Literature DB >> 31771645

Impact of rewarming rate on the mortality of patients with accidental hypothermia: analysis of data from the J-Point registry.

Makoto Watanabe1, Tasuku Matsuyama2, Sachiko Morita3, Naoki Ehara4, Nobuyoshi Miyamae5, Yohei Okada6, Takaaki Jo7, Yasuyuki Sumida8, Nobunaga Okada1,9, Masahiro Nozawa10, Ayumu Tsuruoka11,12, Yoshihiro Fujimoto4, Yoshiki Okumura13, Tetsuhisa Kitamura14, Bon Ohta1.   

Abstract

BACKGROUND: n class="Disease">Accidental hypothermia (AH) is defined as an involuntary decrease in core body temperature to < 35 °C. The management of AH has been progressing over the last few decades, and numerous techniques for rewarming have been validated. However, little is known about the association between rewarming rate (RR) and mortality in patients with AH.
METHOD: This was a multicentre chart review study of patients with AH visiting the emergency department of 12 institutions in Japan from April 2011 to March 2016 (Japanese accidental hypothermia network registry, J-Point registry). We retrospectively registered patients using the International Classification of Diseases, Tenth Revision code T68: 'hypothermia'. We excluded patients whose body temperatures were unknown or ≥ 35 °C, who could not be rewarmed, whose rewarmed temperature or rewarming time was unknown, those aged < 18 years, or who or whose family members had refused to join the registry. RR was calculated based on the body temperature on arrival at the hospital, time of arrival at the hospital, the documented temperature during rewarming, and time of the temperature documentation. RR was classified into the following five groups: ≥2.0 °C/h, 1.5-< 2.0 °C/h, 1.0-< 1.5 °C/h, 0.5-< 1.0 °C/h, and < 0.5 °C/h. The primary outcome of this study was in-hospital mortality. The association between RR and in-hospital mortality was evaluated using multivariate logistic regression analysis. RESULT: During the study, 572 patients were registered in the J-Point registry, and 481 patients were included in the analysis. The median body temperature on arrival to the hospital was 30.7 °C (interquartile range [IQR], 28.2 °C-32.4 °C), and the median RR was 0.85 °C/h (IQR, 0.53 °C/h-1.31 °C/h). The in-hospital mortality rates were 19.3% (11/57), 11.1% (4/36), 14.4% (15/104), 20.1% (35/175), and 34.9% (38/109) in the ≥2.0 °C/h, 1.5-< 2.0 °C/h, 1.0-< 1.5 °C/h, 0.5-< 1.0 °C/h, and < 0.5 °C/h groups, respectively. Multivariate regression analysis revealed that in-hospital mortality rate increased with each 0.5 °C/h decrease in RR (adjusted odds ratio, 1.49; 95% confidence interval, 1.15-1.94; Ptrend < 0.01).
CONCLUSION: This study showed that slower RR is independently associated with in-hospital mortality.

Entities:  

Keywords:  Accidental hypothermia; Rewarming; Rewarming rate

Mesh:

Year:  2019        PMID: 31771645      PMCID: PMC6880476          DOI: 10.1186/s13049-019-0684-5

Source DB:  PubMed          Journal:  Scand J Trauma Resusc Emerg Med        ISSN: 1757-7241            Impact factor:   2.953


Background

Accidental hypothermia (n class="Disease">AH) is defined as an involuntary decrease in core body temperature to < 35 °C [1]. AH cases are frequently observed in the emergency department and can present significant problems. A previous study has stated that the mortality rate of patients with AH was as high as approximately 30% [2]. Severe hypothermia (body core temperature < 28 °C) was specifically associated with a high risk of sudden cardiac arrest [3]. The management of AH has been progressing over the last few decades, and numerous techniques for rewarming have been validated [4-6]; however, little is known about the optimal rewarming rate (RR). Theoretically, it seems reasonable to rewarm patients with n class="Disease">AH as fast as possible to avoid the fatal complications of hypothermia such as cardiac instability [1, 5]. Conversely, rewarming is associated with a number of complications: for example, hypotension, neutropenia, thrombocytopenia, electrolyte changes, cardiac arrhythmias, gastrointestinal bleeding, and infection [4, 6–9]. These complications may consequently affect the mortality rate as a number of deaths in patients with AH have been noted after successful rewarming [6]. Hence, the selection of appropriate rewarming strategies, including RR, is considered the major problem in AH. Suggestions about RR vary among studies; some studies suggest the benefit of rapid RR [4, 5, 10], while other studies do not [6, 11–13]. These suggestions are based on small observational studies, animal studies, and studies in cardiac surgery. Thus, existing guidelines do not mention the optimal RR because of insufficient evidence [1, 3]. We performed the Japanese accidental hypothermia network registry (J-Point registry), a multicentre retrospective observational study, which enrolled 481 adult n class="Species">patients with AH. Using this registry, we evaluated the association between RR and in-hospital mortality.

Methods

Study design and setting

We conducted a multicentre chart review study of patients with n class="Disease">AH visiting the emergency departments of 12 institutions in Japan (Japanese accidental hypothermia network registry [J-Point registry]). The Japanese AH network comprises eight critical care medical centres (CCMCs) and four non-CCMCs with an emergency department across the Kyoto, Osaka, and Shiga Prefectures in Japan. For the participating institutions, the median annual emergency department visit volume was 19,651 (interquartile range [IQR], 13,281–27,554). Using these data, we evaluated the association between RR and mortality.

Participants

We retrospectively registered patients using the International Classification of Diseases, Tenth Revision (ICD-10) code T68: ‘n class="Disease">hypothermia’ from April 2011 to March 2016. We excluded patients whose body temperatures were unknown or ≥ 35 °C, who could not be rewarmed, whose rewarmed temperature or rewarming time was unknown, aged < 18 years, or those who or whose family members had refused to join the registry.

