A follow-up of pain reported by children undergoing outpatient surgery using a smartphone application: AlgoDARPEF multicenter descriptive prospective study.

ABSTRACT: In pediatric patients, pain remains the most common complaint after surgery. This French multicenter epidemiological study (AlgoDARPEF) aimed to evaluate the use of a smartphone application (App) to assess the duration and severity of pain experienced by children undergoing outpatient surgery. Children younger than 18 years scheduled for an elective outpatient procedure in one of the participating centers were eligible. Parents were invited to provide daily information for 10 days regarding their child's pain and comfort through a smartphone App using the Parents' Postoperative Pain Measure-Short-Form (PPPM-SF). Children older than 6 years could also provide self-assessments of pain using a numerical rating scale (NRS)-11. Data regarding pain medication, preoperative anxiety, postoperative nausea and vomiting, and parent satisfaction were also analyzed. Repeated-measures analyses of variances (ANOVAs) were used to compare the self-assessments and hetero-assessments of pain. Eleven centers participated in the study, and 1573 patients were recruited. Forty-nine percentage of parents (n = 772) actually used the App at least once. In all surgeries, the average pain rating on the PPPM-SF scale did not exceed 3/10 throughout the follow-up period, as well as for 4 main surgical specialties. Age, visceral surgery, and preoperative anxiety ≥ 4/10 were identified as independent risk factors for experiencing at least 1 episode of pain ≥4/10 during the first 48 postoperative hours. Although these findings indicated that postoperative pain management seems to be satisfactory in the families who used the App, some improvements in anxiety management are suggested. This study shows that inviting parents to use a smartphone App to assess and report the quality of postoperative management in pediatric patients provides useful information. A continuous report regarding pain and adverse events over a 10-day postoperative period by a self-reporting or parent's contribution is possible. Future studies should investigate the ability of live data collection using an App to ensure fast, efficient interactions between patients and physicians.

Causes and Characteristics of Death in Intensive Care Units: A Prospective Multicenter Study.

BACKGROUND: Different modes of death are described in selected populations, but few data report the characteristics of death in a general intensive care unit population. This study analyzed the causes and characteristics of death of critically ill patients and compared anticipated death patients to unexpected death counterparts. METHODS: An observational multicenter cohort study was performed in 96 intensive care units. During 1 yr, each intensive care unit was randomized to participate during a 1-month period. Demographic data, characteristics of organ failures (Sequential Organ Failure Assessment subscore greater than or equal to 3), and organ supports were collected on all patients who died in the intensive care unit. Modes of death were defined as anticipated (after withdrawal or withholding of treatment or brain death) or unexpected (despite engagement of full-level care or sudden refractory cardiac arrest). RESULTS: A total of 698 patients were included during the study period. At the time of death, 84% had one or more organ failures (mainly hemodynamic) and 89% required at least one organ support (mainly mechanical ventilation). Deaths were considered unexpected and anticipated in 225 and 473 cases, respectively. Compared to its anticipated counterpart, unexpected death occurred earlier (1 day vs. 5 days; P< 0.001) and had fewer organ failures (1 [1 to 2] vs. 1 [1 to 3]; P< 0.01) and more organ supports (2 [2 to 3] vs. 1 [1 to 2]; P< 0.01). Withdrawal or withholding of treatments accounted for half of the deaths. CONCLUSIONS: In a general intensive care unit population, the majority of patients present with at least one organ failure at the time of death. Anticipated and unexpected deaths represent two different modes of dying and exhibit profiles reflecting the different pathophysiologic underlying mechanisms.

Acute kidney injury in the perioperative period and in intensive care units (excluding renal replacement therapies).

Acute kidney injury (AKI) is a syndrome that has progressed a great deal over the last 20 years. The decrease in urine output and the increase in classical renal biomarkers, such as blood urea nitrogen and serum creatinine, have largely been used as surrogate markers for decreased glomerular filtration rate (GFR), which defines AKI. However, using such markers of GFR as criteria for diagnosing AKI has several limits including the difficult diagnosis of non-organic AKI, also called "functional renal insufficiency" or "pre-renal insufficiency". This situation is characterized by an oliguria and an increase in creatininemia as a consequence of a reduction in renal blood flow related to systemic haemodynamic abnormalities. In this situation, "renal insufficiency" seems rather inappropriate as kidney function is not impaired. On the contrary, the kidney delivers an appropriate response aiming to recover optimal systemic physiological haemodynamic conditions. Considering the kidney as insufficient is erroneous because this suggests that it does not work correctly, whereas the opposite is occurring, because the kidney is healthy even in a threatening situation. With current definitions of AKI, normalization of volaemia is needed before defining AKI in order to avoid this pitfall.