in-hospital stay was prolonged; the outcome of interest was in-hospital mortality. We used Receiver Operating Characteristic curve analysis to assess and compare the predictive abilities of these two tools for peritonitis in-hospital mortality. All tests were 2 sided (p < 0.05) with 95% confidence intervals.

RESULTS

We evaluated 136 peritonitis cases. Their mean age was 34.4 years (standard deviation = 14.5). The male to female ratio was 3:1. The overall in-hospital mortality rate for peritonitis was 12.5%. The PIPAS severity score had a significantly better discriminative ability (AUC = 0.893, 95% CI 0.801-0.986) than the qSOFA score (AUC = 0.770, 95% CI 0.620-0.920) for peritonitis mortality (p = 0.0443). The best PIPAS severity cut-off score (a score of > = 2) had sensitivity and specificity of 76.5%, and 93.3% respectively, while the corresponding values for the qSOFA criteria (score > = 2), were 58.8% and 98.3% respectively.

CONCLUSIONS

The in-hospital mortality in this cohort of peritonitis cases was high. The PIPAS severity score tool has a superior predictive ability and higher sensitivity for peritonitis in-hospital mortality than the qSOFA score tool although the latter tool is more specific. We recommend the use of the PIPAS severity score as the initial prognostic tool for peritonitis cases in the emergency department.