Evidence map›Paper›PMID 31608610›Full record

ArticleAsian spine journal2020

Unplanned Readmissions after Spine Surgery: A Single-Center Prospective Analysis of a 90-Day Model in 2,860 Cases.

Mahender Avinash, Karukayil Ramakrishnan Renjith, Ajoy Prasad Shetty, Vyom Sharma, Rishi Mugesh Kanna, Shanmuganathan Rajasekaran

Abstract read
In one paragraph

Article in Asian spine journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. The incidence and risk factors for unplanned readmission within 90 days after surgical treatment of spinal fractures.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2024
    Article
  4. Article
  5. Article
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

6 authors.

Mahender AvinashDepartment of Orthopedics, Ganga Medical Centre & Hospital Pvt. Ltd., Coimbatore, India.
Karukayil Ramakrishnan RenjithDepartment of Orthopedics, Ganga Medical Centre & Hospital Pvt. Ltd., Coimbatore, India.
Ajoy Prasad ShettyDepartment of Orthopedics, Ganga Medical Centre & Hospital Pvt. Ltd., Coimbatore, India.
Vyom SharmaDepartment of Orthopedics, Ganga Medical Centre & Hospital Pvt. Ltd., Coimbatore, India.
Rishi Mugesh KannaDepartment of Orthopedics, Ganga Medical Centre & Hospital Pvt. Ltd., Coimbatore, India.
Shanmuganathan RajasekaranDepartment of Orthopedics, Ganga Medical Centre & Hospital Pvt. Ltd., Coimbatore, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

designProspective study. PURPOSE: During the last decades, an emergence of unplanned readmissions has been shown to be a useful tool to gage the healthcare quality and hospital performance. Previous studies were limited by their retrospective designs based on database information and short-term 30-day follow-up intervals. We analyzed the incidence and causes for unplanned readmissions following spine surgery at a 90-day interval and the difference at 30-, 31-60-, and 61-90-day intervals after discharge. Additionally, we assessed total beddays lost and the economic impact of readmissions and probable risk factors. OVERVIEW OF LITERATURE: Recent reports on readmission rates suggested the contribution of this parameter for the assessment of healthcare quality.

methodsA prospective analysis of 2,860 admissions was performed over 1 year in a tertiary care orthopedic hospital. All unscheduled readmissions following spine surgery within 90 days of discharge were included, irrespective of type or location of surgery. Polytrauma, primary osseous infections, and planned readmissions were excluded.

resultsOur readmission rate was 3.32% (95/2,860). Leading readmission causes were surgical site infections (SSIs) accounting for 44.21% (n=42; superficial, 23; deep, 11; organ and space, 8), followed by aseptic pain 31.58% (n=30) and medical causes 13.68% (n=13). Though 86.95% of superficial SSIs occurred within 30 days, 21.1% of deep SSIs occurred beyond 30 days. During the 30-90-day interval, 33.68% of readmissions occurred. The financial burden amounted to 41,93,660 Indian Rupees, and the mean bed-days lost was 7.33 per readmission. Hospital stay ≥10 days, health insurance, and comorbid illnesses (diabetes, hypertension, and liver disease) were associated with readmissions (p<0.05).

conclusionsOur study showed that SSIs and aseptic pain were the leading causes of readmissions at 90 days after spine surgery. Limiting the analysis to 30-day readmissions as in previous studies would lead to failure in the identification of more severe complications like deep SSIs. Continued vigilance, particularly for patients with predisposing factors, could help alleviate the financial burden.

Indexed as

Quality of health careReadmissionsSpineSurgical-site infections

Identifiers

PMID31608610
PMCPMC7010519

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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.