Data collection and quality control

The details of the methodology were described previously [14]. In summary, all chart reviewers were emergency physicians who underwent training for appropriate data extraction. A predefined uniform datasheet was used for data collection. Collected baseline patient characteristics were as follows: sex, age, activities of daily living (ADLs) before the emergency departn class="Species">ment visit (independent, needing some assistance, or needing total assistance), residence (living at home alone, living at home but not alone, nursing home, or homeless), medical history (cardiovascular disease, neurological disease, endocrine disease, psychiatric disease, malignant disease, or dementia, or others), location (indoor or outdoor), and mode of arrival (walk-in or transported using an ambulance). The data collected upon arrival at the hospital were as follows: vital signs upon arrival at the hospital (body temperature, blood pressure, heart n class="Species">rate, and Glasgow Coma Scale [GCS] score), biological data (serum pH, bicarbonate [HCO3-] [mEq/L], lactate [mmol/L], sodium [mEq/L], potassium [mEq/L], and glucose [mg/dL] levels), cold exposure, associated conditions, treatment process, and outcome. The presence of cold exposure, which is a possible cause of the hypothermia, was determined by the clinician who cared for the patient or who entered the data of this study. The Sequential Organ Failure Assessment (SOFA) score was only calculated for patients admitted to the intensive care unit. Consistent with a previous study [2], associated conditions were classified into internal disease, traumatic injury, alcohol intoxication, drowning, and self-harm, and others. The diagnoses of internal disease were obtained from ICD-9 or ICD-10 code in the medical records. Rewarming procedures were divided into active external/minimally invasive rewarming (warm intravenous fluids, warm blanket, forced warm air, heating pads, and warm bath) and active internal rewarming (lavage, intravascular haemodialysis, and extracorporeal membrane oxygenation) [15]. Other treatment information included endotracheal intubation, use of catecholamines, and emergent transvenous cardiac pacing. The data collected on the outcomes were in-hospital mortality and the incidence of ventricular fibrillation or pulseless ventricular tachycardia (VF/VT).

Outcome measures

In this study, the primary outcome was in-hospital mortality, and the secondary outcome was the incidence of n class="Disease">VF/VT. We calculated RR based on the body temperature upon arrival, documented temperature during rewarming, and time spent for the rewarming. We evaluated the association between RR and these outcomes.

Statistical analysis

Patients were divided into the following five groups according to their RR: ≥2.0 °C/h, 1.5–< 2.0 °C/h, 1.0–< 1.5 °C/h, 0.5–< 1.0 °C/h, and < 0.5 °C/h. n class="Species">Patients’ characteristics, in-hospital information, and outcomes were evaluated between the five groups using Kruskal-Wallis tests for continuous variables and Fisher’s exact tests for categorical variables. For the post-hoc analyses of these tests, Steel-Dwass multiple comparison tests and Bonferroni correction for multiple comparisons were used, respectively. Regarding the primary outcome, the association between each category of the RR and in-hospital mortality was evaluated using the univariate and multivariate logistic regression analyses, with crude or adjusted odds ratios (AORs) and their 95% confidence interval (CI) as the effect variables. In multivariate models, we selected the potential confounders that were considered to be associated with the clinical outcomes, including sex, age category (adults aged 18–64 years, the young–elderly aged 65–74 years, or the elderly–elderly aged ≥75 years), body temperature at arrival to the hospital (mild [≥32 °C], moderate [28–32 °C], and severe [< 28 °C]), the number of past medical history (none, one, or multiple), ADLs (independent, need for some assistance, need for total assistance, or unknown), systolic blood pressure (cardiac arrest, unmeasurable, 40–90 mmHg, or 90 < mmHg), cold exposure (yes, no, or unknown), presence of associated internal diseases (yes or no), and active internal rewarming (yes or no). Regarding the secondary outcome, the association between each category of the RR and occurrence of VF/VT was evaluated using the univariate logistic regression analyses, with crude odds ratios and their 95% CI as the effect variables. Additionally, we divided the patients into subgroups according to age category (adults aged 18–64 years, elderly patients aged ≥65 years), location (indoor, outdoor), body temperature at arrival to the hospital (mild, moderate, severe), associated conditions (presence of associated internal disease or not), and rewarming procedure (use of active internal rewarming or not). The association between each category of the RR and in-hospital mortality was evaluated in the same way as the primary outcome. All P values were two-sided, and 0.05 levels were considered statistically significant. All statistical analyses were performed using the Statistical Package for the Social Sciences software (V.24 J), R (The R Foundation for Statistical Computing, version 3.30, Saitama, Japan), and EZR (Saitama Medical Center, Jichi Medical University, version 1.32, Saitama, Japan), which is a graphical user interface for R [16].

Result

During the study period, 572 patients were registered in the J-Point registry; out of which, 27 n class="Species">patients whose body temperature was ≥35 °C, 8 patients aged < 18 years, 2 patients who could not be rewarmed, and 54 patients whose rewarmed temperature or rewarming time were unknown were excluded in the study (Fig. 1). We finally enrolled 481 patients for the analysis.
Fig. 1

Study flowchart

Study flowchart

Patient characteristic and in-hospital data

The baseline patients’ characteristics are presented in Table 1. Approximately half of the n class="Species">patients were male (50.5%), and the median age was 79 years (IQR, 67–87 years). Overall, 78% of the patients had AH in an indoor setting. Patients were younger in the ≥2.0 °C/h group. Patients in the < 0.5 °C/h groups were more likely to have decreased ADLs and lived in nursing homes. There was no significant difference in the number and types of past medical history among the five groups.
Table 1

Baseline characteristics of the study population according to their rewarming rate category

