Evidence map›Paper›PMID 34306435›Full record

ArticleAmerican journal of translational research2021

Application and significance of PiCCO monitoring technique combined with troponin I detection in fluid resuscitation of elderly patients with septic myocardial dysfunction.

Guojun Pan, Xiuli Fan, Jie Bian, Zemin He, Jiajun Yue, Hua Sun, Fei Zou, Chenglei Chao, Yiqun Chao, Ying Fu and 2 more

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 88% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 1 institution in 1 country.

Guojun PanDepartment of Critical Care Medicine, Changzhou Fourth People's Hospital Changzhou 213000, Jiangsu Province, China.
Xiuli FanDepartment of Critical Care Medicine, Changzhou Fourth People's Hospital Changzhou 213000, Jiangsu Province, China.
Jie BianDepartment of Critical Care Medicine, Changzhou Fourth People's Hospital Changzhou 213000, Jiangsu Province, China.
Zemin HeDepartment of Emergency, Changzhou Fourth People's Hospital Changzhou 213000, Jiangsu Province, China.
Jiajun YueDepartment of Critical Care Medicine, Changzhou Fourth People's Hospital Changzhou 213000, Jiangsu Province, China.
Hua SunDepartment of Critical Care Medicine, Changzhou Fourth People's Hospital Changzhou 213000, Jiangsu Province, China.
Fei ZouDepartment of Critical Care Medicine, Changzhou Fourth People's Hospital Changzhou 213000, Jiangsu Province, China.
Chenglei ChaoDepartment of Critical Care Medicine, Changzhou Fourth People's Hospital Changzhou 213000, Jiangsu Province, China.
Yiqun ChaoDepartment of Emergency, Changzhou Fourth People's Hospital Changzhou 213000, Jiangsu Province, China.
Ying FuDepartment of Emergency, Changzhou Fourth People's Hospital Changzhou 213000, Jiangsu Province, China.
Xiao WangDepartment of Emergency, Changzhou Fourth People's Hospital Changzhou 213000, Jiangsu Province, China.
Shuhua ChenDepartment of Critical Care Medicine, Changzhou Fourth People's Hospital Changzhou 213000, Jiangsu Province, China.
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study was designed to demonstrate the predictive value of Pulse indicate Contour Cardiac Output (PiCCO) monitoring technique combined with troponin I (cTnI) detection in septic myocardial dysfunction (SMD) of the elderly.

methodsOne hundred and nineteen elderly patients with SMD treated in our hospital from March 2016 to September 2019 were enrolled and allocated into the joint group (JG; 64 cases) for capacity management of fluid resuscitation under the guidance of PiCCO monitoring technique and cTnI detection, and the control group (CG; 55 cases) for conventional capacity management. Clinical indicators, hemodynamics, improvement of myocardial injury markers and inflammatory factors 6 h and 36 h post intervention, fluid balance 6 h, 12 h and 36 h post intervention, drug consumption (norepinephrine), treatment effect and 28-day hospitalization mortality were compared between the two groups.

resultsAfter resuscitation, the urine volume per hour and the fluid resuscitation volume were higher while the blood lactic acid (BLA) expression was lower in JG as compared to CG. JG presented a remarkably lower central venous pressure (CVP) than CG after resuscitation, with notably higher mean arterial pressure (MAP) and central venous oxygen saturation (ScvO2). In comparison with CG, JG displayed dramatically lower cTnI and N-terminal pro-brain natriuretic peptide (NT-ProBNP) 6 h and 36 h post intervention, as well as evidently reduced interleukin-6 (IL-6), procalcitonin (PCT) and high-sensitivity C-reactive protein (hs-CRP). After 36 h of intervention, the fluid balance was evidently lower in JG than in CG. JG showed statistically less use of norepinephrine, less time of mechanical ventilation and ICU stay, and noticeably lower incidence of multiple organ dysfunction syndrome (MODS), as well as dramatically lower 28-day hospitalization mortality than CG post intervention.

conclusionsPiCCO monitoring technique combined with cTnI detection is high-performing in fluid resuscitation of elderly patients with SMD, which can meliorate the myocardial function of patients, reduce medication and facilitate disease recovery.

Indexed as

elderly patients with septic myocardial dysfunctionfluid resuscitationPiCCO monitoring technique combined with cTnI detection

Identifiers

PMID34306435
PMCPMC8290674
OpenAlexW3186393381

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.