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1.
Physiotherapy ; 105(3): 297-306, 2019 09.
Article in English | MEDLINE | ID: mdl-30876715

ABSTRACT

BACKGROUND AND AIM: Telehealth is a strategy to expand the reach of pulmonary rehabilitation (PR). Smartphones can monitor and transmit oxygen saturation (SpO2) and heart rate (HR) data to ensure patient safety during home-based or other exercise. The purpose of this study was to evaluate the usability, validity and reliability of a Kenek O2 pulse oximeter and custom prototype smartphone application (smartphone oximeter) during rest and exercise in healthy participants and those with chronic lung disease. METHODS: Fifteen individuals with chronic lung disease and 15 healthy controls were recruited. SpO2 and HR were evaluated at rest and during cycling and walking. SpO2 was valid if the mean bias was within +±2%, the level of agreement (LoA) was within ±4%; HR was valid if the mean bias was within ±5 beats per min (bpm), LoA was within ±10bpm. Usability was assessed with a questionnaire and direct observation. RESULTS: The smartphone oximeter was deemed easy to use. At rest, SpO2 measures were valid in both groups (bias <2%, lower bound LoA -2 to 3%). During exercise, SpO2 measurement did not meet validity and reliability thresholds in the patients with chronic lung disease, but was accurate for the healthy controls. HR recording during exercise or rest was not valid (LoA>10bpm) in either group. CONCLUSIONS: The smartphone oximeter did not record HR or SpO2 accurately in patients with chronic lung disease during exercise, although SpO2 was valid at rest. During exercise, patients with chronic lung disease should pause to ensure greatest accuracy of SpO2 and HR measurement.


Subject(s)
Exercise , Lung Diseases/physiopathology , Mobile Applications , Oximetry/instrumentation , Smartphone , Telemedicine , Adult , Aged , Case-Control Studies , Female , Fingers/blood supply , Heart Rate , Humans , Male , Middle Aged , Oxygen/blood , Reproducibility of Results
2.
Environ Microbiol ; 10(12): 3349-65, 2008 Dec.
Article in English | MEDLINE | ID: mdl-18771501

ABSTRACT

Syndiniales are a parasitic order within the eukaryotic lineage Dinophyceae (Alveolata). Here, we analysed the taxonomy of this group using 43655 18S rRNA gene sequences obtained either from environmental data sets or cultures, including 6874 environmental sequences from this study derived from Atlantic and Mediterranean waters. A total of 5571 out of the 43655 sequences analysed fell within the Dinophyceae. Both bayesian and maximum likelihood phylogenies placed Syndiniales in five main groups (I-V), as a monophyletic lineage at the base of 'core' dinoflagellates (all Dinophyceae except Syndiniales), although the latter placement was not bootstrap supported. Thus, the two uncultured novel marine alveolate groups I and II, which have been highlighted previously, are confirmed to belong to the Syndiniales. These groups were the most diverse and highly represented in environmental studies. Within each, 8 and 44 clades were identified respectively. Co-evolutionary trends between parasitic Syndiniales and their putative hosts were not clear, suggesting they may be relatively 'general' parasitoids. Based on the overall distribution patterns of the Syndiniales-affiliated sequences, we propose that Syndiniales are exclusively marine. Interestingly, sequences belonging to groups II, III and V were largely retrieved from the photic zone, while Group I dominated samples from anoxic and suboxic ecosystems. Nevertheless, both groups I and II contained specific clades preferentially, or exclusively, retrieved from these latter ecosystems. Given the broad distribution of Syndiniales, our work indicates that parasitism may be a major force in ocean food webs, a force that is neglected in current conceptualizations of the marine carbon cycle.


Subject(s)
Biodiversity , Eukaryota/classification , Eukaryota/isolation & purification , Seawater/parasitology , Animals , Atlantic Ocean , Cluster Analysis , DNA, Protozoan/genetics , DNA, Ribosomal/chemistry , DNA, Ribosomal/genetics , Genes, rRNA , Mediterranean Sea , Phylogeny , RNA, Ribosomal, 18S/genetics , Sequence Analysis, DNA
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