All patientsRewarming rate (°C/h)P values*
(≥2.0)(1.5–< 2.0)(1.0–< 1.5)(0.5–< 1.0)(< 0.5)
n = 481n = 57n = 36n = 104n = 175n = 109
Men243 (50.5)25 (43.9)14 (38.9)56 (53.8)93 (53.1)55 (50.5)0.424
Age, y, median (IQR)79 (67–87)71 (64–81)a, b77 (68–85)76 (64–87)82 (70–87)a81 (72–89)b0.002
Age category
 Adults aged 18–64 years101 (21.0)15 (26.3)8 (22.2)27 (26.0)35 (20.0)16 (14.7)0.240
 Young-elderly aged 65–74 years79 (16.4)18 (31.6)a7 (19.4)18 (17.3)20 (11.4)a16 (14.7)0.014
 Elderly-elderly aged ≥75 years301 (62.6)24 (42.1)a, b21 (58.3)59 (56.7)120 (68.6)a77 (70.6)b0.002
Activity of daily living
 Independent335 (70.0)49 (86.0)a30 (83.3)b74 (71.2)121 (68.4)61 (56.0)a, b< 0.001
 Need for some assistance114 (23.7)8 (14.0)5 (13.9)28 (26.9)44 (25.3)29 (26.6)0.183
 Need for total assistance31 (6.4)0 (0.0)a1 (2.8)2 (1.9)b10 (6.3)c18 (16.5)a, b, c< 0.001
 Unknown1 (0.21)0 (0.0)0 (0.0)0 (0.0)0 (0.0)1 (0.9)
Residence
 Home432 (89.8)53 (93.0)34 (94.4)101 (97.1)a156 (89.1)88 (80.7)a0.002
  Living alone193 (40.1)17 (29.8)19 (52.8)51 (49.0)a75 (42.9)31 (28.4)a0.004
  Living not alone239 (49.7)36 (63.2)15 (41.7)50 (48.1)81 (46.3)57 (52.3)0.180
 Nursing home30 (6.2)0 (0.0)a1 (2.8)1 (1.0)b11 (6.3)17 (15.6)a, b< 0.001
 Homelessness4 (0.8)0 (0.0)1 (2.8)0 (0.0)2 (1.1)1 (0.9)0.496
 Unknown15 (3.1)4 (7.0)0 (0.0)2 (1.9)6 (3.4)3 (2.8)
Location
 Indoor375 (78.0)36 (63.2)a, b27 (75.0)68 (65.4)c, d150 (85.7)a, c94 (86.2)b, d< 0.001
 Outdoor106 (22.0)21 (36.8)a, b9 (25.0)36 (34.6)c, d25 (14.3)a, c15 (13.8)b, d< 0.001
Mode of arrival
 Ambulance453 (94.2)55 (96.5)35 (97.2)101 (97.1)166 (94.9)96 (88.1)0.065
 Walk-in28 (5.8)2 (3.5)1 (2.8)3 (2.9)9 (5.1)13 (11.9)0.065
Past medical history
 Cardiovascular disease213 (44.3)27 (47.4)13 (36.1)37 (35.6)77 (44.0)59 (54.1)0.070
 Neurological disease86 (17.9)7 (12.3)4 (11.1)21 (20.2)31 (17.7)23 (21.1)0.507
 Endocrine disease116 (24.2)16 (28.1)8 (22.2)18 (17.3)44 (25.1)30 (27.5)0.391
 Psychiatric disease110 (22.9)18 (31.6)11 (30.6)24 (23.1)37 (21.1)20 (18.3)0.261
 Malignant disease50 (10.4)7 (12.3)3 (8.3)9 (8.7)23 (13.1)8 (7.3)0.546
 Dementia99 (20.6)5 (8.8)7 (19.4)20 (19.2)39 (22.3)28 (25.7)0.111
 Other88 (18.7)7 (12.3)6 (16.7)19 (18.3)35 (20.0)21 (19.3)0.784
 Unknown7 (1.46)1 (1.8)0 (0.0)1 (1.0)3 (1.7)2 (1.8)1.000
Number of past medical history
 None118 (24.5)13 (22.8)11 (30.6)28 (26.9)47 (26.9)19 (17.4)0.308
 One152 (31.6)18 (31.6)11 (30.6)37 (35.6)50 (28.6)36 (33.0)0.803
 Multiple211 (43.9)26 (45.6)14 (38.9)39 (37.5)78 (44.6)54 (49.5)0.464

Values are expressed numbers (percentages) unless indicated otherwise

Groups that share a superscript letter were significantly different from post-hoc pairwise comparisons

* Represents P for heterogeneity across the 5 rewarming rate groups. Comparisons between the 5 groups were evaluated with Kruskal-Wallis test for numeric variables and Fisher’s exact test for categorical variables. For post-hoc pairwise comparisons of these tests, Steel-Dwass multiple comparison tests and Bonferroni correction for multiple comparisons were used, respectively

Baseline characteristics of the study population according to their rewarming rate category Values are expressed numbers (percentages) unless indicated otherwise Groups that share a superscript letter were significantly different from post-hoc pairwise comparisons * Represents P for heterogeneity across the 5 rewarming rate groups. Comparisons between the 5 groups were evaluated with Kruskal-Wallis test for numeric variables and Fisher’s exact test for categorical variables. For post-hoc pairwise comparisons of these tests, Steel-Dwass multiple comparison tests and Bonferroni correction for multiple comparisons were used, respectively The in-hospital data are presented in Table 2. The median body temperature was 30.7 °C (IQR, 28.2–32.4 °C), and the median RR was 0.85 °C/h (IQR, 0.53–1.31 °C/h). Most of the n class="Species">patients received active external or minimally invasive rewarming, whereas about one in six patients received active internal rewarming. The percentage of patients with cardiac arrest was highest in the > 2.0 °C/h group. Acid-base status abnormality (pH, lactate, and HCO3-) are more common in the > 2.0 °C/h group, but serum sodium and potassium levels did not differ among the five groups. There was no significant difference in GCS and SOFA score. The prevalence of internal disease association was significantly high in the < 0.5 °C/h group.
Table 2

In-hospital data of the study population according to their rewarming rate category

