3 research outputs found

    Acute kidney injury is a powerful independent predictor of mortality in critically ill patients: a multicenter prospective cohort study from Kinshasa, the Democratic Republic of Congo

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    BACKGROUND: Despite the growing incidence of acute kidney injury (AKI) worldwide, there is little data on the burden and outcomes of AKI in intensive care unit (ICU) in low resource settings. The present study assessed the incidence of AKI and its impact on mortality in ICU in Kinshasa (Democratic Republic of Congo). METHODS: In a prospective cohort study, 476 consecutive critically ill patients (mean age 52 years, 57 % male) were screened for the presence of AKI in seven ICU from January 1st to March 30th, 2015. Serum creatinine was measured by the enzymatic method (Cobas C111 device®). AKI and its stages (no AKI, AKI 1, AKI 2 and AKI 3) were defined according to AKIN recommendations. The primary outcome was 28 days mortality. Survival (time-to death) curves were built using the Kaplan Meier methods. Predictors of mortality were assessed by Cox proportional hazards regression models. p < 0.05 defined the level of statistical significance. RESULTS: The cumulative incidence of AKI was 52.7 % with AKI stage 1, 2 and 3 in 23.7 %, 16.2 % and 12.8 % of patients, respectively. Among patients who developed AKI, 146 died (58 %) vs 62 patients (28 %) in the group without AKI. Only 6.5 % of the patients with AKI stage 3 benefited from dialysis. Median survival time was 15.0 days in patients without AKI and 3.0 days, 6.0 days and 8.0 days in patients with AKI stage 3, 2 and 1 (p < 0.001), respectively. In addition to respiratory distress-induced polypnea (HRa 1.60; 95 % CI: 1.08-2.37; p = 0.018), oxygen desaturation (HRa 1.53; 95 % CI: 1.13-2.08; p = 0.006) and multi-organic involvement (HRa 1.63; 95 % CI: 1.15-2.30), AKI emerged as an independent predictor of death (HRa 1.82; 95 % CI: 1.34-2.48; p < 0.001). CONCLUSION: More than half of critically ill patients in the present cohort developed AKI which contributed substantially to short-term mortality, highlighting the need for its prevention, early detection and management as well as the availability of dialysis in ICU

    Impact de la mise en place d’un réseau des soins pour la traumatologie grave dans la ville de Kinshasa, RD Congo : étude quasi-expérimentale

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    Contexte et objectif: Une part non négligeable de décès posttraumatiques semble évitable par une meilleure prise en charge. L’objectif de la présente étude était d’évaluer l’impact de la mise en place d’un réseau des soins sur la mortalité des patients traumatisés graves dans la ville de Kinshasa. Méthodes: C’était une étude multicentrique quasi-expérimentale avant/après portant sur les patients adultes hospitalisés en réanimation ousoins intensifs pour traumatisme grave, entre le 1er janvier 2009 et le 31 décembre 2014. L’intervention a consisté à la mise en place d’un réseau de soins entre les deux groupes. La mortalité hospitalière ajustée sur l’âge, le sexe et le score RTS étaient le critère de jugement principal. Résultats: Au total, 4 hôpitaux ont participé et ont inclus 195 patients consécutifs dans le groupe pré-interventionnel contre 9 hôpitaux et 210 patients dans le groupe post-interventionnel. Entre les deux groupes, le taux d’admission directe s’est amélioré (48,6 % vs 75,9 %) ainsi que le temps d’arrivée à l’hôpital (6,5 h vs 4,2 h). Il a été relevé une diminution des volumes de perfusion associée à une augmentation des taux d’utilisation des catécholamines (2% vs 6,6 %), de la transfusion sanguine (15,8 % vs 25,7 %) et de l’acide tranexamique (zéro % vs 77,6 %). Le taux d’intubationen cas de GCS &lt; 9 (13,2 % vs 37 %), d’administration de mannitol en présence d’une mydriase (58 % vs 72,4 %) et de réalisation du scanner cérébral chez les patients ayant un GCS ≤14 (10,6 % vs 54,6%) ont augmenté également. En revanche, le pourcentage de patients ayant bénéficié d’un&nbsp; drainage thoracique (0,5 % vs 1,4 %) et la fréquence d’actes de chirurgie (43 % vs 50 %) n’ont pas significativement varié. La mortalité, quant à elle,&nbsp; est significativement passée de 73,3 % à 54,7 %. Conclusion: Une amélioration des pratiques et une baisse de la mortalité ont été observées après&nbsp; la mise en place du réseau de soins. &nbsp; English title: Impact of the establishment of a severe trauma care network in the City of Kinshasa, Democratic Republic of the Congo: a quasi-experimental study Context and objective: Better management is mandatory for avoidable post-traumatic deaths. This study aimed to assess the impact of the&nbsp; implementation of a trauma network on the mortality of severe trauma patients in Kinshasa, DR Congo. Methods: The multicentric quasic-experimental before/after survey included adult patients admitted in intensive care unit for trauma in Kinshasa&nbsp; between January 2009 and December 2014. The relevance of the implementation of a trauma network was assessed. In-hospital mortality adjusted&nbsp; for age, gender and RTS score was the primary endpoint. Results: A total of 195 consecutive patients was concerned from 4 hospitals in the pre-intervention group vs 210 patients from 9 hospitals in the&nbsp; postintervention group. In the two groups, the direct admission rate improved (48.6 % vs 75.9 %) as well as the time of arrival at the hospital (4.2 h&nbsp; vs 6.5 h). There was a decrease in infusion volumes associated with an increase utilization rate of catecholamines 2 % vs. 6.6 %), blood transfusion (15.8 % vs. 25.7 %) and acid tranexamic (0 % vs 77.6 %). The rate of intubation in the event of GCS &lt; 9 (13.2 % vs 37 %), administration of mannitol in&nbsp; the presence of mydriasis (58 % vs 72.4 %) and realization of the brain scan in patients with a GCS ≤14 (10.6 % vs&nbsp; 4.6 %) also increased. However, the&nbsp; percentage of patients who received chest drainage (0.5 % vs&nbsp; 1.4 %) and the frequency of surgery (43 % vs 50 %) did not vary significantly. Mortality, meanwhile, fell from 73.3 % to 54.7 %. Conclusion: An improvement in practices and a reduction in mortality were observed after the&nbsp; implementation of the trauma network
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