Różnice wartości zautomatyzowanej pupilometrii służą jako wskaźnik prognostyczny, nawet gdy mieszczą się w normalnym zakresie

Introduction. The pupillary light reflex (PLR) is an integral aspect of the neurologic exam. With the enhancement of automated infrared pupillometry (AIP), the Neurological Pupil index (NPi) is being increasingly used when performing a neurological examination. NPi difference (the absolute difference between paired NPi readings from the left and right eye) is a relatively unexplored variable in AIP assessment.Aim. This study evaluates the association between Glasgow Coma Scale (GCS) scores and NPi differences between the left and right eyes, when the NPi is normal, in patients enrolled in a multi-center prospective database.Material and Methods. Restricting observations to only include NPi values ≥ 3 (normal), there were 2,572 qualifying patients with 3,519 pupillometer readings linked to GCS values. Linear regression and ANOVA models were developed to investigate the relationship between GCS and NPi difference.Results. Subject mean age was 55.88 (16.95) years and 54.5% were female. Mean NPi difference was 0.36 and mean GCS was 12.06. Regression analysis indicated a slight negative association between NPi difference and GCS (r2 = 0.0696, P < .0001). When observations were dichotomized as either NPi difference ≥ 0.7 (large) or < 0.7 (small), there was a statistically significant difference in the mean GCS (10.76 [3.90]) for large NPi difference vs. small NPi difference (13.15 [2.68]; P < .0001).Conclusions. Even among patients with normal PLR, a large NPi difference is associated with lower GCS scores. Trending and evaluating the NPi difference may become an important aspect of patient assessment. (JNNN 2021;10(4):168–174)Wstęp. Odruch źreniczny na światło (PLR) jest integralną częścią badania neurologicznego. Wraz z udoskonaleniem automatycznej pupilometrii w podczerwieni (AIP), wskaźnik neurologiczny źrenicy (NPi) jest coraz częściej używany podczas wykonywania badań neurologicznych. Różnica NPi (bezwzględna różnica między sparowanymi odczytami NPi z lewego i prawego oka) jest stosunkowo niezbadaną zmienną w ocenie AIP.Cel. Niniejsze badanie ocenia związek między wynikami w skali Glasgow (GCS) a różnicami NPi między lewym i prawym okiem, gdy NPi jest prawidłowe, u pacjentów włączonych do wieloośrodkowej prospektywnej bazy danych.Materiał i metody. Ograniczając obserwacje tylko do wartości NPi ≥ 3 (normalne), zakwalifikowano 2572 pacjentów z 3519 odczytami z pupilometru powiązanymi z wartościami GCS. Opracowano modele regresji liniowej i ANOVA w celu zbadania związku między różnicami między GCS a NPi.Wyniki. Średnia wieku badanych wynosiła 55,88 (16,95) lat i 54,5% stanowiły kobiety. Średnia różnica NPi wynosiła 0,36, a średnia GCS 12,06. Analiza regresji wykazała niewielki negatywny związek między różnicą NPi a GCS (r2 = 0,0696, P < 0,0001). Gdy obserwacje zostały rozdzielone jako różnica NPi ≥ 0,7 (duża) lub < 0,7 (mała), wystąpiła statystycznie istotna różnica w średniej GCS (10,76 [3,90]) dla dużej różnicy NPi vs małej różnicy NPi (13,15 [2,68]); P < 0,0001).Wnioski. Nawet wśród pacjentów z prawidłowym PLR duża różnica w NPi wiąże się z niższymi wynikami GCS. Trendy i ocena różnicy NPi mogą stać się ważnym aspektem oceny pacjenta. (PNN 2021;10(4):168–174

Autoregulation after ischaemic stroke

Absent outcome data from randomized clinical trials, management of hypertension in acute ischaemic stroke remains controversial. Data from human participants have failed to resolve the question whether cerebral blood flow (CBF) in the peri-infarct region will decrease due to impaired autoregulation when systemic mean arterial pressure (MAP) is rapidly reduced

Correlation of noninvasive blood pressure and invasive intra-arterial blood pressure in patients treated with vasoactive medications in a neurocritical care unit

BACKGROUND: The correlation between noninvasive (oscillometric) blood pressure (NBP) and intra-arterial blood pressure (IAP) in critically ill patients receiving vasoactive medications in a Neurocritical Care Unit has not been systematically studied. The purpose of this study is to examine the relationship between simultaneously measured NBP and IAP recordings in these patients. METHODS: Prospective observational study of patients (N = 70) admitted to a neurocritical care unit receiving continuous vasopressor or antihypertensive infusions. Paired NBP/IAP observations along with covariate and demographic data were abstracted via chart audit. Analysis was performed using SAS v9.4. RESULTS: A total of 2177 paired NBP/IAP observations from 70 subjects (49% male, 63% white, mean age 59 years) receiving vasopressors (n = 21) or antihypertensive agents (n = 49) were collected. Paired t test analysis showed significant differences between NBP versus IAP readings: ([systolic blood pressure (SBP): mean = 136 vs. 140 mmHg; p \u3c 0.0001], [diastolic blood pressure (DBP): mean = 70 vs. 68 mmHg, p \u3c 0.0001], [mean arterial blood pressure (MAP): mean = 86 vs. 90 mmHg, p \u3c 0.0001]). Bland-Altman plots for MAP, SBP, and DBP demonstrate good inter-method agreement between paired measures (excluding outliers) and demonstrate NBP-IAP SBP differences at extremes of blood pressures. Pearson correlation coefficients show strong positive correlations for paired MAP (r = 0.82), SBP (r = 0.84), and DBP (r = 0.73) recordings. An absolute NBP-IAP SBP difference of \u3e 20 mmHg was seen in ~ 20% of observations of nicardipine, ~ 25% of observations of norepinephrine, and ~ 35% of observations of phenylephrine. For MAP, the corresponding numbers were ~ 10, 15, and 25% for nicardipine, norepinephrine, and phenylephrine, respectively. CONCLUSION: Despite overall strong positive correlations between paired NBP and IAP readings of MAP and SBP, clinically relevant differences in blood pressure are frequent. When treating with vasoactive infusions targeted to a specific BP goal, it is important to keep in mind that NBP and IAP values are not interchangeable

Distributions and Reference Ranges for Automated Pupillometer Values in Neurocritical Care Patients.

BACKGROUND: Automated pupillometry is becoming widely accepted as an objective measure of pupillary function, especially in neurocritical care units. Normative reference values and thresholds to denote a significant change are necessary for integrating automated pupillometry into practice. OBJECTIVE: Providing point estimates of normal ranges for pupillometry data will help clinicians intuit meaning from these data that will drive clinical interventions. METHODS: This study used a planned descriptive analysis using data from a multicenter registry including automated pupillometry assessments in 2140 subjects from 3 US hospitals collected during a 3-year period. RESULTS: We provide a comprehensive list of admission pupillometry data. Our data demonstrate significant differences in pupillary values for Neurological Pupil Index, latency, and constriction velocity when stratified by age, sex, or severity of illness defined by the Glasgow Coma Scale score. CONCLUSION: This study provides a greater understanding of expected distributions for automated pupillometry values in a wide range of neurocritical care populations