All patientsMissingRewarming rate (°C/h)P values*
(≥2.0)(1.5–< 2.0)(1.0–< 1.5)(0.5–< 1.0)(< 0.5)
n = 481n = 57n = 36n = 104n = 175n = 109
Body temperature, Median (IQR)30.7 (28.2–32.4)0 (0.0)27.2 (25.6–31.2)a, b28.8 (26.0–30.6)c,29.8 (27.5–32.0)a30.9 (28.8–32.5)b, c32.2 (30.2–33.6)a, b, c< 0.001
Body temperature category0 (0.0)
 Mild (≥32 °C)163 (33.9)10 (17.5)a5 (13.9)b27 (26.0)c60 (34.3)d61 (56.0)a, b, c, d< 0.001
 Moderate (28–32 °C)216 (44.9)15 (26.3)a16 (44.4)48 (46.2)92 (52.6)a45 (41.3)0.011
 Severe (< 28 °C)102 (21.2)32 (56.1)a15 (41.7)b29 (27.9)a23 (13.1)a, b3 (2.8)a, b< 0.001
Systolic blood pressure0 (0.0)
 Cardiac arrest12 (2.5)9 (15.8)a, b, c0 (0.0)1 (1.0)a1 (0.6)b1 (0.9)c< 0.001
 Unmeasurable29 (6.0)8 (14.0)2 (5.6)4 (3.8)12 (6.9)3 (2.8)0.063
 40–90 mmHg98 (20.4)5 (8.8)a8 (22.2)21 (20.2)33 (18.9)31 (28.4)a0.045
 > 90 mmHg342 (71.1)35 (61.4)26 (72.2)78 (75.0)129 (73.7)74 (67.9)0.345
Heart rate, Median (IQR)65 (49–84)2 (0.4)60 (35–99)74 (49–95)71 (58–87)a63 (50–81)60 (45–75)a0.021
Glasgow coma scale, Median (IQR)11 (8–14)58 (12.1)11 (6–13)11 (8–13)11 (8–14)12 (9–14)10 (7–14)0.073
Biological data
 Serum pH, Median (IQR)7.312 (7.246–7.368)62 (12.9)7.267 (7.178–7.318)a, b7.312 (7.257–7.338)7.306 (7.209–7.358)7.329 (7.255–7.379)a7.336 (7.273–7.375)b0.001
 Serum HCO3- (mEq/L), Median (IQR)21 .0 (15.8–25.7)66 (13.7)19.9 (14.6–23.9)a18.3 (15.1–25.6)19.2 (14.4–24.0)b21.9 (16.0–26.2)22.8 (17.0–26.4)a, b0.014
 Serum Lactate (mmol/L), Median (IQR)2.8 (1.3–6.0)100 (20.8)4.4 (2.2–8.8)a, b3.1 (1.9–5.8)c4.1 (2.0–7.0)d, e2.1 (1.2–5.6)a, d1.8 (0.9–3.6)b, c, e< 0.001
 Serum Sodium (mEq/L), Median (IQR)140 (135–143)7 (1.5)140 (137–143)141 (139–143)140 (137–143)139 (136–143)138 (133–143)0.272
 Serum Potassium (mEq/L), Median (IQR)4 (3.6–4.7)6 (1.2)4.2 (3.6–4.9)4.2 (3.6–4.5)4.1 (3.6–4.8)4.0 (3.5–4.6)4.0 (3.6–4.5)0.891
 Serum Glucose (mg/dL), Median (IQR)127 (91–189)44 (9.1)164 (107–256)122 (107–165)132 (97–201)127 (96–182)109 (82–180)0.051
SOFA score**5 (3–7)32 (13.0)7 (3–9)5 (4–7)4 (2–6)5 (3–7)6 (3–8)0.108
Cold exposure378 (78.6)13 (2.7)51 (89.5)a34 (94.4)b90 (86.5)c134 (76.6)69 (63.3)a, b, c< 0.001
Associated condition
 Internal disease248 (51.6)0 (0.0)23 (40.4)a13 (36.1)b51 (49.0)89 (50.9)72 (66.1)a, b0.003
 Trauma64 (13.3)0 (0.0)5 (8.8)8 (22.2)15 (14.4)23 (13.1)13 (11.9)0.452
 Alcohol intoxication43 (8.9)0 (0.0)5 (8.8)2 (5.6)12 (11.5)20 (11.4)4 (3.7)0.146
 Drowning27 (5.6)0 (0.0)8 (14.0)a3 (8.3)8 (7.7)7 (4.0)1 (0.9)b0.004
 Self-harm30 (6.2)0 (0.0)6 (10.5)5 (13.9)9 (8.7)8 (4.6)2 (1.8)0.017
 other126 (26.2)0 (0.0)14 (24.6)7 (19.4)24 (23.1)48 (27.4)33 (30.3)0.665
Admission ward
 No admission15 (3.1)0 (0.0)0 (0.0)1 (2.8)4 (3.8)6 (3.4)4 (3.7)0.692
 General ward219 (45.5)0 (0.0)25 (43.9)9 (25.0)45 (43.3)82 (46.9)58 (53.2)0.056
 Intensive care unit247 (51.4)0 (0.0)32 (56.1)26 (72.2)a55 (52.9)87 (49.7)47 (43.1)a0.039
Rewarming procedure
 Active external or Minimally invasive460 (95.6)0 (0.0)55 (96.5)34 (94.4)98 (94.2)168 (96.0)105 (96.3)0.917
  Warm intravenous fluids360 (74.8)0 (0.0)51 (89.5)a30 (83.3)83 (79.8)b130 (74.3)66 (60.6)a, b< 0.001
  Warm blanket340 (70.7)0 (0.0)28 (49.1)a, b20 (55.6)c67 (64.0)137 (78.3)a88 (80.7)b, c< 0.001
  Forced warm air76 (15.8)0 (0.0)13 (22.8)a9 (25.0)22 (21.2)24 (13.7)8 (7.3)a0.007
  Heating Pads20 (4.2)0 (0.0)4 (7.0)4 (11.1)7 (6.7)2 (1.1)3 (2.8)0.009
  Warm bath15 (3.1)0 (0.0)3 (5.3)5 (13.9)a, b5 (4.8)1 (0.6)a1 (0.9)b< 0.001
 Active internal80 (16.6)0 (0.0)19 (33.3)a6 (16.7)16 (15.4)28 (16.0)11 (10.1)a0.009
  Lavage38 (7.9)0 (0.0)5 (8.8)3 (8.3)11 (10.6)13 (7.4)6 (5.5)0.708
  Intravascular4 (0.8)0 (0.0)0 (0.0)1 (2.8)0 (0.0)2 (1.1)1 (0.9)0.496
  Hemodialysis25 (5.2)0 (0.0)2 (3.5)1 (2.8)5 (4.8)13 (7.4)4 (3.7)0.675
  ECMO18 (3.7)0 (0.0)13 (22.8)a, b, c2 (5.6)1 (1.0)a1 (0.6)b1 (0.9)c< 0.001
Other treatment
 Intubation29 (6.03)0 (0.0)6 (10.5)2 (5.6)6 (5.8)10 (5.7)5 (4.6)0.663
 Catecholamine82 (17.1)0 (0.0)16 (28.1)12 (33.3)a12 (11.5)a23 (13.1)19 (17.4)0.005
 Emergent transvenous cardiac pacing6 (1.3)0 (0.0)1 (1.8)2 (5.6)0 (0.0)1 (0.6)2 (1.8)0.075
Rewarming rate (°C/h), Median (IQR)0.85 (0.53–1.31)0 (0.0)2.7 (2.25–3.8)1.68 (1.6–1.84)1.20 (1.09–1.31)0.73 (0.59–0.85)0.34 (0.25–0.41)< 0.001

