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Dive into the research topics where Petteri Lapinlampi is active.

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Featured researches published by Petteri Lapinlampi.


Liver Transplantation | 2014

Frontal electroencephalogram variables are associated with the outcome and stage of hepatic encephalopathy in acute liver failure

Juhani Stewart; Mika Sarkela; Anna-Maria Koivusalo; Johanna Wennervirta; Tapani Salmi; Helena Isoniemi; Ulf-Håkan Stenman; Hanna E. Viertio-Oja; Petteri Lapinlampi; L. Lindgren; Ulla-Stina Salminen; A. Vakkuri

Acute liver failure (ALF) and hepatic encephalopathy (HE) can lead to an elevated intracranial pressure (ICP) and death within days. The impaired liver function increases the risks of invasive ICP monitoring, whereas noninvasive methods remain inadequate. The purpose of our study was to explore reliable noninvasive methods of neuromonitoring for patients with ALF in the intensive care unit (ICU) setting; more specifically, we wanted to track changes in HE and predict the outcomes of ALF patients treated with albumin dialysis. The study included 20 patients with severe ALF at admission who had been referred to the ICU of the liver transplantation (LT) center for albumin dialysis treatment and evaluation for transplantation. Data were collected from all study patients in the form of continuous frontal electroencephalography (EEG) recordings and transcranial Doppler (TCD) measurements of cerebral blood flow. Among the studied EEG variables, the 50% spectral edge frequency decreased and the delta power increased as the HE stage increased. Both variables were predictive of the stage of HE [prediction probability (PK) of 50% spectral edge frequency = 0.23, standard error (SE) = 0.03; PK of delta power = 0.76, SE = 0.03]. The total wavelet subband entropy, a novel variable that we used for tracking abnormal EEG activity, predicted the outcome of ALF patients treated with albumin dialysis (PK = 0.88, SE = 0.09). With a threshold value of 1.6, the TCD pulsatility index had an odds ratio of 1.1 (95% confidence interval = 0.1‐9.3) for a poor outcome (LT or death). In conclusion, EEG variables are useful for the monitoring of HE and can be used to predict outcomes of ALF. TCD measurements do not predict patient outcomes. Liver Transpl 20:1256–1265, 2014.


Critical Care | 2015

A randomized controlled proof-of-concept trial of early sedation management using Responsiveness Index monitoring in mechanically ventilated critically ill patients.

Markus Kaila; Kirsty Everingham; Petteri Lapinlampi; Petra Peltola; Mika Sarkela; Kimmo Uutela; Timothy S. Walsh

IntroductionDeep sedation is associated with adverse patient outcomes. We recently described a novel sedation-monitoring technology, the Responsiveness Index (RI), which quantifies patient arousal using processed frontal facial EMG data. We explored the potential effectiveness and safety of continuous RI monitoring during early intensive care unit (ICU) care as a nurse decision-support tool.MethodsIn a parallel-group controlled single centre proof of concept trial, patients requiring mechanical ventilation and sedation were randomized via sequential sealed envelopes following ICU admission. Control group patients received hourly clinical sedation assessment and daily sedation holds; the RI monitor was connected but data were concealed from clinical staff. The intervention group received control group care, but RI monitoring was visible and nurses were asked to adjust sedation to maintain patients with an RI>20 whenever possible. Traffic-light colour coding (RI<20, Red; 20–40, Amber; >40, Green) simplified decision-making. The intervention lasted up to 48 hours. Sixteen nurses were interviewed to explore their views of the novel technology.ResultsWe analysed 74 patients treated per protocol (36 intervention; 38 control). The proportion of patients with RI<20 was identical at the start of monitoring (54 % both groups). Overall, the proportion of time with RI<20 trended to lower values for the intervention group (median 16 % (1–3rd quartile 8–30 %) versus 33 % (10–54 %); P = 0.08); sedation and analgesic use was similar. A post hoc analysis restricted to patients with RI<20 when monitoring started, found intervention patients spent less time with low RI value (16 % (11–45 %) versus 51 % (33–72 %); P = 0.02), cumulative propofol use trended to lower values (median 1090 mg versus 2390 mg; P = 0.14), and cumulative alfentanil use was lower (21.2 mg versus 32.3 mg; P = 0.01). RASS scores were similar for both groups. Sedation related adverse event rates were similar (7/36 versus 5/38). Similar proportions of patients had sedation holds (83 % versus 87 %) and were extubated (47 % versus 44 %) during the intervention period. Nurses valued the objective visible data trends and simple colour prompts, and found RI monitoring a useful adjunct to existing practice.ConclusionsRI monitoring was safe and acceptable. Data suggested potential to modify sedation decision-making. Larger trials are justified to explore effects on patient-centred outcomes.Trial registrationNCT01361230 (registered April 19, 2010)


Archive | 2005

Measurement of responsiveness of a subject with lowered level of consciousness

Hanna E. Viertio-Oja; Kimmo Uutela; Petteri Lapinlampi


Critical Care | 2010

Agitation and pain during physiotherapy in intensive care

K Everingham; Lisa Salisbury; Petteri Lapinlampi; I Cornwall; F Frame; T Walsh


Archive | 2006

Measurement of responsiveness of a patient under anaesthesia

Hanna E. Viertio-Oja; Petteri Lapinlampi; Kimmo Uutela


Critical Care | 2006

Novel measure for EEG/EMG responsiveness may indicate the level of sedation in ICU patients

Hanna E. Viertio-Oja; Petteri Lapinlampi; Mika Sarkela; Pekka Meriläinen; Pamela Ramsay; Timothy S. Walsh


Critical Care | 2009

Novel responsiveness index measures the level of sedation in cardiac ICU patients

Petteri Lapinlampi; Hanna E. Viertio-Oja; Mika Sarkela; Kimmo Uutela; Pekka Meriläinen; Pamela Ramsay; Timothy S. Walsh


The journal of the Intensive Care Society | 2007

ICS Free Paper Presentation (Research) Winner Evaluation of EEG Spectral Entropy for Sedation Monitoring in Intensive Care Patients

Timothy S. Walsh; P Ramsay; Mika Sarkela; Hanna E. Viertio-Oja; Pekka Meriläinen; Petteri Lapinlampi


Archive | 2007

Unterscheidung des natürlichen und des wirkstoffinduzierten Schlafs einer Person

Petteri Lapinlampi; Mika Sarkela


Archive | 2007

Unterscheidung des natürlichen und des wirkstoffinduzierten Schlafs einer Person Discrimination of natural and drug-induced sleep of a person

Petteri Lapinlampi; Mika Sarkela

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Pekka Meriläinen

Helsinki University of Technology

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A. Vakkuri

University of Helsinki

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