Pleural effusions of urinary etiologies

Karki, Apurwa; Riley, Leonard; Mehta, Hiren J.; Ataya, Ali

doi:10.1016/j.disamonth.2018.09.002

Cited by 2 publications

(3 citation statements)

References 33 publications

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“…14 Similarly, bronchophony, whispered pectoriloquy, and egophony 15 are common presentations of alveolar or interstitial space fluid overload. Aligning with these are the reports on the negative fluid balance effect of haemodialysis on vocal acoustics parameters, [16][17][18][19] respiratory muscle strength and endurance, 20 and total lung capacity, 21,22 all with bearings on phonation aerodynamics. These effects resonate with the commonly reported transient (≤24 h) post-dialysis hoarseness, 23,24 shown to correlate with decreased vocal fold thickness.…”

Section: Discussionmentioning

confidence: 69%

Feasibility of remote speech analysis in evaluation of dynamic fluid overload in heart failure patients undergoing haemodialysis treatment

et al. 2021

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Aims This study aimed to assess the ability of a voice analysis application to discriminate between wet and dry states in chronic heart failure (CHF) patients undergoing regular scheduled haemodialysis treatment due to volume overload as a result of their chronic renal failure. Methods and resultsIn this single-centre, observational study, five patients with CHF, peripheral oedema of ≥2, and pulmonary congestion-related dyspnoea, undergoing haemodialysis three times per week, recorded five sentences into a standard smartphone/tablet before and after haemodialysis. Recordings were provided that same noon/early evening and the next morning and evening. Patient weight was measured at the hospital before and after each haemodialysis session. Recordings were analysed by a smartphone application (app) algorithm, to compare speech measures (SMs) of utterances collected over time. On average, patients provided recordings throughout 25.8 ± 3.9 dialysis treatment cycles, resulting in a total of 472 recordings. Weight changes of 1.95 ± 0.64 kg were documented during cycles. Median baseline SM prior to dialysis was 0.87 ± 0.17, and rose to 1.07 ± 0.15 following the end of the dialysis session, at noon (P = 0.0355), and remained at a similar level until the following morning (P = 0.007). By the evening of the day following dialysis, SMs returned to baseline levels (0.88 ± 0.19). Changes in patient weight immediately after dialysis positively correlated with SM changes, with the strongest correlation measured the evening of the dialysis day [slope: À0.40 ± 0.15 (95% confidence interval: À0.71 to À0.10), P = 0.0096]. Conclusions The fluid-controlled haemodialysis model demonstrated the ability of the app algorithm to identify cyclic changes in SMs, which reflected bodily fluid levels. The voice analysis platform bears considerable potential as a harbinger of impending fluid overload in a range of clinical scenarios, which will enhance monitoring and triage efforts, ultimately optimizing remote CHF management.

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Section: Discussionmentioning

confidence: 69%

Feasibility of remote speech analysis in evaluation of dynamic fluid overload in heart failure patients undergoing haemodialysis treatment

et al. 2021

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“…Other causes include bleeding diatheses, pulmonary infarction, embolism, or vascular malformations. Uremia can also lead to a hemorrhagic pleural effusions in patients with chronic kidney disease 3 …”

Section: Introductionmentioning

confidence: 99%

“…Uremia can also lead to a hemorrhagic pleural effusions in patients with chronic kidney disease. 3 Hemorrhagic pleural effusion is a diagnostic dilemma and a therapeutic challenge. Angioblastic and fibroblastic proliferation can lead to the formation of fibrin clots.…”

mentioning

confidence: 99%

Management of hemorrhagic pleural effusion with intrapleural streptokinase in a patient on peritoneal dialysis and dual antiplatelet therapy

Thapaliya

Bhattarai

Gautam

et al. 2023

Clinical Case Reports

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Pleural effusion is seen in up to 10 percent of patients on peritoneal dialysis (PD). 1 The differential diagnosis of pleural effusion in PD patients is extensive. It includes general causes of pleural effusion and causes unique to PD patients. Transudative pleural effusions in PD patients may be commonly due to volume overload and cardiac failure, or rarely due to pleuroperitoneal leakage. 2 Exudative effusions could occur due to infection, inflammation, or hemorrhage. The presence of a hemorrhagic pleural effusion can narrow the differential diagnoses to trauma,

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Pleural effusions of urinary etiologies

Cited by 2 publications

References 33 publications

Feasibility of remote speech analysis in evaluation of dynamic fluid overload in heart failure patients undergoing haemodialysis treatment

Feasibility of remote speech analysis in evaluation of dynamic fluid overload in heart failure patients undergoing haemodialysis treatment

Management of hemorrhagic pleural effusion with intrapleural streptokinase in a patient on peritoneal dialysis and dual antiplatelet therapy

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