Values are expressed as numbers (percentages) unless indicated otherwise

Groups that share a superscript letter were significantly different from post-hoc pairwise comparisons

SOFA sequential organ failure assessment, ECMO extracorporeal membrane oxygenation

* Represents P for heterogeneity across the 5 rewarming rate groups. Comparisons between the 5 groups were evaluated with Kruskal-Wallis test for numeric variables and Fisher’s exact test for categorical variables. For post-hoc pairwise comparisons of these tests, Steel-Dwass multiple comparison tests and Bonferroni correction for multiple comparisons were used, respectively

** Calculated with patients admitting to intensive care units

† Post-hoc analysis was omitted

In-hospital data of the study population according to their rewarming rate category Values are expressed as numbers (percentages) unless indicated otherwise Groups that share a superscript letter were significantly different from post-hoc pairwise comparisons SOFA sequential organ failure assessment, ECMO extracorporeal membrane oxygenation * Represents P for heterogeneity across the 5 rewarming rate groups. Comparisons between the 5 groups were evaluated with Kruskal-Wallis test for numeric variables and Fisher’s exact test for categorical variables. For post-hoc pairwise comparisons of these tests, Steel-Dwass multiple comparison tests and Bonferroni correction for multiple comparisons were used, respectively ** Calculated with patients admitting to intensive care units † Post-hoc analysis was omitted

Outcome

The outcomes of this study are presented in Table 3. The in-hospital mortality n class="Species">rates were 19.3% (11/57), 11.1% (4/36), 14.4% (15/104), 20.1% (35/175), and 34.9% (38/109) in the ≥2.0 °C/h, 1.5–< 2.0 °C/h, 1.0–< 1.5 °C/h, 0.5–< 1.0 °C/h, and < 0.5 °C/h groups, respectively. Multivariate regression analysis revealed that the in-hospital mortality rate increased with each 0.5 °C/h decrease in RR (AOR, 1.49; 95% CI, 1.15–1.94; Ptrend < 0.01). Additionally, the mortality rate was significantly higher in the < 0.5 °C/h group than in the ≥2.0 °C/h group (AOR, 4.09; 95% CI, 1.33–12.6). Regarding the case of the secondary outcome, univariate logistic analysis revealed that the incidence of VF/VT decreased with each 0.5 °C/h decrease in RR (AOR, 0.55; 95% CI, 0.33–0.90; Ptrend = 0.016). According to the subgroup analysis, although each analysis showed heterogeneity and under power, the negative association of RR and mortality was constant (Table 4).
Table 3

In-hospital mortality and the incidence of VF or pulseless VT

All patientsRewarming rate (°C/h)Odds for trendP for trend
(≥2.0)(1.5–< 2.0)(1.0–< 1.5)(0.5–< 1.0)(< 0.5)
n = 481n = 57n = 36n = 104n = 175n = 109
Primary outcome
 In-hospital mortality103 (21.4)11 (19.3)4 (11.1)15 (14.4)35 (20)38 (34.9)
  Odds ratio (95% CI)Reference0.52 (0.15–1.79)0.71 (0.30–1.66)1.05 (0.50–2.24)2.24 (1.04–4.82)1.33 (1.10–1.61)0.003
  Adjusted odds ratio (95% CI)*Reference1.11 (0.27–4.62)1.23 (0.41–3.66)1.83 (0.64–5.22)4.09 (1.33–12.6)1.49 (1.15–1.94)0.003
Secondary Outcome
 Vf or pulseless VT during rewarming procedure9 (1.9)2 (3.5)2 (5.6)4 (3.8)1 (0.6)0 (0.0)
  Odds ratio (95% CI)Reference1.62 (0.22–12.0)1.10 (0.20–6.20)0.16 (0.01–1.78)N/A0.55 (0.33–0.90)0.016

Values are expressed as numbers (percentages) unless indicated otherwise

Vf ventricular fibrillation, VT ventricular tachycardia, CI confidence interval

* Adjusted for sex, age category, body temperature at arrival to the hospital, the number of past medical history, activity of daily living, cold exposure, systolic blood pressure, internal disease etiology, active internal rewarming procedure

Table 4

In-hospital mortality (subgroup analysis)

