Vasopressin Administration Is Associated With Rising Serum Lactate Levels in Patients With Sepsis

Mean core to peripheral temperature difference and mean lactate levels in first 6 hours of hospitalisation as two indicators of prognosis: an observational cohort study

Background

To study mean core to peripheral temperature difference (CPTD) and the mean lactate levels over the first 6 h of admission to hospital, as indicators of prognosis in critically ill children.

Methods

A prospective observational study in a tertiary level Pediatrics ICU in Delhi, India. Seventy eight paediatric patients from 1 month to 12 years were studied. Children with physical trauma, post-surgical patients and patients with peripheral vascular disease were excluded. Core temperature (skin over temporal artery) to peripheral temperature (big toe) difference was measured repeatedly every minute over 6 h and mean of temperature difference was calculated. Pediatric Risk of Mortality (PRISM) II, lactate clearance and mean lactate levels during that time were also studied. In-hospital mortality was used as the outcome measure.

Results

Mean temperature difference

During the first 6 h after admission the mean temperature difference was 9.37 ± 2 °C in those who died and 3.71 ± 2.27 °C in those who survived (p < 0.0001). The area under the receiver operating curve (AUROC) was 0.953 (p < 0.0001). The comparable AUROC of PRISM II was 0.999 (p < 0.0001).

Mean Lactate

Mean lactate level in the first 6 h was 7.1 ± 2.02 mg/dl in those who died compared to 2.86 ± 0.87 mg/dl in those who survived (p < 0.0001). The AUROC curve for mean lactate was 0.989 (95% CI = 0.933 to 0.999; p < 0.0001). AUROC for the lactate clearance was 0.682 (p = 0.0214).

Conclusions

The mean core to peripheral temperature difference over the first 6 h is an easy-to-use and non-invasive method that is useful to predict mortality in children admitted to the Pediatric ICU. The mean lactate during the first 6 h of Pediatric ICU admission is a better index of prognosis than the lactate clearance over the same time period. They may be used as components of a scoring system to predict mortality.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12887-020-02418-w.

Vasopressin in Conjunction With Norepinephrine in Septic Shock: A Retrospective Cohort Study From a Low Middle-Income Country

Objectives:

Guidelines recommend use of norepinephrine as the first-line treatment for fluid-refractory septic shock and if septic shock persists vasopressin may be initiated. Since there are limited data from low middle-income countries with high disease burden of sepsis, we aimed to compare the outcomes of using vasopressin adjunct to norepinephrine in comparison with norepinephrine alone.

Design:

Retrospective cohort study.

Setting:

Aga Khan University Hospital, Karachi, Pakistan.

Patients:

Six-hundred fifty-three patients diagnosed with septic shock from January 2019 to December 2019, with 498 given norepinephrine only and 155 given norepinephrine-vasopressin combination.

Interventions:

None.

Measurements and Main Results:

Primary outcome was in-hospital mortality. Secondary outcomes were duration of vasopressor used, length of hospital stay, length of ICU stay, and days on ventilatory support. After adjustment by multivariable logistic regression, it was found that mortality was not significantly associated with the norepinephrine-vasopressin combination (adjusted odds ratio, 0.633 [95% CI, 0.370–1.081]). However, Sequential Organ Failure Assessment score at admission (1.100 [1.014–1.193]), lactate at admission (1.167 [1.109–1.227]), duration of vasopressor used (1.481 [1.316–1.666]), and level of care (3.025 [1.682–5.441]) were found to be independently associated with the adjunct usage of norepinephrine and vasopressin.

Conclusions:

The use of norepinephrine-vasopressin combination has remained debatable in literature. Our study showed that although there was no difference in mortality between the two groups, admission Sequential Organ Failure Assessment scores and admission lactate levels were found to be significantly higher in the norepinephrine-vasopressin group. Hence, physicians from Pakistan used the norepinephrine-vasopressin combination in resistant septic shock patients who were sicker to begin with. Furthermore, duration of vasopressor therapy and ICU admission were also significantly higher in the combination group. Considering the recent hyperinflation of vasopressors costs and that most healthcare expenditure for patients in Pakistan is out-of-pocket, this can consequently lead to unwarranted financial burden for patients and their families.

Critical Care, Critical Data

As big data, machine learning, and artificial intelligence continue to penetrate into and transform many facets of our lives, we are witnessing the emergence of these powerful technologies within health care. The use and growth of these technologies has been contingent on the availability of reliable and usable data, a particularly robust resource in critical care medicine where continuous monitoring forms a key component of the infrastructure of care. The response to this opportunity has included the development of open databases for research and other purposes; the development of a collaborative form of clinical data science intended to fully leverage these data resources, and the creation of data-driven applications for purposes such as clinical decision support. Most recently, data levels have reached the thresholds required for the development of robust artificial intelligence features for clinical purposes. The systematic capture and analysis of clinical data in both individuals and populations allows us to begin to move toward precision medicine in the intensive care unit (ICU). In this perspective review, we examine the fundamental role of data as we present the current progress that has been made toward an artificial intelligence (AI)-supported, data-driven precision critical care medicine.