Cluster analysis integrating age and body temperature for mortality in patients with sepsis: a multicenter retrospective study.

It is not clear whether mortality is associated with body temperature (BT) in older sepsis patients. This study aimed to evaluate the mortality rates in sepsis patients according to age and BT and identify the risk factors for mortality. We investigated the clusters using a machine learning method based on a combination of age and BT, and identified the mortality rates according to these clusters. This retrospective multicenter study was conducted at five hospitals in Korea. Data of sepsis patients aged ≥ 18 years who were admitted to the intensive care unit between January 1, 2011 and April 30, 2021 were collected. BT was divided into three groups (hypothermia < 36 °C, normothermia 36‒38 °C, and hyperthermia > 38 °C), and age groups were divided using a 75-year age threshold. Kaplan‒Meier analysis was performed to assess the cumulative mortality over 90 days. A K-means clustering algorithm using age and BT was used to characterize phenotypes. During the study period, 15,574 sepsis patients were enrolled. Overall, 90-day mortality was 20.5%. Kaplan‒Meier survival analyses demonstrated that 90-day mortality rates were 27.4%, 19.6%, and 11.9% in the hypothermia, normothermia, and hyperthermia groups, respectively, in those ≥ 75 years old (Log-rank p < 0.001). Cluster analysis demonstrated three groups: Cluster A (relatively older age and lower BT), Cluster B (relatively younger age and wide range of BT), and Cluster C (relatively higher BT than Cluster A). Kaplan‒Meier curve analysis showed that the 90-day mortality rates of Cluster A was significantly higher than those of Clusters B and C (24.2%, 17.1%, and 17.0%, respectively; Log-rank p < 0.001). The 90-day mortality rate correlated inversely with BT groups among sepsis patients in either age group (< 75 and ≥ 75 years). Clustering analysis revealed that the mortality rate was higher in the cluster of patients with relatively older age and lower BT.

Vehicular hyperthermia deaths in Indian children: a little recognised mode of fatal injury.

Parked vehicles can create deadly environments for young children who are left unattended. This study was a descriptive analysis to describe circumstances leading to death in children left unattended in parked motor vehicles in India. Between 2011 and 2018, there were 16 incidents that resulted in 28 fatalities across India, mostly in the summer months. The majority of children (19/28) were aged 4-6 years, of whom 25 (89%) gained access to unattended vehicles and became accidentally locked in. Hyperthermia-related deaths are a poorly recognised type of vehicular injury in India; there has been no analysis to describe circumstances leading to such fatalities.

Non-linear association between admission temperature and neonatal mortality in a low-resource setting.

Both neonatal hypothermia and hyperthermia represent important risk factors for neonatal mortality, but information on mortality risk across a full range of neonatal temperatures is lacking in low-resource settings. We evaluated the association between neonatal mortality and a full range of admission temperatures in a low-resource setting. This retrospective observational study was conducted at Beira Central Hospital, Mozambique. The relationship between admission temperature and mortality was evaluated using multivariable analyses with temperature modeled as non-linear term. Among 2098 neonates admitted to the Special Care Unit between January-December 2017, admission temperature was available in 1344 neonates (64%) who were included in the analysis. A non-linear association between mortality rate and temperature was identified. Mortality rate decreased from 84% at 32 °C to 64% at 34.6 °C (- 8% per °C), to 41% at 36 °C (- 16% per °C), to 26% to 36.6 °C (- 25% per °C) and to 22% at 38.3 °C (- 2% per °C), then increased to 40% at 41 °C (+ 7% per °C). Mortality rate was estimated to be at minimum at admission temperature of 37.5 °C. In conclusions, the non-linear relationship highlighted different mortality risks across a full range of neonatal temperatures in a low-resource setting. Admission temperature was not recorded in one third of neonates.

Impact of temperature change from admission to day one on neonatal mortality in a low-resource setting.