All patientsRewarming rate (°C/h)Odds for trendP for trend
(≥2.0)(1.5–2.0)(1.0–1.5)(0.5–1.0)(< 0.5)
n = 481n = 57N = 36n = 104n = 175n = 109
Age category
 Adults aged 18–64 years101158273516
  In-hospital mortality12 (11.9)1 (6.7)1 (12.5)3 (11.1)5 (14.3)2 (12.5)
   Odds ratio (95% CI)Reference2.00 (0.11–37.0)1.75 (0.17–18.5)2.33 (0.25–21.9)2.00 (0.16–24.7)1.17 (0.71–1.95)0.532
   Adjusted odds ratio (95% CI)aReferenceN/AN/AN/AN/A1.69 (0.87–3.30)0.124
 Elderly patients aged ≥65 years38042287714093
  In-hospital mortality (%)91 (23.9)10 (23.8)3 (10.7)12 (15.6)30 (21.4)36 (38.7)
   Odds ratio (95% CI)Reference0.38 (0.10–1.55)0.59 (0.23–1.51)0.87 (0.39–1.98)2.02 (0.89–4.61)1.33 (1.08–1.64)0.008
   Adjusted odds ratio (95% CI)aReference0.68 (0.15–3.17)0.83 (0.27–2.55)1.49 (0.51–4.37)3.68 (1.15–11.8)1.53 (1.15–2.04)0.004
Location
 Indoor37536276815094
  In-hospital mortality (%)94 (25.1)10 (27.8)3 (11.1)13 (19.1)32 (21.3)36 (38.3)
   Odds ratio (95% CI)Reference0.33 (0.08–1.32)0.62 (0.24–1.58)0.71 (0.31–1.61)1.61 (0.70–3.74)1.25 (1.01–1.54)0.039
   Adjusted odds ratio (95% CI)bReference0.55 (0.11–2.68)0.89 (0.27–2.87)1.03 (0.34–3.10)2.48 (0.76–8.14)1.36 (1.03–1.80)0.033
 Outdoor106219362515
  In-hospital mortality (%)9 (8.5)1 (4.8)1 (11.1)2 (5.6)3 (12.0)2 (13.3)
   Odds ratio (95% CI)Reference2.50 (0.14–45.0)1.18 (0.10–13.8)2.73 (0.26–28.4)3.08 (0.25–37.5)1.32 (0.75–2.32)0.330
   Adjusted odds ratio (95% CI)bReferenceN/AN/AN/AN/A1.98 (0.58–6.76)0.273
Body temperature at arrival to the hospital
 Mild (≥32 °C)163105276061
  In-hospital mortality (%)32 (19.6)0 (0.0)1 (20.0)3 (11.1)6 (10.0)22 (36.1)
   Odds ratio (95% CI)ReferenceN/AN/AN/AN/A2.43 (1.38–4.25)0.002
   Adjusted odds ratio (95% CI)cReferenceN/AN/AN/AN/A2.21 (1.15–4.25)0.017
 Moderate (28–32 °C)2161516489245
   In-hospital mortality (%)45 (20.8)2 (13.3)1 (6.2)6 (12.5)21 (22.8)15 (33.3)
   Odds ratio (95% CI)Reference0.43 (0.04–5.35)0.93 (0.17–5.17)1.92 (0.40–9.21)3.25 (0.65–16.3)1.62 (1.13–2.32)0.009
   Adjusted odds ratio (95% CI)cReference0.79 (0.05–11.9)0.82 (0.12–5.62)1.69 (0.28–10.2)2.86 (0.43–18.9)1.48 (0.96–2.28)0.078
 Severe (< 28 °C)102321529233
  In-hospital mortality (%)26 (25.5)9 (28.1)2 (13.3)6 (20.7)8 (34.8)1 (33.3)
   Odds ratio (95% CI)Reference0.39 (0.07–2.10)0.67 (0.20–2.18)1.36 (0.43–4.32)1.28 (0.10–15.9)1.10 (0.76–1.58)0.612
   Adjusted odds ratio (95% CI)cReference0.49 (0.07–3.44)0.58 (0.12–2.90)1.18 (0.23–6.08)2.44 (0.13–47.5)1.17 (0.71–1.93)0.548
Associated condition
 Patients with internal disease etiology2482313518972
  In-hospital mortality (%)71 (28.6)5 (21.7)3 (23.1)12 (23.5)22 (24.7)29 (40.3)
   Odds ratio (95% CI)Reference1.08 (0.21–5.49)1.11 (0.34–3.62)1.18 (0.39–3.56)2.43 (0.81–7.27)1.29 (1.00–1.65)0.047
   Adjusted odds ratio (95% CI)dReference2.04 (0.30–13.8)1.50 (0.36–6.24)1.57 (0.40–6.22)3.48 (0.81–15.0)1.33 (0.96–1.83)0.085
 Patients without internal disease etiology2333423538637
  In-hospital mortality (%)32 (13.7)6 (17.6)1 (4.3)3 (5.7)13 (15.1)9 (24.3)
   Odds ratio (95% CI)Reference0.21 (0.02–1.89)0.28 (0.07–1.21)0.83 (0.29–2.40)1.50 (0.47–4.78)1.23 (0.90–1.68)0.202
   Adjusted odds ratio (95% CI)dReference0.59 (0.04–8.37)1.17 (0.14–9.54)3.96 (0.56–28.2)10.0 (1.13–88.8)2.07 (1.23–3.48)0.006
Rewarming Procedure
 Patients with active internal rewarming80196162811
  In-hospital mortality (%)21 (26.3)8 (42.1)1 (16.7)2 (12.5)5 (17.9)5 (45.5)
   Odds ratio (95% CI)Reference0.28 (0.03–2.83)0.20 (0.03–1.12)0.30 (0.08–1.13)1.15 (0.26–5.11)0.89 (0.62–1.27)0.513
   Adjusted odds ratio (95% CI)eReference0.26 (0.01–5.37)0.23 (0.01–3.74)0.33 (0.03–4.44)3.42 (0.26–45.3)1.29 (0.71–2.36)0.408
 Patients without active internal rewarming40138308814798
  In-hospital mortality (%)82 (20.4)3 (7.9)3 (10.0)13 (14.8)30 (20.4)33 (33.7)
   Odds ratio (95% CI)Reference1.30 (0.24–6.94)2.02 (0.54–7.55)2.99 (0.86–10.4)5.92 (1.69–20.7)1.63 (1.27–2.08)< 0.001
   Adjusted odds ratio (95% CI)eReference1.52 (0.24–9.49)1.86 (0.43–8.08)2.91 (0.70–12.1)6.14 (1.38–27.4)1.63 (1.19–2.25)0.002

