126 research outputs found

    Pituitary and adrenal response to critical illness

    Get PDF

    Randomized, Double-Blind Trial of the Effect of Fluid Composition on Electrolyte, Acid-Base, and Fluid Homeostasis in Patients Early After Subarachnoid Hemorrhage

    Get PDF
    Background: Hyper- and hyponatremia are frequently observed in patients after subarachnoidal hemorrhage, and are potentially related to worse outcome. We hypothesized that the fluid regimen in these patients is associated with distinct changes in serum electrolytes, acid-base disturbances, and fluid balance. Methods: Thirty-six consecutive patients with SAH were randomized double-blinded to either normal saline and hydroxyethyl starch dissolved in normal saline (VoluvenÂź; saline) or balanced crystalloid and colloid solutions (RingerfundinÂź and TetraspanÂź; balanced, n=18, each) for 48h. Laboratory samples and fluid balance were evaluated at baseline and at 24 and 48h. Results: Age [57±13years (mean±SD; saline) vs. 56±12years (balanced)], SAPS II (38±16 vs. 34±17), Hunt and Hess [3 (1-4) (median, range) vs. 2 (1-4)], and Fischer scores [3.5 (1-4) vs. 3.5 (1-4)] were similar. Serum sodium, chloride, and osmolality increased in saline only (p≀0.010, time-group interaction). More patients in saline had Cl >108mmol/L [16 (89%) vs. 8 (44%); p=0.006], serum osmolality >300mosmol/L [10 (56%) vs. 2 (11%); p=0.012], a base excess 1,500mL during the first 24h [11 (61%) vs. 5 (28%); p=0.046]. Hyponatremia and hypo-osmolality were not more frequent in the balanced group. Conclusions: Treatment with saline-based fluids resulted in a greater number of patients with hyperchloremia, hyperosmolality, and positive fluid balance >1,500mL early after SAH, while administration of balanced solutions did not cause more frequent hyponatremia or hypo-osmolality. These results should be confirmed in larger studie

    Physicians' perceptions of intensive care patients' 1-year prognoses compared to realistic prognoses

    Get PDF
    Background: It is unknown whether physicians treating critically ill patients have realistic perceptions of their patients' prognoses. Methods: We sent a survey by email to Finnish anesthesiologists to investigate their ability to estimate the probability of 1-year survival of intensive care unit (ICU) patients based on data available at the beginning of intensive care. We presented 12 fictional but real-life-based patient cases and asked the respondent to estimate the probability of 1-year survival in each case by choosing one of the alternatives 5%, 10%–90% in 10% intervals and 95%. We compared the physicians' estimates to registry data-based realistic prognoses of comparable patients treated in the ICU. Based on the difference between the estimate and the realistic prognosis, we categorized the estimates into three groups: (1) difference less than 10 percentage points, (2) difference between 10 and 20 percentage points, and (3) difference over 20 percentage points. Results: We received 210 responses (totally 2520 estimates). Of the respondents, 43 (20.5%) were specialists working mainly in the ICU, 81 (38.6%) were specialists working occasionally in the ICU, 47 (22.4%) were specialists not working in the ICU, and 39 (18.6%) were doctors in training. The difference between the estimate and the realistic prognosis was less than 10 percentage points for 1083 (43.0%) estimates, between 10 and 20 percentage points for 645 (25.6%) estimates, and over 20 percentage points for 792 (31.4%) estimates, out of which 612 (24.3% of all estimates) underestimated and 180 (7.1%) overestimated the likelihood of survival. The median error (the median of the differences between the estimate and the realistic prognosis) for all estimates was −8.8 [interquartile range (IQR), −20.0 to −0.2], which means that the most typical response underestimated the likelihood of survival by 9 percentage points. Based on the 12 estimates, we calculated the median error for each respondent. The median (IQR) of these median errors was −8.6 (−12.6 to −5.0) for specialists working mainly in the ICU, −8.1 (−13.0 to −5.2) for specialists working occasionally in the ICU, −9.7 (−17.7 to −6.3) for specialists not working in the ICU, and −9.1 (−14.5 to −5.1) for doctors in training (p =.29). Conclusion: Finnish anesthesiologists commonly misestimate the long-term prognoses of ICU patients, more often underestimating than overestimating the likelihood of 1-year survival. More education about critically ill patients' prognoses and better prediction tools are needed.Peer reviewe

    Onko ylipainehappihoito vaikuttavaa?

    Get PDF
    Kommentti Mika Valtosen kirjoitukseen Finnanest 48(3):230-237, 201

    Koronaviruspandemiaan liittynyt tehohoidon tarve ja hoitotulokset Suomessa kevÀÀn ja kesÀn 2020 aikana

    Get PDF
    Vertaisarvioitu.COVID-19-pandemia aiheutti merkittÀvÀÀ tehohoidon tarvetta kevÀÀllÀ 2020. Tilannekuvaa kokoamaan perustettiin tehohoidon koordinoiva toimisto, joka raportoi viranomaisille ajantasaista tietoa potilas- ja paikkamÀÀristÀ koko maassa. Suurin tehohoidon kuormitus kohdistui HUS:n sairaaloihin. Teho-osastoilla hoidettiin yhteensÀ 227:ÀÀ COVID-19-potilasta, ja erillisiÀ tehohoitojaksoja kirjattiin 293. Suomessa COVID-19-potilaiden tehohoitokuolleisuus oli vÀhÀistÀ, vain 15 %. IkÀ ja krooniset sairaudet lisÀsivÀt kuolleisuutta. Tehohoitojaksot olivat tavanomaisia tehohoitojaksoja pidempiÀ (14 vrk vs 3 vrk), ja 67 % potilaista tarvitsi hengityslaitehoitoa. Epidemian vaikeimmassa vaiheessa huhtikuun puolivÀlissÀ tehohoitokapasiteettia oli jo kasvatettu voimakkaasti, ja sen tÀyttöaste jÀi alle puoleen.Peer reviewe
    • 

    corecore