BACKGROUND: Thermal control after birth is an essential part of neonatal care. However, the relationship between neonatal temperature at and after admission is unknown. This study aimed to evaluate the change between neonatal temperature at admission and at day 1, and its impact on mortality. METHODS: Retrospective observational study at the Beira Central Hospital, Mozambique. Axillary temperatures were recorded at admission and at day 1 in 1,226 neonates who were admitted to the Special Care Unit between January 1 and December 31, 2017. The relationship between mortality rate and temperature change was evaluated with a matrix plot and a forest plot (obtained from a logistic regression model as odds ratios with 95% confidence intervals). RESULTS: Normothermia was found in 415 neonates (33.8%) at admission and in 638 neonates (52.0%) at day 1. Mortality rate was highest in (i) neonates who remained in severe/moderate hypothermia (74%), (ii) neonates who rewarmed from hypothermia (40-55%), and (iii) neonates who chilled to severe/moderate hypothermia (38-43%). Multivariable analysis confirmed that temperature change from admission to day 1 was an independent predictor of mortality (p < 0.0001). CONCLUSIONS: In a low-resource setting, one out of three neonates was found hypothermic at day 1 irrespectively of admission temperature. Relevant thermal deviations occurred in a high proportion of newborns with normothermia at admission. Being cold at admission and becoming cold or hyperthermic at day 1 were associated with increased likelihood of mortality. Appropriate actions to prevent both hypothermia and hyperthermia represent both a challenge and a priority during postnatal period.

[Forgotten Baby Syndrome: dimensions of the phenomenon and new research perspectives]. / Bambini dimenticati in auto: dimensioni del fenomeno e nuove prospettive di ricerca.

Forgotten Baby Syndrome (FBS) defines the phenomenon of forgetting a child in a parked vehicle. FBS is in constant growth with significant repercussions for the parent, the family and society. Scientific research on the topic is very limited. Literature referring to FBS focuses mostly on the clinical conditions that cause the death of the children involved. However, the circumstances in which such episodes occur are very rarely analyzed. One of the major limit of research in this field is related to the sources of information, which are limited to media in most cases and, therefore, are scarcely reliable. Monitoring the phenomenon in the United States showed that out of a total of 171 cases, 73% concerned children who had been left in the car by an adult. Half of the adults were unaware, or had forgotten the child. In most cases, these episodes involve adults who have perfectly intact both psychic and cognitive functions. Therefore, the dynamics underling the occurrence of such episodes seem to be incomprehensible. At the end of the analysis carried out it can be considered that the cases of death of minors following abandonment in vehicles, are to be considered connected to the normal functioning of the Working Memory (WM) functionality. The link between WM deficits and frankly psychopathological conditions remains residual and it still requires careful differential screening. Finally, the hypothesis of the occurrence of transient and/or acute circumstances of exogenous origin, which may affect WM's performance, remains to be considered. Considering these deaths as events that, in most cases, are of criminal relevance they may require the intervention of psychologists and psychiatrists during the process. In this prospective the assumption of a broader point of view can have a significant impact on the descriptive capacity in clinical-forensic field.

Admission Body Temperature in Critically Ill Patients as an Independent Risk Predictor for Overall Outcome.

INTRODUCTION: Body temperature (BT) abnormalities are frequently observed in critically ill patients. We aimed to assess admission BT in a heterogeneous critically ill patient population admitted to an intensive care unit (ICU) as a prognostic parameter for intra-ICU and long-term mortality. METHODS: A total of 6,514 medical patients (64 ± 15 years) admitted to a German ICU between 2004 and 2009 were included. A follow-up of patients was performed retrospectively. The association of admission BT with both intra-ICU and long-term mortality was investigated by logistic regression. RESULTS: Patients with hypothermia (<36°C BT) were clinically worse and had more pronounced signs of multi-organ failure. Admission BT was associated with adverse overall outcome, with a 2-fold increase for hyperthermia (mortality 12%; odds ratio [OR] 1.80, 95% confidence interval [CI] 1.43-2.26; p < 0.001), and a 4-fold increase for the risk of hypothermia (mortality 24%; OR 4.05, 95% CI 3.38-4.85; p < 0.001) with respect to intra-ICU and long-term mortality. Moreover, hypothermia was even more harmful than hyperthermia, and both were strongly associated with intra-ICU mortality, especially in patients admitted with acute coronary syndrome (hypothermia: hazard ratio 6.12, 95% CI 4.12-9.11; p < 0.001; hyperthermia: OR 2.70, 95% CI 1.52-4.79; p< 0.001). CONCLUSION: Admission BT is an independent risk predictor for both overall intra-ICU and long-term mortality in critically ill patients admitted to an ICU. Therefore, BT at admission might not only serve as a parameter for individual risk stratification but can also influence individual therapeutic decision-making.