Values are expressed as numbers (percentages) unless indicated otherwise

aAdjusted for sex, body temperature at arrival to the hospital, the number of past medical history, activity of daily living, cold exposure, systolic blood pressure, internal disease etiology, active internal rewarming procedure

bAdjusted for sex, age category, body temperature at arrival to the hospital, the number of past medical history, activity of daily living, cold exposure, systolic blood pressure, internal disease etiology, active internal rewarming procedure

cAdjusted for sex, age category, the number of past medical history, activity of daily living, cold exposure, systolic blood pressure, internal disease etiology, active internal rewarming procedure

dAdjusted for sex, age category, body temperature at arrival to the hospital, the number of past medical history, activity of daily living, cold exposure, systolic blood pressure, active internal rewarming procedure

eAdjusted for sex, age category, body temperature at arrival to the hospital, the number of past medical history, activity of daily living, cold exposure, systolic blood pressure, internal disease etiology

In-hospital mortality and the incidence of n class="Disease">VF or pulseless VT Values are expressed as numbers (percentages) unless indicated otherwise Vf n class="Disease">ventricular fibrillation, VT ventricular tachycardia, CI confidence interval * Adjusted for sex, age category, body temperature at arrival to the hospital, the number of past medical history, activity of daily living, cold exposure, systolic blood pressure, internal disease etiology, active internal rewarming procedure In-hospital mortality (subgroup analysis) Values are expressed as numbers (percentages) unless indicated otherwise aAdjusted for sex, body temperature at arrival to the hospital, the number of past medical history, activity of daily living, cold exposure, systolic blood pressure, internal disease etiology, active internal rewarming procedure bAdjusted for sex, age category, body temperature at arrival to the hospital, the number of past medical history, activity of daily living, cold exposure, systolic blood pressure, internal disease etiology, active internal rewarming procedure cAdjusted for sex, age category, the number of past medical history, activity of daily living, cold exposure, systolic blood pressure, internal disease etiology, active internal rewarming procedure dAdjusted for sex, age category, body temperature at arrival to the hospital, the number of past medical history, activity of daily living, cold exposure, systolic blood pressure, active internal rewarming procedure eAdjusted for sex, age category, body temperature at arrival to the hospital, the number of past medical history, activity of daily living, cold exposure, systolic blood pressure, internal disease etiology

Discussion

In this study, we found that the RR of patients with n class="Disease">AH is independently associated with mortality after adjusting the important potentially confounding factors. In-hospital mortality rates increase with each 0.5 °C/h decrease in RR. Furthermore, the mortality rate in the < 0.5 °C/h group was significantly higher than that in the > 2.0 °C/h group. To the best of our knowledge, this is the first multicentre study to assess the association between RR and mortality, and the findings of this study may provide important information regarding the appropriate treatment of AH. We initially show that patients with slower RR have the following characteristics: are more likely to be older, have lower body tempen class="Species">rature at arrival to the hospital, and have an internal disease. This result is consistent with that of the previous studies [6, 17]. However, the RR in this study was slower than that in the previous studies because of the older age of our study population [10]. Another possible reason is the high proportion of the patients who developed AH in an indoor setting, which might be the result of underlying diseases such as infections [18]. Previous studies have suggested a possible association between RR and mortality. Daniel et al. reported that the mean RR in n class="Species">patients with AH who died was significantly slower than that in surviving patients in a retrospective multicentre observational study [17]. Kathleen et al. reported that the likelihood of mortality was associated with slower RR in a single-centre observational study, which included 96 patients [18]. These results are, although not the main outcome of the studies and derived from univariate analysis, consistent with the results of our study. In this study, we confirmed the negative association between RR and mortality using multivariate logistic analysis with 481 patients, which is the largest sample size in this field. There are several known physiological effects of hypothermia that could result in high n class="Disease">mortality. Cardiac contractility and pulse rate decrease as the heart cools [1, 3, 8]. Cold stress reduces the circulating blood volume due to cold-induced diuresis, extravascular plasma shift, and inadequate fluid intake [6, 19, 20]. Both hypo- and hyper-kalaemia occur in patients with AH due to the shift of extracellular potassium into the cells, acidosis, and cell death [8, 21]. Ventilatory response to carbon dioxide is attenuated and results in respiratory acidosis [3, 22]. These cardiorespiratory effects may lead to the clinical manifestations of shock and dysrhythmia [19, 22]. Cough reflex is obtunded, and ciliary activity is reduced [1, 8], predisposing to aspiration and pneumonia. Coagulopathy also occurs and is critical for patients with AH with severe trauma [23, 24]. For patients with AH, slower RR means prolonged periods of susceptibility to these potentially harmful physiological effects and could result in a higher incidence of mortality. Another outcome of this study is the incidence of VF/VT. Because n class="Disease">VF/VT in patients with AH may be unresponsive to anti-arrhythmic drug and defibrillation [1, 7, 19, 25], they are the most critical complication during rewarming. Our data showed a positive association between RR and VF/VT. However, the incidence of VF/VT was highest in the RR of the 1.5–< 2.0 °C/h group and not in the fastest RR group. Both rapid rewarming accompanied by rapid or unpredictable changes in myocardial temperature and slow rewarming accompanied by prolonged low core body temperature can be the predisposing factors of VT/VF [26, 27]. These factors may be counterbalanced, and thus, the occurrence of VT/VF in our study increased in the high-intermediate RR group. As the number of patients who presented with VF/VT was significantly small to draw a conclusion, further study is required to confirm the association between RR and the incidence of VF/VT to establish more appropriate rewarming strategies. The selection of the rewarming method can vary since no rewarming method has been proven to be better than the other rewarming methods. Our study has shown that regardless of the rewarming method, the RR is associated with mortality. It is reasonable to choose active internal rewarming when rewarming n class="Species">patients is urgent because of the haemodynamic instability due to severe hypothermia [5, 28–31]. However, considering the potential risk of complications with invasive rewarming methods [1], as well as the insufficient evidence that these methods improve the outcome in all patients with severe hypothermia, the best approach, not only for patient outcomes but also for healthcare cost, may be the stepwise approach that begins with active external and minimally invasive rewarming, and saving invasive method for patients who cannot be rewarmed adequately. This study has several limitations. First, this was a retrospective chart review study; hence, missing data were unavoidable. A total of 54 patients were excluded because of missing data, but the number of n class="Species">patients included in this study is still the largest in this field. Second, we could not categorise patients whose RR was over 2.0 °C/h because of the small number of these patients. Thus, we plan to conduct a prospective study to obtain a larger number of patients. Third, although we have adjusted for the possible confounding factors, there may be residual confounding factors because of the retrospective design. Fourth, the proportion of ‘cold exposure’ was approximately 80% in this study. However, the possibility of underestimation of cold exposure could not be ruled out because we retrospectively obtained the data of this registry.

Conclusion

In this study, we found that overall, in-hospital mortality n class="Species">rates increase with each 0.5 °C/h decrease in RR. However, judging from the results of subgroup analyses, the safest RR might differ according to the patient status or rewarming methods.
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Authors:  K A Delaney; M A Howland; S Vassallo; L R Goldfrank
Journal:  Ann Emerg Med       Date:  1989-01       Impact factor: 5.721

2.  Warming of patients with accidental hypothermia using warm water pleural lavage.

Authors:  Benedict Kjaergaard; Peter Bach
Journal:  Resuscitation       Date:  2005-12-27       Impact factor: 5.262

3.  CON: Temperature regimens and neuroprotection during cardiopulmonary bypass: does rewarming rate matter?

Authors:  David J Cook
Journal:  Anesth Analg       Date:  2009-12       Impact factor: 5.108

4.  Admission hypothermia and outcome after major trauma.

Authors:  Henry E Wang; Clifton W Callaway; Andrew B Peitzman; Samuel A Tisherman
Journal:  Crit Care Med       Date:  2005-06       Impact factor: 7.598

5.  The rewarming rate and increased peak temperature alter neurocognitive outcome after cardiac surgery.

Authors:  Alina M Grigore; Hilary P Grocott; Joseph P Mathew; Barbara Phillips-Bute; Timothy O Stanley; Aimee Butler; Kevin P Landolfo; Joseph G Reves; James A Blumenthal; Mark F Newman
Journal:  Anesth Analg       Date:  2002-01       Impact factor: 5.108

6.  The effects of the rate of postresuscitation rewarming following hypothermia on outcomes of cardiopulmonary resuscitation in a rat model.

Authors:  Xiaoye Lu; Linhao Ma; Shijie Sun; Jeifeng Xu; Changqing Zhu; Wanchun Tang
Journal:  Crit Care Med       Date:  2014-02       Impact factor: 7.598

7.  Wilderness Medical Society practice guidelines for the out-of-hospital evaluation and treatment of accidental hypothermia: 2014 update.

Authors:  Ken Zafren; Gordon G Giesbrecht; Daniel F Danzl; Hermann Brugger; Emily B Sagalyn; Beat Walpoth; Eric A Weiss; Paul S Auerbach; Scott E McIntosh; Mária Némethy; Marion McDevitt; Jennifer Dow; Robert B Schoene; George W Rodway; Peter H Hackett; Brad L Bennett; Colin K Grissom
Journal:  Wilderness Environ Med       Date:  2014-12       Impact factor: 1.518

8.  Serum potassium levels during prolonged hypothermia.

Authors:  A Koht; R Cane; L J Cerullo
Journal:  Intensive Care Med       Date:  1983       Impact factor: 17.440

9.  Urban accidental hypothermia: 135 cases.

Authors:  J W Miller; D F Danzl; D M Thomas
Journal:  Ann Emerg Med       Date:  1980-09       Impact factor: 5.721

10.  Rapid endovascular warming for profound hypothermia.

Authors:  Megan Laniewicz; Kenneth Lyn-Kew; Robert Silbergleit
Journal:  Ann Emerg Med       Date:  2007-08-03       Impact factor: 5.721

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1.  Care at critical care medical centers is associated with improved outcomes in patients with accidental hypothermia: a historical cohort study from the J-Point registry.

Authors:  Yoshihiro Fujimoto; Tasuku Matsuyama; Sachiko Morita; Naoki Ehara; Nobuhiro Miyamae; Yohei Okada; Takaaki Jo; Yasuyuki Sumida; Nobunaga Okada; Makoto Watanabe; Masahiro Nozawa; Ayumu Tsuruoka; Yoshiki Okumura; Tetsuhisa Kitamura; Tetsuro Takegami
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2.  Machine learning-based prediction models for accidental hypothermia patients.

Authors:  Yohei Okada; Tasuku Matsuyama; Sachiko Morita; Naoki Ehara; Nobuhiro Miyamae; Takaaki Jo; Yasuyuki Sumida; Nobunaga Okada; Makoto Watanabe; Masahiro Nozawa; Ayumu Tsuruoka; Yoshihiro Fujimoto; Yoshiki Okumura; Tetsuhisa Kitamura; Ryoji Iiduka; Shigeru Ohtsuru
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